diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/accelerator_type.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/accelerator_type.proto
index 9c24ae5921d..0bd6d10ae7f 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/accelerator_type.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/accelerator_type.proto
@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -46,9 +46,6 @@ enum AcceleratorType {
   // Nvidia Tesla T4 GPU.
   NVIDIA_TESLA_T4 = 5;
 
-  // TPU v2.
-  TPU_V2 = 6;
-
-  // TPU v3.
-  TPU_V3 = 7;
+  // Nvidia Tesla A100 GPU.
+  NVIDIA_TESLA_A100 = 8;
 }
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/artifact.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/artifact.proto
new file mode 100644
index 00000000000..f47df663f2f
--- /dev/null
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/artifact.proto
@@ -0,0 +1,90 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/value.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ArtifactProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
+option ruby_package = "Google::Cloud::AIPlatform::V1";
+
+// Instance of a general artifact.
+message Artifact {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Artifact"
+    pattern: "projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}"
+  };
+
+  // Describes the state of the Artifact.
+  enum State {
+    // Unspecified state for the Artifact.
+    STATE_UNSPECIFIED = 0;
+
+    // A state used by systems like Vertex Pipelines to indicate that the
+    // underlying data item represented by this Artifact is being created.
+    PENDING = 1;
+
+    // A state indicating that the Artifact should exist, unless something
+    // external to the system deletes it.
+    LIVE = 2;
+  }
+
+  // Output only. The resource name of the Artifact.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // User provided display name of the Artifact.
+  // May be up to 128 Unicode characters.
+  string display_name = 2;
+
+  // The uniform resource identifier of the artifact file.
+  // May be empty if there is no actual artifact file.
+  string uri = 6;
+
+  // An eTag used to perform consistent read-modify-write updates. If not set, a
+  // blind "overwrite" update happens.
+  string etag = 9;
+
+  // The labels with user-defined metadata to organize your Artifacts.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // No more than 64 user labels can be associated with one Artifact (System
+  // labels are excluded).
+  map<string, string> labels = 10;
+
+  // Output only. Timestamp when this Artifact was created.
+  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Artifact was last updated.
+  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The state of this Artifact. This is a property of the Artifact, and does
+  // not imply or capture any ongoing process. This property is managed by
+  // clients (such as Vertex Pipelines), and the system does not prescribe
+  // or check the validity of state transitions.
+  State state = 13;
+}
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto
index 81ca43328a9..6ffe83a640b 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto
@@ -94,8 +94,7 @@ message BatchPredictionJob {
       // `errors_N.<extension>` files are created (N depends on total number
       // of failed predictions). These files contain the failed instances,
       // as per their schema, followed by an additional `error` field which as
-      // value has
-      // [`google.rpc.Status`](Status)
+      // value has [google.rpc.Status][google.rpc.Status]
       // containing only `code` and `message` fields.
       GcsDestination gcs_destination = 2;
 
@@ -115,7 +114,7 @@ message BatchPredictionJob {
       // prediction schemata. The `errors` table contains rows for which the
       // prediction has failed, it has instance columns, as per the
       // instance schema, followed by a single "errors" column, which as values
-      // has [`google.rpc.Status`](Status)
+      // has [google.rpc.Status][google.rpc.Status]
       // represented as a STRUCT, and containing only `code` and `message`.
       BigQueryDestination bigquery_destination = 3;
     }
@@ -140,6 +139,12 @@ message BatchPredictionJob {
       // format, into which the prediction output is written.
       string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
     }
+
+    // Output only. The name of the BigQuery table created, in
+    // `predictions_<timestamp>`
+    // format, into which the prediction output is written.
+    // Can be used by UI to generate the BigQuery output path, for example.
+    string bigquery_output_table = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Output only. Resource name of the BatchPredictionJob.
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/context.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/context.proto
new file mode 100644
index 00000000000..a50f0b1d6fc
--- /dev/null
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/context.proto
@@ -0,0 +1,75 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/value.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ContextProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
+option ruby_package = "Google::Cloud::AIPlatform::V1";
+
+// Instance of a general context.
+message Context {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Context"
+    pattern: "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}"
+  };
+
+  // Output only. The resource name of the Context.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // User provided display name of the Context.
+  // May be up to 128 Unicode characters.
+  string display_name = 2;
+
+  // An eTag used to perform consistent read-modify-write updates. If not set, a
+  // blind "overwrite" update happens.
+  string etag = 8;
+
+  // The labels with user-defined metadata to organize your Contexts.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // No more than 64 user labels can be associated with one Context (System
+  // labels are excluded).
+  map<string, string> labels = 9;
+
+  // Output only. Timestamp when this Context was created.
+  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Context was last updated.
+  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. A list of resource names of Contexts that are parents of this Context.
+  // A Context may have at most 10 parent_contexts.
+  repeated string parent_contexts = 12 [
+    (google.api.field_behavior) = OUTPUT_ONLY,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Context"
+    }
+  ];
+}
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/custom_job.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/custom_job.proto
index 7d5c861c93b..bacf4e64260 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/custom_job.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/custom_job.proto
@@ -120,7 +120,9 @@ message CustomJobSpec {
   //
   // Private services access must already be configured for the network. If left
   // unspecified, the job is not peered with any network.
-  string network = 5;
+  string network = 5 [(google.api.resource_reference) = {
+                        type: "compute.googleapis.com/Network"
+                      }];
 
   // The Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/execution.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/execution.proto
new file mode 100644
index 00000000000..7e9ee5f11ec
--- /dev/null
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/execution.proto
@@ -0,0 +1,96 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/value.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ExecutionProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
+option ruby_package = "Google::Cloud::AIPlatform::V1";
+
+// Instance of a general execution.
+message Execution {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Execution"
+    pattern: "projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}"
+  };
+
+  // Describes the state of the Execution.
+  enum State {
+    // Unspecified Execution state
+    STATE_UNSPECIFIED = 0;
+
+    // The Execution is new
+    NEW = 1;
+
+    // The Execution is running
+    RUNNING = 2;
+
+    // The Execution has finished running
+    COMPLETE = 3;
+
+    // The Execution has failed
+    FAILED = 4;
+
+    // The Execution completed through Cache hit.
+    CACHED = 5;
+
+    // The Execution was cancelled.
+    CANCELLED = 6;
+  }
+
+  // Output only. The resource name of the Execution.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // User provided display name of the Execution.
+  // May be up to 128 Unicode characters.
+  string display_name = 2;
+
+  // The state of this Execution. This is a property of the Execution, and does
+  // not imply or capture any ongoing process. This property is managed by
+  // clients (such as Vertex Pipelines) and the system does not prescribe
+  // or check the validity of state transitions.
+  State state = 6;
+
+  // An eTag used to perform consistent read-modify-write updates. If not set, a
+  // blind "overwrite" update happens.
+  string etag = 9;
+
+  // The labels with user-defined metadata to organize your Executions.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // No more than 64 user labels can be associated with one Execution (System
+  // labels are excluded).
+  map<string, string> labels = 10;
+
+  // Output only. Timestamp when this Execution was created.
+  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Execution was last updated.
+  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/io.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/io.proto
index f6945c203a7..8a293aa8fd6 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/io.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/io.proto
@@ -63,7 +63,8 @@ message BigQueryDestination {
   // Accepted forms:
   //
   // *  BigQuery path. For example:
-  // `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+  // `bq://projectId` or `bq://projectId.bqDatasetId` or
+  // `bq://projectId.bqDatasetId.bqTableId`.
   string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/job_state.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/job_state.proto
index 676063d1b2a..bc8a6139d0b 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/job_state.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/job_state.proto
@@ -55,4 +55,7 @@ enum JobState {
 
   // The job has been stopped, and can be resumed.
   JOB_STATE_PAUSED = 8;
+
+  // The job has expired.
+  JOB_STATE_EXPIRED = 9;
 }
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/machine_resources.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/machine_resources.proto
index b533bc762bd..6d03d2cf4f9 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/machine_resources.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/machine_resources.proto
@@ -61,12 +61,11 @@ message DedicatedResources {
   ];
 
   // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-  // deployed on. If traffic against it increases, it may dynamically be
+  // deployed on. This value must be greater than or equal to 1.
+  //
+  // If traffic against the DeployedModel increases, it may dynamically be
   // deployed onto more replicas, and as traffic decreases, some of these extra
   // replicas may be freed.
-  // Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-  // above 0, currently the model will be always deployed precisely on
-  // [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
   int32 min_replica_count = 2 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
@@ -81,6 +80,28 @@ message DedicatedResources {
   // If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
   // default value.
   int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. The metric specifications that overrides a resource
+  // utilization metric (CPU utilization, accelerator's duty cycle, and so on)
+  // target value (default to 60 if not set). At most one entry is allowed per
+  // metric.
+  //
+  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+  // above 0, the autoscaling will be based on both CPU utilization and
+  // accelerator's duty cycle metrics and scale up when either metrics exceeds
+  // its target value while scale down if both metrics are under their target
+  // value. The default target value is 60 for both metrics.
+  //
+  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+  // 0, the autoscaling will be based on CPU utilization metric only with
+  // default target value 60 if not explicitly set.
+  //
+  // For example, in the case of Online Prediction, if you want to override
+  // target CPU utilization to 80, you should set
+  // [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
+  // to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
+  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4 [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A description of resources that to large degree are decided by Vertex AI,
@@ -143,3 +164,22 @@ message DiskSpec {
   // Size in GB of the boot disk (default is 100GB).
   int32 boot_disk_size_gb = 2;
 }
+
+// The metric specification that defines the target resource utilization
+// (CPU utilization, accelerator's duty cycle, and so on) for calculating the
+// desired replica count.
+message AutoscalingMetricSpec {
+  // Required. The resource metric name.
+  // Supported metrics:
+  //
+  // * For Online Prediction:
+  // * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
+  // * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
+  string metric_name = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // The target resource utilization in percentage (1% - 100%) for the given
+  // metric; once the real usage deviates from the target by a certain
+  // percentage, the machine replicas change. The default value is 60
+  // (representing 60%) if not provided.
+  int32 target = 2;
+}
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_job.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_job.proto
new file mode 100644
index 00000000000..725903055a9
--- /dev/null
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_job.proto
@@ -0,0 +1,289 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/artifact.proto";
+import "google/cloud/aiplatform/v1/context.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/execution.proto";
+import "google/cloud/aiplatform/v1/pipeline_state.proto";
+import "google/cloud/aiplatform/v1/value.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "Pipeline";
+option java_package = "com.google.cloud.aiplatform.v1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
+option ruby_package = "Google::Cloud::AIPlatform::V1";
+option (google.api.resource_definition) = {
+  type: "compute.googleapis.com/Network"
+  pattern: "projects/{project}/global/networks/{network}"
+};
+
+// An instance of a machine learning PipelineJob.
+message PipelineJob {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/PipelineJob"
+    pattern: "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}"
+  };
+
+  // The runtime config of a PipelineJob.
+  message RuntimeConfig {
+    // The runtime parameters of the PipelineJob. The parameters will be
+    // passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
+    // at runtime.
+    map<string, google.cloud.aiplatform.v1.Value> parameters = 1;
+
+    // Required. A path in a Cloud Storage bucket, which will be treated as the root
+    // output directory of the pipeline. It is used by the system to
+    // generate the paths of output artifacts. The artifact paths are generated
+    // with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
+    // specified output directory. The service account specified in this
+    // pipeline must have the `storage.objects.get` and `storage.objects.create`
+    // permissions for this bucket.
+    string gcs_output_directory = 2 [(google.api.field_behavior) = REQUIRED];
+  }
+
+  // Output only. The resource name of the PipelineJob.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The display name of the Pipeline.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2;
+
+  // Output only. Pipeline creation time.
+  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Pipeline start time.
+  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Pipeline end time.
+  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this PipelineJob was most recently updated.
+  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The spec of the pipeline.
+  google.protobuf.Struct pipeline_spec = 7 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. The detailed state of the job.
+  PipelineState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The details of pipeline run. Not available in the list view.
+  PipelineJobDetail job_detail = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The error that occurred during pipeline execution.
+  // Only populated when the pipeline's state is FAILED or CANCELLED.
+  google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The labels with user-defined metadata to organize PipelineJob.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 11;
+
+  // Runtime config of the pipeline.
+  RuntimeConfig runtime_config = 12;
+
+  // Customer-managed encryption key spec for a pipelineJob. If set, this
+  // PipelineJob and all of its sub-resources will be secured by this key.
+  EncryptionSpec encryption_spec = 16;
+
+  // The service account that the pipeline workload runs as.
+  // If not specified, the Compute Engine default service account in the project
+  // will be used.
+  // See
+  // https://cloud.google.com/compute/docs/access/service-accounts#default_service_account
+  //
+  // Users starting the pipeline must have the `iam.serviceAccounts.actAs`
+  // permission on this service account.
+  string service_account = 17;
+
+  // The full name of the Compute Engine
+  // [network](/compute/docs/networks-and-firewalls#networks) to which the
+  // Pipeline Job's workload should be peered. For example,
+  // `projects/12345/global/networks/myVPC`.
+  // [Format](/compute/docs/reference/rest/v1/networks/insert)
+  // is of the form `projects/{project}/global/networks/{network}`.
+  // Where {project} is a project number, as in `12345`, and {network} is a
+  // network name.
+  //
+  // Private services access must already be configured for the network.
+  // Pipeline job will apply the network configuration to the GCP resources
+  // being launched, if applied, such as Vertex AI
+  // Training or Dataflow job. If left unspecified, the workload is not peered
+  // with any network.
+  string network = 18 [(google.api.resource_reference) = {
+                         type: "compute.googleapis.com/Network"
+                       }];
+}
+
+// The runtime detail of PipelineJob.
+message PipelineJobDetail {
+  // Output only. The context of the pipeline.
+  google.cloud.aiplatform.v1.Context pipeline_context = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The context of the current pipeline run.
+  google.cloud.aiplatform.v1.Context pipeline_run_context = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The runtime details of the tasks under the pipeline.
+  repeated PipelineTaskDetail task_details = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// The runtime detail of a task execution.
+message PipelineTaskDetail {
+  // A list of artifact metadata.
+  message ArtifactList {
+    // Output only. A list of artifact metadata.
+    repeated google.cloud.aiplatform.v1.Artifact artifacts = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // Specifies state of TaskExecution
+  enum State {
+    // Unspecified.
+    STATE_UNSPECIFIED = 0;
+
+    // Specifies pending state for the task.
+    PENDING = 1;
+
+    // Specifies task is being executed.
+    RUNNING = 2;
+
+    // Specifies task completed successfully.
+    SUCCEEDED = 3;
+
+    // Specifies Task cancel is in pending state.
+    CANCEL_PENDING = 4;
+
+    // Specifies task is being cancelled.
+    CANCELLING = 5;
+
+    // Specifies task was cancelled.
+    CANCELLED = 6;
+
+    // Specifies task failed.
+    FAILED = 7;
+
+    // Specifies task was skipped due to cache hit.
+    SKIPPED = 8;
+
+    // Specifies that the task was not triggered because the task's trigger
+    // policy is not satisfied. The trigger policy is specified in the
+    // `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
+    NOT_TRIGGERED = 9;
+  }
+
+  // Output only. The system generated ID of the task.
+  int64 task_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The id of the parent task if the task is within a component scope.
+  // Empty if the task is at the root level.
+  int64 parent_task_id = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The user specified name of the task that is defined in
+  // [PipelineJob.spec][].
+  string task_name = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Task create time.
+  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Task start time.
+  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Task end time.
+  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The detailed execution info.
+  PipelineTaskExecutorDetail executor_detail = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. State of the task.
+  State state = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The execution metadata of the task.
+  google.cloud.aiplatform.v1.Execution execution = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The error that occurred during task execution.
+  // Only populated when the task's state is FAILED or CANCELLED.
+  google.rpc.Status error = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The runtime input artifacts of the task.
+  map<string, ArtifactList> inputs = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The runtime output artifacts of the task.
+  map<string, ArtifactList> outputs = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// The runtime detail of a pipeline executor.
+message PipelineTaskExecutorDetail {
+  // The detail of a container execution. It contains the job names of the
+  // lifecycle of a container execution.
+  message ContainerDetail {
+    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+    string main_job = 1 [
+      (google.api.field_behavior) = OUTPUT_ONLY,
+      (google.api.resource_reference) = {
+        type: "aiplatform.googleapis.com/CustomJob"
+      }
+    ];
+
+    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
+    // execution. This job will be available if the
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
+    // the lifecycle events.
+    string pre_caching_check_job = 2 [
+      (google.api.field_behavior) = OUTPUT_ONLY,
+      (google.api.resource_reference) = {
+        type: "aiplatform.googleapis.com/CustomJob"
+      }
+    ];
+  }
+
+  // The detailed info for a custom job executor.
+  message CustomJobDetail {
+    option deprecated = true;
+
+    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+    string job = 1 [
+      (google.api.field_behavior) = OUTPUT_ONLY,
+      (google.api.resource_reference) = {
+        type: "aiplatform.googleapis.com/CustomJob"
+      }
+    ];
+  }
+
+  oneof details {
+    // Output only. The detailed info for a container executor.
+    ContainerDetail container_detail = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. The detailed info for a custom job executor.
+    CustomJobDetail custom_job_detail = 2 [
+      deprecated = true,
+      (google.api.field_behavior) = OUTPUT_ONLY
+    ];
+  }
+}
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_service.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_service.proto
index 3940f2871cc..59f41125396 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_service.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/pipeline_service.proto
@@ -20,6 +20,7 @@ import "google/api/annotations.proto";
 import "google/api/client.proto";
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/pipeline_job.proto";
 import "google/cloud/aiplatform/v1/training_pipeline.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/empty.proto";
@@ -95,6 +96,61 @@ service PipelineService {
     };
     option (google.api.method_signature) = "name";
   }
+
+  // Creates a PipelineJob. A PipelineJob will run immediately when created.
+  rpc CreatePipelineJob(CreatePipelineJobRequest) returns (google.cloud.aiplatform.v1.PipelineJob) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/pipelineJobs"
+      body: "pipeline_job"
+    };
+    option (google.api.method_signature) = "parent,pipeline_job,pipeline_job_id";
+  }
+
+  // Gets a PipelineJob.
+  rpc GetPipelineJob(GetPipelineJobRequest) returns (google.cloud.aiplatform.v1.PipelineJob) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/pipelineJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists PipelineJobs in a Location.
+  rpc ListPipelineJobs(ListPipelineJobsRequest) returns (ListPipelineJobsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/pipelineJobs"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a PipelineJob.
+  rpc DeletePipelineJob(DeletePipelineJobRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/pipelineJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Cancels a PipelineJob.
+  // Starts asynchronous cancellation on the PipelineJob. The server
+  // makes a best effort to cancel the pipeline, but success is not
+  // guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or
+  // other methods to check whether the cancellation succeeded or whether the
+  // pipeline completed despite cancellation. On successful cancellation,
+  // the PipelineJob is not deleted; instead it becomes a pipeline with
+  // a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
+  // `CANCELLED`.
+  rpc CancelPipelineJob(CancelPipelineJobRequest) returns (google.protobuf.Empty) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/pipelineJobs/*}:cancel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name";
+  }
 }
 
 // Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
@@ -136,22 +192,32 @@ message ListTrainingPipelinesRequest {
     }
   ];
 
-  // The standard list filter.
-  // Supported fields:
-  //
-  //   * `display_name` supports = and !=.
+  // Lists the PipelineJobs that match the filter expression. The following
+  // fields are supported:
   //
-  //   * `state` supports = and !=.
+  // * `pipeline_name`: Supports `=` and `!=` comparisons.
+  // * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+  //   Values must be in RFC 3339 format.
+  // * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+  //   Values must be in RFC 3339 format.
+  // * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+  //   Values must be in RFC 3339 format.
+  // * `labels`: Supports key-value equality and key presence.
   //
-  // Some examples of using the filter are:
+  // Filter expressions can be combined together using logical operators
+  // (`AND` & `OR`).
+  // For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
   //
-  //  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+  // The syntax to define filter expression is based on
+  // https://google.aip.dev/160.
   //
-  //  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+  // Examples:
   //
-  //  * `NOT display_name="my_pipeline"`
-  //
-  //  * `state="PIPELINE_STATE_FAILED"`
+  // * `create_time>"2021-05-18T00:00:00Z" OR
+  //   update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
+  //   after 2020-05-18 00:00:00 UTC.
+  // * `labels.env = "prod"`
+  //   PipelineJobs with label "env" set to "prod".
   string filter = 2;
 
   // The standard list page size.
@@ -202,3 +268,110 @@ message CancelTrainingPipelineRequest {
     }
   ];
 }
+
+// Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
+message CreatePipelineJobRequest {
+  // Required. The resource name of the Location to create the PipelineJob in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The PipelineJob to create.
+  google.cloud.aiplatform.v1.PipelineJob pipeline_job = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // The ID to use for the PipelineJob, which will become the final component of
+  // the PipelineJob name. If not provided, an ID will be automatically
+  // generated.
+  //
+  // This value should be less than 128 characters, and valid characters
+  // are /[a-z][0-9]-/.
+  string pipeline_job_id = 3;
+}
+
+// Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
+message GetPipelineJobRequest {
+  // Required. The name of the PipelineJob resource.
+  // Format:
+  // `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/PipelineJob"
+    }
+  ];
+}
+
+// Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
+message ListPipelineJobsRequest {
+  // Required. The resource name of the Location to list the PipelineJobs from.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list filter.
+  // Supported fields:
+  //
+  // * `display_name` supports `=` and `!=`.
+  // * `state` supports `=` and `!=`.
+  //
+  // The following examples demonstrate how to filter the list of PipelineJobs:
+  //
+  // * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+  // * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+  // * `NOT display_name="my_pipeline"`
+  // * `state="PIPELINE_STATE_FAILED"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
+  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+  string page_token = 4;
+}
+
+// Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+message ListPipelineJobsResponse {
+  // List of PipelineJobs in the requested page.
+  repeated google.cloud.aiplatform.v1.PipelineJob pipeline_jobs = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
+// Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
+message DeletePipelineJobRequest {
+  // Required. The name of the PipelineJob resource to be deleted.
+  // Format:
+  // `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/PipelineJob"
+    }
+  ];
+}
+
+// Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
+message CancelPipelineJobRequest {
+  // Required. The name of the PipelineJob to cancel.
+  // Format:
+  // `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/PipelineJob"
+    }
+  ];
+}
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/prediction_service.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/prediction_service.proto
index 738a1ab355e..b6206b869aa 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/prediction_service.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/prediction_service.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1;
 import "google/api/annotations.proto";
 import "google/api/client.proto";
 import "google/api/field_behavior.proto";
+import "google/api/httpbody.proto";
 import "google/api/resource.proto";
 import "google/protobuf/struct.proto";
 
@@ -40,8 +41,12 @@ service PredictionService {
     option (google.api.http) = {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predict"
       body: "*"
+      additional_bindings {
+        post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predictInternal"
+        body: "*"
+      }
     };
-    option (google.api.method_signature) = "endpoint,instances,parameters";
+    option (google.api.method_signature) = "endpoint,parameters,instances";
   }
 }
 
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
index 6d4dbe6a844..75222795023 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
@@ -28,7 +28,7 @@ option ruby_package = "Google::Cloud::AIPlatform::V1::Schema::Predict::Instance"
 
 // Prediction input format for Image Classification.
 message ImageClassificationPredictionInstance {
-  // The image bytes or GCS URI to make the prediction on.
+  // The image bytes or Cloud Storage URI to make the prediction on.
   string content = 1;
 
   // The MIME type of the content of the image. Only the images in below listed
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
index 8eafa48c3d2..5e53173366e 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
@@ -28,7 +28,7 @@ option ruby_package = "Google::Cloud::AIPlatform::V1::Schema::Predict::Instance"
 
 // Prediction input format for Image Object Detection.
 message ImageObjectDetectionPredictionInstance {
-  // The image bytes or GCS URI to make the prediction on.
+  // The image bytes or Cloud Storage URI to make the prediction on.
   string content = 1;
 
   // The MIME type of the content of the image. Only the images in below listed
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
index 96838b085ee..b4682c03595 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
index 36a431da24d..697ee1197b3 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
@@ -38,7 +38,7 @@ message TextExtractionPredictionInstance {
 
   // This field is only used for batch prediction. If a key is provided, the
   // batch prediction result will by mapped to this key. If omitted, then the
-  // batch prediction result will contain the entire input instance. AI Platform
+  // batch prediction result will contain the entire input instance. Vertex AI
   // will not check if keys in the request are duplicates, so it is up to the
   // caller to ensure the keys are unique.
   string key = 3;
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
index eb196d70be9..50e06ee8d24 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
index b4aa6488005..ec062072f49 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
@@ -37,15 +37,15 @@ message VideoClassificationPredictionParams {
   // fewer predictions. Default value is 10,000.
   int32 max_predictions = 2;
 
-  // Set to true to request segment-level classification. AI Platform returns
+  // Set to true to request segment-level classification. Vertex AI returns
   // labels and their confidence scores for the entire time segment of the
   // video that user specified in the input instance.
   // Default value is true
   bool segment_classification = 3;
 
-  // Set to true to request shot-level classification. AI Platform determines
+  // Set to true to request shot-level classification. Vertex AI determines
   // the boundaries for each camera shot in the entire time segment of the
-  // video that user specified in the input instance. AI Platform then
+  // video that user specified in the input instance. Vertex AI then
   // returns labels and their confidence scores for each detected shot, along
   // with the start and end time of the shot.
   // WARNING: Model evaluation is not done for this classification type,
@@ -55,7 +55,7 @@ message VideoClassificationPredictionParams {
   bool shot_classification = 4;
 
   // Set to true to request classification for a video at one-second intervals.
-  // AI Platform returns labels and their confidence scores for each second of
+  // Vertex AI returns labels and their confidence scores for each second of
   // the entire time segment of the video that user specified in the input
   // WARNING: Model evaluation is not done for this classification type, the
   // quality of it depends on the training data, but there are no metrics
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
index 60c7280c75b..b8e396ab6c6 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
@@ -28,8 +28,7 @@ option ruby_package = "Google::Cloud::AIPlatform::V1::Schema::Predict::Predictio
 
 // Prediction output format for Image and Text Classification.
 message ClassificationPredictionResult {
-  // The resource IDs of the AnnotationSpecs that had been identified, ordered
-  // by the confidence score descendingly.
+  // The resource IDs of the AnnotationSpecs that had been identified.
   repeated int64 ids = 1;
 
   // The display names of the AnnotationSpecs that had been identified, order
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
index ada129d9c7b..f245f1e1372 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
index c1911f0ad71..00af43c1c4d 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
index 10ce3878774..0c4ee2d6e07 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
@@ -16,6 +16,7 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1.schema.trainingjob.definition;
 
+import "google/api/field_behavior.proto";
 import "google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto";
 import "google/api/annotations.proto";
 
@@ -270,6 +271,9 @@ message AutoMlTablesInputs {
   // Configuration for exporting test set predictions to a BigQuery table. If
   // this configuration is absent, then the export is not performed.
   ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+
+  // Additional experiment flags for the Tables training pipeline.
+  repeated string additional_experiments = 11;
 }
 
 // Model metadata specific to AutoML Tables.
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
index e303d2c80cf..86f723b7dab 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
@@ -46,6 +46,16 @@ message AutoMlVideoActionRecognitionInputs {
     // also be exported (see ModelService.ExportModel) as a TensorFlow or
     // TensorFlow Lite model and used on a mobile or edge device afterwards.
     MOBILE_VERSATILE_1 = 2;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) to a Jetson device
+    // afterwards.
+    MOBILE_JETSON_VERSATILE_1 = 3;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) as a TensorFlow or
+    // TensorFlow Lite model and used on a Coral device afterwards.
+    MOBILE_CORAL_VERSATILE_1 = 4;
   }
 
   ModelType model_type = 1;
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
index 466eba665e5..ac0d3235658 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
@@ -33,7 +33,6 @@ message ExportEvaluatedDataItemsConfig {
   //
   // If not specified, then results are exported to the following auto-created
   // BigQuery table:
-  //
   // <project_id>:export_evaluated_examples_<model_name>_<yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
   string destination_bigquery_uri = 1;
 
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/study.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/study.proto
index 65a19110f81..c05c49e5b8b 100644
--- a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/study.proto
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/study.proto
@@ -21,7 +21,6 @@ import "google/api/resource.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
-import "google/protobuf/wrappers.proto";
 import "google/api/annotations.proto";
 
 option csharp_namespace = "Google.Cloud.AIPlatform.V1";
@@ -79,6 +78,9 @@ message Trial {
     INFEASIBLE = 5;
   }
 
+  // Output only. Resource name of the Trial assigned by the service.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Output only. The identifier of the Trial assigned by the service.
   string id = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -91,12 +93,31 @@ message Trial {
   // Output only. The final measurement containing the objective value.
   Measurement final_measurement = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
+  // Output only. A list of measurements that are strictly lexicographically
+  // ordered by their induced tuples (steps, elapsed_duration).
+  // These are used for early stopping computations.
+  repeated Measurement measurements = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Output only. Time when the Trial was started.
   google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
   google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
+  // Output only. The identifier of the client that originally requested this Trial.
+  // Each client is identified by a unique client_id. When a client
+  // asks for a suggestion, Vizier will assign it a Trial. The client should
+  // evaluate the Trial, complete it, and report back to Vizier.
+  // If suggestion is asked again by same client_id before the Trial is
+  // completed, the same Trial will be returned. Multiple clients with
+  // different client_ids can ask for suggestions simultaneously, each of them
+  // will get their own Trial.
+  string client_id = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. A human readable string describing why the Trial is
+  // infeasible. This is set only if Trial state is `INFEASIBLE`.
+  string infeasible_reason = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Output only. The CustomJob name linked to the Trial.
   // It's set for a HyperparameterTuningJob's Trial.
   string custom_job = 11 [
@@ -140,6 +161,14 @@ message StudySpec {
 
       // Required. Inclusive maximum value of the parameter.
       double max_value = 2 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for a `DOUBLE` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional double default_value = 4;
     }
 
     // Value specification for a parameter in `INTEGER` type.
@@ -149,12 +178,28 @@ message StudySpec {
 
       // Required. Inclusive maximum value of the parameter.
       int64 max_value = 2 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for an `INTEGER` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional int64 default_value = 4;
     }
 
     // Value specification for a parameter in `CATEGORICAL` type.
     message CategoricalValueSpec {
       // Required. The list of possible categories.
       repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for a `CATEGORICAL` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional string default_value = 3;
     }
 
     // Value specification for a parameter in `DISCRETE` type.
@@ -164,6 +209,15 @@ message StudySpec {
       // For instance, this parameter might have possible settings of 1.5, 2.5,
       // and 4.0. This list should not contain more than 1,000 values.
       repeated double values = 1 [(google.api.field_behavior) = REQUIRED];
+
+      // A default value for a `DISCRETE` parameter that is assumed to be a
+      // relatively good starting point.  Unset value signals that there is no
+      // offered starting point.  It automatically rounds to the
+      // nearest feasible discrete point.
+      //
+      // Currently only supported by the Vizier service. Not supported by
+      // HyperparamterTuningJob or TrainingPipeline.
+      optional double default_value = 3;
     }
 
     // Represents a parameter spec with condition from its parent parameter.
@@ -350,6 +404,9 @@ message Measurement {
     double value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
+  // Output only. Time that the Trial has been running at the point of this Measurement.
+  google.protobuf.Duration elapsed_duration = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Output only. The number of steps the machine learning model has been trained for.
   // Must be non-negative.
   int64 step_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/value.proto b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/value.proto
new file mode 100644
index 00000000000..48607bf9591
--- /dev/null
+++ b/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/value.proto
@@ -0,0 +1,41 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ValueProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
+option ruby_package = "Google::Cloud::AIPlatform::V1";
+
+// Value is the value of the field.
+message Value {
+  oneof value {
+    // An integer value.
+    int64 int_value = 1;
+
+    // A double value.
+    double double_value = 2;
+
+    // A string value.
+    string string_value = 3;
+  }
+}
diff --git a/packages/google-cloud-aiplatform/protos/protos.d.ts b/packages/google-cloud-aiplatform/protos/protos.d.ts
index 027fa6639d8..3c4b195700c 100644
--- a/packages/google-cloud-aiplatform/protos/protos.d.ts
+++ b/packages/google-cloud-aiplatform/protos/protos.d.ts
@@ -34,8 +34,7 @@ export namespace google {
                     NVIDIA_TESLA_V100 = 3,
                     NVIDIA_TESLA_P4 = 4,
                     NVIDIA_TESLA_T4 = 5,
-                    TPU_V2 = 6,
-                    TPU_V3 = 7
+                    NVIDIA_TESLA_A100 = 8
                 }
 
                 /** Properties of an Annotation. */
@@ -389,6 +388,253 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of an Artifact. */
+                interface IArtifact {
+
+                    /** Artifact name */
+                    name?: (string|null);
+
+                    /** Artifact displayName */
+                    displayName?: (string|null);
+
+                    /** Artifact uri */
+                    uri?: (string|null);
+
+                    /** Artifact etag */
+                    etag?: (string|null);
+
+                    /** Artifact labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Artifact createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Artifact updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Artifact state */
+                    state?: (google.cloud.aiplatform.v1.Artifact.State|keyof typeof google.cloud.aiplatform.v1.Artifact.State|null);
+                }
+
+                /** Represents an Artifact. */
+                class Artifact implements IArtifact {
+
+                    /**
+                     * Constructs a new Artifact.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IArtifact);
+
+                    /** Artifact name. */
+                    public name: string;
+
+                    /** Artifact displayName. */
+                    public displayName: string;
+
+                    /** Artifact uri. */
+                    public uri: string;
+
+                    /** Artifact etag. */
+                    public etag: string;
+
+                    /** Artifact labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Artifact createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Artifact updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Artifact state. */
+                    public state: (google.cloud.aiplatform.v1.Artifact.State|keyof typeof google.cloud.aiplatform.v1.Artifact.State);
+
+                    /**
+                     * Creates a new Artifact instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns Artifact instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IArtifact): google.cloud.aiplatform.v1.Artifact;
+
+                    /**
+                     * Encodes the specified Artifact message. Does not implicitly {@link google.cloud.aiplatform.v1.Artifact.verify|verify} messages.
+                     * @param message Artifact message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IArtifact, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified Artifact message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Artifact.verify|verify} messages.
+                     * @param message Artifact message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IArtifact, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes an Artifact message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns Artifact
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.Artifact;
+
+                    /**
+                     * Decodes an Artifact message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns Artifact
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.Artifact;
+
+                    /**
+                     * Verifies an Artifact message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates an Artifact message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns Artifact
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.Artifact;
+
+                    /**
+                     * Creates a plain object from an Artifact message. Also converts values to other types if specified.
+                     * @param message Artifact
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.Artifact, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this Artifact to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace Artifact {
+
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        PENDING = 1,
+                        LIVE = 2
+                    }
+                }
+
+                /** Properties of a Value. */
+                interface IValue {
+
+                    /** Value intValue */
+                    intValue?: (number|Long|string|null);
+
+                    /** Value doubleValue */
+                    doubleValue?: (number|null);
+
+                    /** Value stringValue */
+                    stringValue?: (string|null);
+                }
+
+                /** Represents a Value. */
+                class Value implements IValue {
+
+                    /**
+                     * Constructs a new Value.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IValue);
+
+                    /** Value intValue. */
+                    public intValue?: (number|Long|string|null);
+
+                    /** Value doubleValue. */
+                    public doubleValue?: (number|null);
+
+                    /** Value stringValue. */
+                    public stringValue?: (string|null);
+
+                    /** Value value. */
+                    public value?: ("intValue"|"doubleValue"|"stringValue");
+
+                    /**
+                     * Creates a new Value instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns Value instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IValue): google.cloud.aiplatform.v1.Value;
+
+                    /**
+                     * Encodes the specified Value message. Does not implicitly {@link google.cloud.aiplatform.v1.Value.verify|verify} messages.
+                     * @param message Value message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IValue, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified Value message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Value.verify|verify} messages.
+                     * @param message Value message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IValue, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a Value message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns Value
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.Value;
+
+                    /**
+                     * Decodes a Value message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns Value
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.Value;
+
+                    /**
+                     * Verifies a Value message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a Value message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns Value
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.Value;
+
+                    /**
+                     * Creates a plain object from a Value message. Also converts values to other types if specified.
+                     * @param message Value
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.Value, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this Value to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a BatchPredictionJob. */
                 interface IBatchPredictionJob {
 
@@ -813,6 +1059,9 @@ export namespace google {
 
                         /** OutputInfo bigqueryOutputDataset */
                         bigqueryOutputDataset?: (string|null);
+
+                        /** OutputInfo bigqueryOutputTable */
+                        bigqueryOutputTable?: (string|null);
                     }
 
                     /** Represents an OutputInfo. */
@@ -830,6 +1079,9 @@ export namespace google {
                         /** OutputInfo bigqueryOutputDataset. */
                         public bigqueryOutputDataset?: (string|null);
 
+                        /** OutputInfo bigqueryOutputTable. */
+                        public bigqueryOutputTable: string;
+
                         /** OutputInfo outputLocation. */
                         public outputLocation?: ("gcsOutputDirectory"|"bigqueryOutputDataset");
 
@@ -1557,7 +1809,8 @@ export namespace google {
                     JOB_STATE_FAILED = 5,
                     JOB_STATE_CANCELLING = 6,
                     JOB_STATE_CANCELLED = 7,
-                    JOB_STATE_PAUSED = 8
+                    JOB_STATE_PAUSED = 8,
+                    JOB_STATE_EXPIRED = 9
                 }
 
                 /** Properties of a MachineSpec. */
@@ -1673,6 +1926,9 @@ export namespace google {
 
                     /** DedicatedResources maxReplicaCount */
                     maxReplicaCount?: (number|null);
+
+                    /** DedicatedResources autoscalingMetricSpecs */
+                    autoscalingMetricSpecs?: (google.cloud.aiplatform.v1.IAutoscalingMetricSpec[]|null);
                 }
 
                 /** Represents a DedicatedResources. */
@@ -1693,6 +1949,9 @@ export namespace google {
                     /** DedicatedResources maxReplicaCount. */
                     public maxReplicaCount: number;
 
+                    /** DedicatedResources autoscalingMetricSpecs. */
+                    public autoscalingMetricSpecs: google.cloud.aiplatform.v1.IAutoscalingMetricSpec[];
+
                     /**
                      * Creates a new DedicatedResources instance using the specified properties.
                      * @param [properties] Properties to set
@@ -2148,6 +2407,102 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of an AutoscalingMetricSpec. */
+                interface IAutoscalingMetricSpec {
+
+                    /** AutoscalingMetricSpec metricName */
+                    metricName?: (string|null);
+
+                    /** AutoscalingMetricSpec target */
+                    target?: (number|null);
+                }
+
+                /** Represents an AutoscalingMetricSpec. */
+                class AutoscalingMetricSpec implements IAutoscalingMetricSpec {
+
+                    /**
+                     * Constructs a new AutoscalingMetricSpec.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IAutoscalingMetricSpec);
+
+                    /** AutoscalingMetricSpec metricName. */
+                    public metricName: string;
+
+                    /** AutoscalingMetricSpec target. */
+                    public target: number;
+
+                    /**
+                     * Creates a new AutoscalingMetricSpec instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns AutoscalingMetricSpec instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IAutoscalingMetricSpec): google.cloud.aiplatform.v1.AutoscalingMetricSpec;
+
+                    /**
+                     * Encodes the specified AutoscalingMetricSpec message. Does not implicitly {@link google.cloud.aiplatform.v1.AutoscalingMetricSpec.verify|verify} messages.
+                     * @param message AutoscalingMetricSpec message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IAutoscalingMetricSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified AutoscalingMetricSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.AutoscalingMetricSpec.verify|verify} messages.
+                     * @param message AutoscalingMetricSpec message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IAutoscalingMetricSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes an AutoscalingMetricSpec message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns AutoscalingMetricSpec
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.AutoscalingMetricSpec;
+
+                    /**
+                     * Decodes an AutoscalingMetricSpec message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns AutoscalingMetricSpec
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.AutoscalingMetricSpec;
+
+                    /**
+                     * Verifies an AutoscalingMetricSpec message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates an AutoscalingMetricSpec message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns AutoscalingMetricSpec
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.AutoscalingMetricSpec;
+
+                    /**
+                     * Creates a plain object from an AutoscalingMetricSpec message. Also converts values to other types if specified.
+                     * @param message AutoscalingMetricSpec
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.AutoscalingMetricSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this AutoscalingMetricSpec to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a ManualBatchTuningParameters. */
                 interface IManualBatchTuningParameters {
 
@@ -2238,6 +2593,132 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a Context. */
+                interface IContext {
+
+                    /** Context name */
+                    name?: (string|null);
+
+                    /** Context displayName */
+                    displayName?: (string|null);
+
+                    /** Context etag */
+                    etag?: (string|null);
+
+                    /** Context labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Context createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Context updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Context parentContexts */
+                    parentContexts?: (string[]|null);
+                }
+
+                /** Represents a Context. */
+                class Context implements IContext {
+
+                    /**
+                     * Constructs a new Context.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IContext);
+
+                    /** Context name. */
+                    public name: string;
+
+                    /** Context displayName. */
+                    public displayName: string;
+
+                    /** Context etag. */
+                    public etag: string;
+
+                    /** Context labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Context createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Context updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Context parentContexts. */
+                    public parentContexts: string[];
+
+                    /**
+                     * Creates a new Context instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns Context instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IContext): google.cloud.aiplatform.v1.Context;
+
+                    /**
+                     * Encodes the specified Context message. Does not implicitly {@link google.cloud.aiplatform.v1.Context.verify|verify} messages.
+                     * @param message Context message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IContext, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified Context message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Context.verify|verify} messages.
+                     * @param message Context message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IContext, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a Context message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns Context
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.Context;
+
+                    /**
+                     * Decodes a Context message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns Context
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.Context;
+
+                    /**
+                     * Verifies a Context message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a Context message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns Context
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.Context;
+
+                    /**
+                     * Creates a plain object from a Context message. Also converts values to other types if specified.
+                     * @param message Context
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.Context, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this Context to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a CustomJob. */
                 interface ICustomJob {
 
@@ -9462,6 +9943,146 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of an Execution. */
+                interface IExecution {
+
+                    /** Execution name */
+                    name?: (string|null);
+
+                    /** Execution displayName */
+                    displayName?: (string|null);
+
+                    /** Execution state */
+                    state?: (google.cloud.aiplatform.v1.Execution.State|keyof typeof google.cloud.aiplatform.v1.Execution.State|null);
+
+                    /** Execution etag */
+                    etag?: (string|null);
+
+                    /** Execution labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Execution createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Execution updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+                }
+
+                /** Represents an Execution. */
+                class Execution implements IExecution {
+
+                    /**
+                     * Constructs a new Execution.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IExecution);
+
+                    /** Execution name. */
+                    public name: string;
+
+                    /** Execution displayName. */
+                    public displayName: string;
+
+                    /** Execution state. */
+                    public state: (google.cloud.aiplatform.v1.Execution.State|keyof typeof google.cloud.aiplatform.v1.Execution.State);
+
+                    /** Execution etag. */
+                    public etag: string;
+
+                    /** Execution labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Execution createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Execution updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /**
+                     * Creates a new Execution instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns Execution instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IExecution): google.cloud.aiplatform.v1.Execution;
+
+                    /**
+                     * Encodes the specified Execution message. Does not implicitly {@link google.cloud.aiplatform.v1.Execution.verify|verify} messages.
+                     * @param message Execution message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IExecution, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified Execution message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Execution.verify|verify} messages.
+                     * @param message Execution message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IExecution, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes an Execution message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns Execution
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.Execution;
+
+                    /**
+                     * Decodes an Execution message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns Execution
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.Execution;
+
+                    /**
+                     * Verifies an Execution message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates an Execution message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns Execution
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.Execution;
+
+                    /**
+                     * Creates a plain object from an Execution message. Also converts values to other types if specified.
+                     * @param message Execution
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.Execution, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this Execution to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace Execution {
+
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        NEW = 1,
+                        RUNNING = 2,
+                        COMPLETE = 3,
+                        FAILED = 4,
+                        CACHED = 5,
+                        CANCELLED = 6
+                    }
+                }
+
                 /** Properties of a HyperparameterTuningJob. */
                 interface IHyperparameterTuningJob {
 
@@ -9645,6 +10266,9 @@ export namespace google {
                 /** Properties of a Trial. */
                 interface ITrial {
 
+                    /** Trial name */
+                    name?: (string|null);
+
                     /** Trial id */
                     id?: (string|null);
 
@@ -9657,12 +10281,21 @@ export namespace google {
                     /** Trial finalMeasurement */
                     finalMeasurement?: (google.cloud.aiplatform.v1.IMeasurement|null);
 
+                    /** Trial measurements */
+                    measurements?: (google.cloud.aiplatform.v1.IMeasurement[]|null);
+
                     /** Trial startTime */
                     startTime?: (google.protobuf.ITimestamp|null);
 
                     /** Trial endTime */
                     endTime?: (google.protobuf.ITimestamp|null);
 
+                    /** Trial clientId */
+                    clientId?: (string|null);
+
+                    /** Trial infeasibleReason */
+                    infeasibleReason?: (string|null);
+
                     /** Trial customJob */
                     customJob?: (string|null);
                 }
@@ -9676,6 +10309,9 @@ export namespace google {
                      */
                     constructor(properties?: google.cloud.aiplatform.v1.ITrial);
 
+                    /** Trial name. */
+                    public name: string;
+
                     /** Trial id. */
                     public id: string;
 
@@ -9688,12 +10324,21 @@ export namespace google {
                     /** Trial finalMeasurement. */
                     public finalMeasurement?: (google.cloud.aiplatform.v1.IMeasurement|null);
 
+                    /** Trial measurements. */
+                    public measurements: google.cloud.aiplatform.v1.IMeasurement[];
+
                     /** Trial startTime. */
                     public startTime?: (google.protobuf.ITimestamp|null);
 
                     /** Trial endTime. */
                     public endTime?: (google.protobuf.ITimestamp|null);
 
+                    /** Trial clientId. */
+                    public clientId: string;
+
+                    /** Trial infeasibleReason. */
+                    public infeasibleReason: string;
+
                     /** Trial customJob. */
                     public customJob: string;
 
@@ -10238,6 +10883,9 @@ export namespace google {
 
                             /** DoubleValueSpec maxValue */
                             maxValue?: (number|null);
+
+                            /** DoubleValueSpec defaultValue */
+                            defaultValue?: (number|null);
                         }
 
                         /** Represents a DoubleValueSpec. */
@@ -10255,6 +10903,12 @@ export namespace google {
                             /** DoubleValueSpec maxValue. */
                             public maxValue: number;
 
+                            /** DoubleValueSpec defaultValue. */
+                            public defaultValue?: (number|null);
+
+                            /** DoubleValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
                             /**
                              * Creates a new DoubleValueSpec instance using the specified properties.
                              * @param [properties] Properties to set
@@ -10334,6 +10988,9 @@ export namespace google {
 
                             /** IntegerValueSpec maxValue */
                             maxValue?: (number|Long|string|null);
+
+                            /** IntegerValueSpec defaultValue */
+                            defaultValue?: (number|Long|string|null);
                         }
 
                         /** Represents an IntegerValueSpec. */
@@ -10351,6 +11008,12 @@ export namespace google {
                             /** IntegerValueSpec maxValue. */
                             public maxValue: (number|Long|string);
 
+                            /** IntegerValueSpec defaultValue. */
+                            public defaultValue?: (number|Long|string|null);
+
+                            /** IntegerValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
                             /**
                              * Creates a new IntegerValueSpec instance using the specified properties.
                              * @param [properties] Properties to set
@@ -10427,6 +11090,9 @@ export namespace google {
 
                             /** CategoricalValueSpec values */
                             values?: (string[]|null);
+
+                            /** CategoricalValueSpec defaultValue */
+                            defaultValue?: (string|null);
                         }
 
                         /** Represents a CategoricalValueSpec. */
@@ -10441,6 +11107,12 @@ export namespace google {
                             /** CategoricalValueSpec values. */
                             public values: string[];
 
+                            /** CategoricalValueSpec defaultValue. */
+                            public defaultValue?: (string|null);
+
+                            /** CategoricalValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
                             /**
                              * Creates a new CategoricalValueSpec instance using the specified properties.
                              * @param [properties] Properties to set
@@ -10517,6 +11189,9 @@ export namespace google {
 
                             /** DiscreteValueSpec values */
                             values?: (number[]|null);
+
+                            /** DiscreteValueSpec defaultValue */
+                            defaultValue?: (number|null);
                         }
 
                         /** Represents a DiscreteValueSpec. */
@@ -10531,6 +11206,12 @@ export namespace google {
                             /** DiscreteValueSpec values. */
                             public values: number[];
 
+                            /** DiscreteValueSpec defaultValue. */
+                            public defaultValue?: (number|null);
+
+                            /** DiscreteValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
                             /**
                              * Creates a new DiscreteValueSpec instance using the specified properties.
                              * @param [properties] Properties to set
@@ -11020,6 +11701,9 @@ export namespace google {
                 /** Properties of a Measurement. */
                 interface IMeasurement {
 
+                    /** Measurement elapsedDuration */
+                    elapsedDuration?: (google.protobuf.IDuration|null);
+
                     /** Measurement stepCount */
                     stepCount?: (number|Long|string|null);
 
@@ -11036,6 +11720,9 @@ export namespace google {
                      */
                     constructor(properties?: google.cloud.aiplatform.v1.IMeasurement);
 
+                    /** Measurement elapsedDuration. */
+                    public elapsedDuration?: (google.protobuf.IDuration|null);
+
                     /** Measurement stepCount. */
                     public stepCount: (number|Long|string);
 
@@ -18364,706 +19051,2313 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Represents a PipelineService */
-                class PipelineService extends $protobuf.rpc.Service {
+                /** Properties of a PipelineJob. */
+                interface IPipelineJob {
+
+                    /** PipelineJob name */
+                    name?: (string|null);
+
+                    /** PipelineJob displayName */
+                    displayName?: (string|null);
+
+                    /** PipelineJob createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob pipelineSpec */
+                    pipelineSpec?: (google.protobuf.IStruct|null);
+
+                    /** PipelineJob state */
+                    state?: (google.cloud.aiplatform.v1.PipelineState|keyof typeof google.cloud.aiplatform.v1.PipelineState|null);
+
+                    /** PipelineJob jobDetail */
+                    jobDetail?: (google.cloud.aiplatform.v1.IPipelineJobDetail|null);
+
+                    /** PipelineJob error */
+                    error?: (google.rpc.IStatus|null);
+
+                    /** PipelineJob labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** PipelineJob runtimeConfig */
+                    runtimeConfig?: (google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig|null);
+
+                    /** PipelineJob encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1.IEncryptionSpec|null);
+
+                    /** PipelineJob serviceAccount */
+                    serviceAccount?: (string|null);
+
+                    /** PipelineJob network */
+                    network?: (string|null);
+                }
+
+                /** Represents a PipelineJob. */
+                class PipelineJob implements IPipelineJob {
 
                     /**
-                     * Constructs a new PipelineService service.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * Constructs a new PipelineJob.
+                     * @param [properties] Properties to set
                      */
-                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
+                    constructor(properties?: google.cloud.aiplatform.v1.IPipelineJob);
+
+                    /** PipelineJob name. */
+                    public name: string;
+
+                    /** PipelineJob displayName. */
+                    public displayName: string;
+
+                    /** PipelineJob createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineJob pipelineSpec. */
+                    public pipelineSpec?: (google.protobuf.IStruct|null);
+
+                    /** PipelineJob state. */
+                    public state: (google.cloud.aiplatform.v1.PipelineState|keyof typeof google.cloud.aiplatform.v1.PipelineState);
+
+                    /** PipelineJob jobDetail. */
+                    public jobDetail?: (google.cloud.aiplatform.v1.IPipelineJobDetail|null);
+
+                    /** PipelineJob error. */
+                    public error?: (google.rpc.IStatus|null);
+
+                    /** PipelineJob labels. */
+                    public labels: { [k: string]: string };
+
+                    /** PipelineJob runtimeConfig. */
+                    public runtimeConfig?: (google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig|null);
+
+                    /** PipelineJob encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1.IEncryptionSpec|null);
+
+                    /** PipelineJob serviceAccount. */
+                    public serviceAccount: string;
+
+                    /** PipelineJob network. */
+                    public network: string;
 
                     /**
-                     * Creates new PipelineService service using the specified rpc implementation.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     * @returns RPC service. Useful where requests and/or responses are streamed.
+                     * Creates a new PipelineJob instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns PipelineJob instance
                      */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): PipelineService;
+                    public static create(properties?: google.cloud.aiplatform.v1.IPipelineJob): google.cloud.aiplatform.v1.PipelineJob;
 
                     /**
-                     * Calls CreateTrainingPipeline.
-                     * @param request CreateTrainingPipelineRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and TrainingPipeline
+                     * Encodes the specified PipelineJob message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.verify|verify} messages.
+                     * @param message PipelineJob message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public createTrainingPipeline(request: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipelineCallback): void;
+                    public static encode(message: google.cloud.aiplatform.v1.IPipelineJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CreateTrainingPipeline.
-                     * @param request CreateTrainingPipelineRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified PipelineJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.verify|verify} messages.
+                     * @param message PipelineJob message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public createTrainingPipeline(request: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest): Promise<google.cloud.aiplatform.v1.TrainingPipeline>;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IPipelineJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls GetTrainingPipeline.
-                     * @param request GetTrainingPipelineRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and TrainingPipeline
+                     * Decodes a PipelineJob message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns PipelineJob
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public getTrainingPipeline(request: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.GetTrainingPipelineCallback): void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineJob;
 
                     /**
-                     * Calls GetTrainingPipeline.
-                     * @param request GetTrainingPipelineRequest message or plain object
-                     * @returns Promise
+                     * Decodes a PipelineJob message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns PipelineJob
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public getTrainingPipeline(request: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest): Promise<google.cloud.aiplatform.v1.TrainingPipeline>;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineJob;
+
+                    /**
+                     * Verifies a PipelineJob message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a PipelineJob message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns PipelineJob
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineJob;
+
+                    /**
+                     * Creates a plain object from a PipelineJob message. Also converts values to other types if specified.
+                     * @param message PipelineJob
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.PipelineJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this PipelineJob to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace PipelineJob {
+
+                    /** Properties of a RuntimeConfig. */
+                    interface IRuntimeConfig {
+
+                        /** RuntimeConfig parameters */
+                        parameters?: ({ [k: string]: google.cloud.aiplatform.v1.IValue }|null);
+
+                        /** RuntimeConfig gcsOutputDirectory */
+                        gcsOutputDirectory?: (string|null);
+                    }
+
+                    /** Represents a RuntimeConfig. */
+                    class RuntimeConfig implements IRuntimeConfig {
+
+                        /**
+                         * Constructs a new RuntimeConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig);
+
+                        /** RuntimeConfig parameters. */
+                        public parameters: { [k: string]: google.cloud.aiplatform.v1.IValue };
+
+                        /** RuntimeConfig gcsOutputDirectory. */
+                        public gcsOutputDirectory: string;
+
+                        /**
+                         * Creates a new RuntimeConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns RuntimeConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig): google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig;
+
+                        /**
+                         * Encodes the specified RuntimeConfig message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.verify|verify} messages.
+                         * @param message RuntimeConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified RuntimeConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.verify|verify} messages.
+                         * @param message RuntimeConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a RuntimeConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns RuntimeConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig;
+
+                        /**
+                         * Decodes a RuntimeConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns RuntimeConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig;
+
+                        /**
+                         * Verifies a RuntimeConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a RuntimeConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns RuntimeConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig;
+
+                        /**
+                         * Creates a plain object from a RuntimeConfig message. Also converts values to other types if specified.
+                         * @param message RuntimeConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this RuntimeConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+                }
+
+                /** Properties of a PipelineJobDetail. */
+                interface IPipelineJobDetail {
+
+                    /** PipelineJobDetail pipelineContext */
+                    pipelineContext?: (google.cloud.aiplatform.v1.IContext|null);
+
+                    /** PipelineJobDetail pipelineRunContext */
+                    pipelineRunContext?: (google.cloud.aiplatform.v1.IContext|null);
+
+                    /** PipelineJobDetail taskDetails */
+                    taskDetails?: (google.cloud.aiplatform.v1.IPipelineTaskDetail[]|null);
+                }
+
+                /** Represents a PipelineJobDetail. */
+                class PipelineJobDetail implements IPipelineJobDetail {
+
+                    /**
+                     * Constructs a new PipelineJobDetail.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IPipelineJobDetail);
+
+                    /** PipelineJobDetail pipelineContext. */
+                    public pipelineContext?: (google.cloud.aiplatform.v1.IContext|null);
+
+                    /** PipelineJobDetail pipelineRunContext. */
+                    public pipelineRunContext?: (google.cloud.aiplatform.v1.IContext|null);
+
+                    /** PipelineJobDetail taskDetails. */
+                    public taskDetails: google.cloud.aiplatform.v1.IPipelineTaskDetail[];
+
+                    /**
+                     * Creates a new PipelineJobDetail instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns PipelineJobDetail instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IPipelineJobDetail): google.cloud.aiplatform.v1.PipelineJobDetail;
+
+                    /**
+                     * Encodes the specified PipelineJobDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJobDetail.verify|verify} messages.
+                     * @param message PipelineJobDetail message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IPipelineJobDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified PipelineJobDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJobDetail.verify|verify} messages.
+                     * @param message PipelineJobDetail message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IPipelineJobDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a PipelineJobDetail message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns PipelineJobDetail
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineJobDetail;
+
+                    /**
+                     * Decodes a PipelineJobDetail message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns PipelineJobDetail
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineJobDetail;
+
+                    /**
+                     * Verifies a PipelineJobDetail message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a PipelineJobDetail message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns PipelineJobDetail
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineJobDetail;
+
+                    /**
+                     * Creates a plain object from a PipelineJobDetail message. Also converts values to other types if specified.
+                     * @param message PipelineJobDetail
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.PipelineJobDetail, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this PipelineJobDetail to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a PipelineTaskDetail. */
+                interface IPipelineTaskDetail {
+
+                    /** PipelineTaskDetail taskId */
+                    taskId?: (number|Long|string|null);
+
+                    /** PipelineTaskDetail parentTaskId */
+                    parentTaskId?: (number|Long|string|null);
+
+                    /** PipelineTaskDetail taskName */
+                    taskName?: (string|null);
+
+                    /** PipelineTaskDetail createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineTaskDetail startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineTaskDetail endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineTaskDetail executorDetail */
+                    executorDetail?: (google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail|null);
+
+                    /** PipelineTaskDetail state */
+                    state?: (google.cloud.aiplatform.v1.PipelineTaskDetail.State|keyof typeof google.cloud.aiplatform.v1.PipelineTaskDetail.State|null);
+
+                    /** PipelineTaskDetail execution */
+                    execution?: (google.cloud.aiplatform.v1.IExecution|null);
+
+                    /** PipelineTaskDetail error */
+                    error?: (google.rpc.IStatus|null);
+
+                    /** PipelineTaskDetail inputs */
+                    inputs?: ({ [k: string]: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList }|null);
+
+                    /** PipelineTaskDetail outputs */
+                    outputs?: ({ [k: string]: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList }|null);
+                }
+
+                /** Represents a PipelineTaskDetail. */
+                class PipelineTaskDetail implements IPipelineTaskDetail {
+
+                    /**
+                     * Constructs a new PipelineTaskDetail.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IPipelineTaskDetail);
+
+                    /** PipelineTaskDetail taskId. */
+                    public taskId: (number|Long|string);
+
+                    /** PipelineTaskDetail parentTaskId. */
+                    public parentTaskId: (number|Long|string);
+
+                    /** PipelineTaskDetail taskName. */
+                    public taskName: string;
+
+                    /** PipelineTaskDetail createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineTaskDetail startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineTaskDetail endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
+
+                    /** PipelineTaskDetail executorDetail. */
+                    public executorDetail?: (google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail|null);
+
+                    /** PipelineTaskDetail state. */
+                    public state: (google.cloud.aiplatform.v1.PipelineTaskDetail.State|keyof typeof google.cloud.aiplatform.v1.PipelineTaskDetail.State);
+
+                    /** PipelineTaskDetail execution. */
+                    public execution?: (google.cloud.aiplatform.v1.IExecution|null);
+
+                    /** PipelineTaskDetail error. */
+                    public error?: (google.rpc.IStatus|null);
+
+                    /** PipelineTaskDetail inputs. */
+                    public inputs: { [k: string]: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList };
+
+                    /** PipelineTaskDetail outputs. */
+                    public outputs: { [k: string]: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList };
+
+                    /**
+                     * Creates a new PipelineTaskDetail instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns PipelineTaskDetail instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IPipelineTaskDetail): google.cloud.aiplatform.v1.PipelineTaskDetail;
+
+                    /**
+                     * Encodes the specified PipelineTaskDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.verify|verify} messages.
+                     * @param message PipelineTaskDetail message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IPipelineTaskDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified PipelineTaskDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.verify|verify} messages.
+                     * @param message PipelineTaskDetail message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IPipelineTaskDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a PipelineTaskDetail message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns PipelineTaskDetail
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineTaskDetail;
+
+                    /**
+                     * Decodes a PipelineTaskDetail message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns PipelineTaskDetail
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineTaskDetail;
+
+                    /**
+                     * Verifies a PipelineTaskDetail message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a PipelineTaskDetail message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns PipelineTaskDetail
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineTaskDetail;
+
+                    /**
+                     * Creates a plain object from a PipelineTaskDetail message. Also converts values to other types if specified.
+                     * @param message PipelineTaskDetail
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.PipelineTaskDetail, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this PipelineTaskDetail to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace PipelineTaskDetail {
+
+                    /** Properties of an ArtifactList. */
+                    interface IArtifactList {
+
+                        /** ArtifactList artifacts */
+                        artifacts?: (google.cloud.aiplatform.v1.IArtifact[]|null);
+                    }
+
+                    /** Represents an ArtifactList. */
+                    class ArtifactList implements IArtifactList {
+
+                        /**
+                         * Constructs a new ArtifactList.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList);
+
+                        /** ArtifactList artifacts. */
+                        public artifacts: google.cloud.aiplatform.v1.IArtifact[];
+
+                        /**
+                         * Creates a new ArtifactList instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ArtifactList instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList): google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList;
+
+                        /**
+                         * Encodes the specified ArtifactList message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.verify|verify} messages.
+                         * @param message ArtifactList message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified ArtifactList message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.verify|verify} messages.
+                         * @param message ArtifactList message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes an ArtifactList message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ArtifactList
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList;
+
+                        /**
+                         * Decodes an ArtifactList message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ArtifactList
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList;
+
+                        /**
+                         * Verifies an ArtifactList message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates an ArtifactList message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ArtifactList
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList;
+
+                        /**
+                         * Creates a plain object from an ArtifactList message. Also converts values to other types if specified.
+                         * @param message ArtifactList
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this ArtifactList to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        PENDING = 1,
+                        RUNNING = 2,
+                        SUCCEEDED = 3,
+                        CANCEL_PENDING = 4,
+                        CANCELLING = 5,
+                        CANCELLED = 6,
+                        FAILED = 7,
+                        SKIPPED = 8,
+                        NOT_TRIGGERED = 9
+                    }
+                }
+
+                /** Properties of a PipelineTaskExecutorDetail. */
+                interface IPipelineTaskExecutorDetail {
+
+                    /** PipelineTaskExecutorDetail containerDetail */
+                    containerDetail?: (google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail|null);
+
+                    /** PipelineTaskExecutorDetail customJobDetail */
+                    customJobDetail?: (google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail|null);
+                }
+
+                /** Represents a PipelineTaskExecutorDetail. */
+                class PipelineTaskExecutorDetail implements IPipelineTaskExecutorDetail {
+
+                    /**
+                     * Constructs a new PipelineTaskExecutorDetail.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail);
+
+                    /** PipelineTaskExecutorDetail containerDetail. */
+                    public containerDetail?: (google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail|null);
+
+                    /** PipelineTaskExecutorDetail customJobDetail. */
+                    public customJobDetail?: (google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail|null);
+
+                    /** PipelineTaskExecutorDetail details. */
+                    public details?: ("containerDetail"|"customJobDetail");
+
+                    /**
+                     * Creates a new PipelineTaskExecutorDetail instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns PipelineTaskExecutorDetail instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail;
+
+                    /**
+                     * Encodes the specified PipelineTaskExecutorDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.verify|verify} messages.
+                     * @param message PipelineTaskExecutorDetail message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified PipelineTaskExecutorDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.verify|verify} messages.
+                     * @param message PipelineTaskExecutorDetail message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a PipelineTaskExecutorDetail message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns PipelineTaskExecutorDetail
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail;
+
+                    /**
+                     * Decodes a PipelineTaskExecutorDetail message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns PipelineTaskExecutorDetail
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail;
+
+                    /**
+                     * Verifies a PipelineTaskExecutorDetail message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a PipelineTaskExecutorDetail message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns PipelineTaskExecutorDetail
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail;
+
+                    /**
+                     * Creates a plain object from a PipelineTaskExecutorDetail message. Also converts values to other types if specified.
+                     * @param message PipelineTaskExecutorDetail
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this PipelineTaskExecutorDetail to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace PipelineTaskExecutorDetail {
+
+                    /** Properties of a ContainerDetail. */
+                    interface IContainerDetail {
+
+                        /** ContainerDetail mainJob */
+                        mainJob?: (string|null);
+
+                        /** ContainerDetail preCachingCheckJob */
+                        preCachingCheckJob?: (string|null);
+                    }
+
+                    /** Represents a ContainerDetail. */
+                    class ContainerDetail implements IContainerDetail {
+
+                        /**
+                         * Constructs a new ContainerDetail.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail);
+
+                        /** ContainerDetail mainJob. */
+                        public mainJob: string;
+
+                        /** ContainerDetail preCachingCheckJob. */
+                        public preCachingCheckJob: string;
+
+                        /**
+                         * Creates a new ContainerDetail instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ContainerDetail instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail;
+
+                        /**
+                         * Encodes the specified ContainerDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.verify|verify} messages.
+                         * @param message ContainerDetail message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified ContainerDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.verify|verify} messages.
+                         * @param message ContainerDetail message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a ContainerDetail message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ContainerDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail;
+
+                        /**
+                         * Decodes a ContainerDetail message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ContainerDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail;
+
+                        /**
+                         * Verifies a ContainerDetail message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a ContainerDetail message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ContainerDetail
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail;
+
+                        /**
+                         * Creates a plain object from a ContainerDetail message. Also converts values to other types if specified.
+                         * @param message ContainerDetail
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this ContainerDetail to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    /** Properties of a CustomJobDetail. */
+                    interface ICustomJobDetail {
+
+                        /** CustomJobDetail job */
+                        job?: (string|null);
+                    }
+
+                    /** Represents a CustomJobDetail. */
+                    class CustomJobDetail implements ICustomJobDetail {
+
+                        /**
+                         * Constructs a new CustomJobDetail.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail);
+
+                        /** CustomJobDetail job. */
+                        public job: string;
+
+                        /**
+                         * Creates a new CustomJobDetail instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns CustomJobDetail instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail;
+
+                        /**
+                         * Encodes the specified CustomJobDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.verify|verify} messages.
+                         * @param message CustomJobDetail message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified CustomJobDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.verify|verify} messages.
+                         * @param message CustomJobDetail message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a CustomJobDetail message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns CustomJobDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail;
+
+                        /**
+                         * Decodes a CustomJobDetail message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns CustomJobDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail;
+
+                        /**
+                         * Verifies a CustomJobDetail message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a CustomJobDetail message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns CustomJobDetail
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail;
+
+                        /**
+                         * Creates a plain object from a CustomJobDetail message. Also converts values to other types if specified.
+                         * @param message CustomJobDetail
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this CustomJobDetail to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+                }
+
+                /** Represents a PipelineService */
+                class PipelineService extends $protobuf.rpc.Service {
+
+                    /**
+                     * Constructs a new PipelineService service.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     */
+                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
+
+                    /**
+                     * Creates new PipelineService service using the specified rpc implementation.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * @returns RPC service. Useful where requests and/or responses are streamed.
+                     */
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): PipelineService;
+
+                    /**
+                     * Calls CreateTrainingPipeline.
+                     * @param request CreateTrainingPipelineRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and TrainingPipeline
+                     */
+                    public createTrainingPipeline(request: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipelineCallback): void;
+
+                    /**
+                     * Calls CreateTrainingPipeline.
+                     * @param request CreateTrainingPipelineRequest message or plain object
+                     * @returns Promise
+                     */
+                    public createTrainingPipeline(request: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest): Promise<google.cloud.aiplatform.v1.TrainingPipeline>;
+
+                    /**
+                     * Calls GetTrainingPipeline.
+                     * @param request GetTrainingPipelineRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and TrainingPipeline
+                     */
+                    public getTrainingPipeline(request: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.GetTrainingPipelineCallback): void;
+
+                    /**
+                     * Calls GetTrainingPipeline.
+                     * @param request GetTrainingPipelineRequest message or plain object
+                     * @returns Promise
+                     */
+                    public getTrainingPipeline(request: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest): Promise<google.cloud.aiplatform.v1.TrainingPipeline>;
+
+                    /**
+                     * Calls ListTrainingPipelines.
+                     * @param request ListTrainingPipelinesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListTrainingPipelinesResponse
+                     */
+                    public listTrainingPipelines(request: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest, callback: google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelinesCallback): void;
+
+                    /**
+                     * Calls ListTrainingPipelines.
+                     * @param request ListTrainingPipelinesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listTrainingPipelines(request: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest): Promise<google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>;
+
+                    /**
+                     * Calls DeleteTrainingPipeline.
+                     * @param request DeleteTrainingPipelineRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteTrainingPipeline(request: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipelineCallback): void;
+
+                    /**
+                     * Calls DeleteTrainingPipeline.
+                     * @param request DeleteTrainingPipelineRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteTrainingPipeline(request: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest): Promise<google.longrunning.Operation>;
+
+                    /**
+                     * Calls CancelTrainingPipeline.
+                     * @param request CancelTrainingPipelineRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
+                     */
+                    public cancelTrainingPipeline(request: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipelineCallback): void;
+
+                    /**
+                     * Calls CancelTrainingPipeline.
+                     * @param request CancelTrainingPipelineRequest message or plain object
+                     * @returns Promise
+                     */
+                    public cancelTrainingPipeline(request: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest): Promise<google.protobuf.Empty>;
+
+                    /**
+                     * Calls CreatePipelineJob.
+                     * @param request CreatePipelineJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and PipelineJob
+                     */
+                    public createPipelineJob(request: google.cloud.aiplatform.v1.ICreatePipelineJobRequest, callback: google.cloud.aiplatform.v1.PipelineService.CreatePipelineJobCallback): void;
+
+                    /**
+                     * Calls CreatePipelineJob.
+                     * @param request CreatePipelineJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public createPipelineJob(request: google.cloud.aiplatform.v1.ICreatePipelineJobRequest): Promise<google.cloud.aiplatform.v1.PipelineJob>;
+
+                    /**
+                     * Calls GetPipelineJob.
+                     * @param request GetPipelineJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and PipelineJob
+                     */
+                    public getPipelineJob(request: google.cloud.aiplatform.v1.IGetPipelineJobRequest, callback: google.cloud.aiplatform.v1.PipelineService.GetPipelineJobCallback): void;
+
+                    /**
+                     * Calls GetPipelineJob.
+                     * @param request GetPipelineJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public getPipelineJob(request: google.cloud.aiplatform.v1.IGetPipelineJobRequest): Promise<google.cloud.aiplatform.v1.PipelineJob>;
+
+                    /**
+                     * Calls ListPipelineJobs.
+                     * @param request ListPipelineJobsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListPipelineJobsResponse
+                     */
+                    public listPipelineJobs(request: google.cloud.aiplatform.v1.IListPipelineJobsRequest, callback: google.cloud.aiplatform.v1.PipelineService.ListPipelineJobsCallback): void;
+
+                    /**
+                     * Calls ListPipelineJobs.
+                     * @param request ListPipelineJobsRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listPipelineJobs(request: google.cloud.aiplatform.v1.IListPipelineJobsRequest): Promise<google.cloud.aiplatform.v1.ListPipelineJobsResponse>;
+
+                    /**
+                     * Calls DeletePipelineJob.
+                     * @param request DeletePipelineJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deletePipelineJob(request: google.cloud.aiplatform.v1.IDeletePipelineJobRequest, callback: google.cloud.aiplatform.v1.PipelineService.DeletePipelineJobCallback): void;
+
+                    /**
+                     * Calls DeletePipelineJob.
+                     * @param request DeletePipelineJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deletePipelineJob(request: google.cloud.aiplatform.v1.IDeletePipelineJobRequest): Promise<google.longrunning.Operation>;
+
+                    /**
+                     * Calls CancelPipelineJob.
+                     * @param request CancelPipelineJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
+                     */
+                    public cancelPipelineJob(request: google.cloud.aiplatform.v1.ICancelPipelineJobRequest, callback: google.cloud.aiplatform.v1.PipelineService.CancelPipelineJobCallback): void;
+
+                    /**
+                     * Calls CancelPipelineJob.
+                     * @param request CancelPipelineJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public cancelPipelineJob(request: google.cloud.aiplatform.v1.ICancelPipelineJobRequest): Promise<google.protobuf.Empty>;
+                }
+
+                namespace PipelineService {
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#createTrainingPipeline}.
+                     * @param error Error, if any
+                     * @param [response] TrainingPipeline
+                     */
+                    type CreateTrainingPipelineCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.TrainingPipeline) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#getTrainingPipeline}.
+                     * @param error Error, if any
+                     * @param [response] TrainingPipeline
+                     */
+                    type GetTrainingPipelineCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.TrainingPipeline) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#listTrainingPipelines}.
+                     * @param error Error, if any
+                     * @param [response] ListTrainingPipelinesResponse
+                     */
+                    type ListTrainingPipelinesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListTrainingPipelinesResponse) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#deleteTrainingPipeline}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteTrainingPipelineCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#cancelTrainingPipeline}.
+                     * @param error Error, if any
+                     * @param [response] Empty
+                     */
+                    type CancelTrainingPipelineCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#createPipelineJob}.
+                     * @param error Error, if any
+                     * @param [response] PipelineJob
+                     */
+                    type CreatePipelineJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.PipelineJob) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#getPipelineJob}.
+                     * @param error Error, if any
+                     * @param [response] PipelineJob
+                     */
+                    type GetPipelineJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.PipelineJob) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#listPipelineJobs}.
+                     * @param error Error, if any
+                     * @param [response] ListPipelineJobsResponse
+                     */
+                    type ListPipelineJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListPipelineJobsResponse) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#deletePipelineJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeletePipelineJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#cancelPipelineJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
+                     */
+                    type CancelPipelineJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                }
+
+                /** Properties of a CreateTrainingPipelineRequest. */
+                interface ICreateTrainingPipelineRequest {
+
+                    /** CreateTrainingPipelineRequest parent */
+                    parent?: (string|null);
+
+                    /** CreateTrainingPipelineRequest trainingPipeline */
+                    trainingPipeline?: (google.cloud.aiplatform.v1.ITrainingPipeline|null);
+                }
+
+                /** Represents a CreateTrainingPipelineRequest. */
+                class CreateTrainingPipelineRequest implements ICreateTrainingPipelineRequest {
+
+                    /**
+                     * Constructs a new CreateTrainingPipelineRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest);
+
+                    /** CreateTrainingPipelineRequest parent. */
+                    public parent: string;
+
+                    /** CreateTrainingPipelineRequest trainingPipeline. */
+                    public trainingPipeline?: (google.cloud.aiplatform.v1.ITrainingPipeline|null);
+
+                    /**
+                     * Creates a new CreateTrainingPipelineRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateTrainingPipelineRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+
+                    /**
+                     * Encodes the specified CreateTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
+                     * @param message CreateTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified CreateTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
+                     * @param message CreateTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+
+                    /**
+                     * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+
+                    /**
+                     * Verifies a CreateTrainingPipelineRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a CreateTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateTrainingPipelineRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+
+                    /**
+                     * Creates a plain object from a CreateTrainingPipelineRequest message. Also converts values to other types if specified.
+                     * @param message CreateTrainingPipelineRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.CreateTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this CreateTrainingPipelineRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a GetTrainingPipelineRequest. */
+                interface IGetTrainingPipelineRequest {
+
+                    /** GetTrainingPipelineRequest name */
+                    name?: (string|null);
+                }
+
+                /** Represents a GetTrainingPipelineRequest. */
+                class GetTrainingPipelineRequest implements IGetTrainingPipelineRequest {
+
+                    /**
+                     * Constructs a new GetTrainingPipelineRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest);
+
+                    /** GetTrainingPipelineRequest name. */
+                    public name: string;
+
+                    /**
+                     * Creates a new GetTrainingPipelineRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns GetTrainingPipelineRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+
+                    /**
+                     * Encodes the specified GetTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
+                     * @param message GetTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified GetTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
+                     * @param message GetTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns GetTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+
+                    /**
+                     * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns GetTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+
+                    /**
+                     * Verifies a GetTrainingPipelineRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a GetTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns GetTrainingPipelineRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+
+                    /**
+                     * Creates a plain object from a GetTrainingPipelineRequest message. Also converts values to other types if specified.
+                     * @param message GetTrainingPipelineRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.GetTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this GetTrainingPipelineRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a ListTrainingPipelinesRequest. */
+                interface IListTrainingPipelinesRequest {
+
+                    /** ListTrainingPipelinesRequest parent */
+                    parent?: (string|null);
+
+                    /** ListTrainingPipelinesRequest filter */
+                    filter?: (string|null);
+
+                    /** ListTrainingPipelinesRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListTrainingPipelinesRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListTrainingPipelinesRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+                }
+
+                /** Represents a ListTrainingPipelinesRequest. */
+                class ListTrainingPipelinesRequest implements IListTrainingPipelinesRequest {
+
+                    /**
+                     * Constructs a new ListTrainingPipelinesRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest);
+
+                    /** ListTrainingPipelinesRequest parent. */
+                    public parent: string;
+
+                    /** ListTrainingPipelinesRequest filter. */
+                    public filter: string;
+
+                    /** ListTrainingPipelinesRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListTrainingPipelinesRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListTrainingPipelinesRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
+                    /**
+                     * Creates a new ListTrainingPipelinesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListTrainingPipelinesRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+
+                    /**
+                     * Encodes the specified ListTrainingPipelinesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
+                     * @param message ListTrainingPipelinesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ListTrainingPipelinesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
+                     * @param message ListTrainingPipelinesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListTrainingPipelinesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+
+                    /**
+                     * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListTrainingPipelinesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+
+                    /**
+                     * Verifies a ListTrainingPipelinesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a ListTrainingPipelinesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListTrainingPipelinesRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+
+                    /**
+                     * Creates a plain object from a ListTrainingPipelinesRequest message. Also converts values to other types if specified.
+                     * @param message ListTrainingPipelinesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ListTrainingPipelinesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ListTrainingPipelinesRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a ListTrainingPipelinesResponse. */
+                interface IListTrainingPipelinesResponse {
+
+                    /** ListTrainingPipelinesResponse trainingPipelines */
+                    trainingPipelines?: (google.cloud.aiplatform.v1.ITrainingPipeline[]|null);
+
+                    /** ListTrainingPipelinesResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
+
+                /** Represents a ListTrainingPipelinesResponse. */
+                class ListTrainingPipelinesResponse implements IListTrainingPipelinesResponse {
+
+                    /**
+                     * Constructs a new ListTrainingPipelinesResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse);
+
+                    /** ListTrainingPipelinesResponse trainingPipelines. */
+                    public trainingPipelines: google.cloud.aiplatform.v1.ITrainingPipeline[];
+
+                    /** ListTrainingPipelinesResponse nextPageToken. */
+                    public nextPageToken: string;
+
+                    /**
+                     * Creates a new ListTrainingPipelinesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListTrainingPipelinesResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+
+                    /**
+                     * Encodes the specified ListTrainingPipelinesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
+                     * @param message ListTrainingPipelinesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ListTrainingPipelinesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
+                     * @param message ListTrainingPipelinesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListTrainingPipelinesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+
+                    /**
+                     * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListTrainingPipelinesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+
+                    /**
+                     * Verifies a ListTrainingPipelinesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a ListTrainingPipelinesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListTrainingPipelinesResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+
+                    /**
+                     * Creates a plain object from a ListTrainingPipelinesResponse message. Also converts values to other types if specified.
+                     * @param message ListTrainingPipelinesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ListTrainingPipelinesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ListTrainingPipelinesResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a DeleteTrainingPipelineRequest. */
+                interface IDeleteTrainingPipelineRequest {
+
+                    /** DeleteTrainingPipelineRequest name */
+                    name?: (string|null);
+                }
+
+                /** Represents a DeleteTrainingPipelineRequest. */
+                class DeleteTrainingPipelineRequest implements IDeleteTrainingPipelineRequest {
+
+                    /**
+                     * Constructs a new DeleteTrainingPipelineRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest);
+
+                    /** DeleteTrainingPipelineRequest name. */
+                    public name: string;
+
+                    /**
+                     * Creates a new DeleteTrainingPipelineRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns DeleteTrainingPipelineRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+
+                    /**
+                     * Encodes the specified DeleteTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
+                     * @param message DeleteTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified DeleteTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
+                     * @param message DeleteTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns DeleteTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+
+                    /**
+                     * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns DeleteTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+
+                    /**
+                     * Verifies a DeleteTrainingPipelineRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a DeleteTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns DeleteTrainingPipelineRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+
+                    /**
+                     * Creates a plain object from a DeleteTrainingPipelineRequest message. Also converts values to other types if specified.
+                     * @param message DeleteTrainingPipelineRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this DeleteTrainingPipelineRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a CancelTrainingPipelineRequest. */
+                interface ICancelTrainingPipelineRequest {
+
+                    /** CancelTrainingPipelineRequest name */
+                    name?: (string|null);
+                }
+
+                /** Represents a CancelTrainingPipelineRequest. */
+                class CancelTrainingPipelineRequest implements ICancelTrainingPipelineRequest {
 
                     /**
-                     * Calls ListTrainingPipelines.
-                     * @param request ListTrainingPipelinesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListTrainingPipelinesResponse
+                     * Constructs a new CancelTrainingPipelineRequest.
+                     * @param [properties] Properties to set
                      */
-                    public listTrainingPipelines(request: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest, callback: google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelinesCallback): void;
+                    constructor(properties?: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest);
 
-                    /**
-                     * Calls ListTrainingPipelines.
-                     * @param request ListTrainingPipelinesRequest message or plain object
-                     * @returns Promise
-                     */
-                    public listTrainingPipelines(request: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest): Promise<google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>;
+                    /** CancelTrainingPipelineRequest name. */
+                    public name: string;
 
                     /**
-                     * Calls DeleteTrainingPipeline.
-                     * @param request DeleteTrainingPipelineRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a new CancelTrainingPipelineRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CancelTrainingPipelineRequest instance
                      */
-                    public deleteTrainingPipeline(request: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipelineCallback): void;
+                    public static create(properties?: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
 
                     /**
-                     * Calls DeleteTrainingPipeline.
-                     * @param request DeleteTrainingPipelineRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified CancelTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
+                     * @param message CancelTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteTrainingPipeline(request: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest): Promise<google.longrunning.Operation>;
+                    public static encode(message: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelTrainingPipeline.
-                     * @param request CancelTrainingPipelineRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
+                     * Encodes the specified CancelTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
+                     * @param message CancelTrainingPipelineRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public cancelTrainingPipeline(request: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest, callback: google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipelineCallback): void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelTrainingPipeline.
-                     * @param request CancelTrainingPipelineRequest message or plain object
-                     * @returns Promise
+                     * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CancelTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public cancelTrainingPipeline(request: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest): Promise<google.protobuf.Empty>;
-                }
-
-                namespace PipelineService {
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#createTrainingPipeline}.
-                     * @param error Error, if any
-                     * @param [response] TrainingPipeline
+                     * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CancelTrainingPipelineRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type CreateTrainingPipelineCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.TrainingPipeline) => void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#getTrainingPipeline}.
-                     * @param error Error, if any
-                     * @param [response] TrainingPipeline
+                     * Verifies a CancelTrainingPipelineRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    type GetTrainingPipelineCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.TrainingPipeline) => void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#listTrainingPipelines}.
-                     * @param error Error, if any
-                     * @param [response] ListTrainingPipelinesResponse
+                     * Creates a CancelTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CancelTrainingPipelineRequest
                      */
-                    type ListTrainingPipelinesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListTrainingPipelinesResponse) => void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#deleteTrainingPipeline}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Creates a plain object from a CancelTrainingPipelineRequest message. Also converts values to other types if specified.
+                     * @param message CancelTrainingPipelineRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    type DeleteTrainingPipelineCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static toObject(message: google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#cancelTrainingPipeline}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Converts this CancelTrainingPipelineRequest to JSON.
+                     * @returns JSON object
                      */
-                    type CancelTrainingPipelineCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateTrainingPipelineRequest. */
-                interface ICreateTrainingPipelineRequest {
+                /** Properties of a CreatePipelineJobRequest. */
+                interface ICreatePipelineJobRequest {
 
-                    /** CreateTrainingPipelineRequest parent */
+                    /** CreatePipelineJobRequest parent */
                     parent?: (string|null);
 
-                    /** CreateTrainingPipelineRequest trainingPipeline */
-                    trainingPipeline?: (google.cloud.aiplatform.v1.ITrainingPipeline|null);
+                    /** CreatePipelineJobRequest pipelineJob */
+                    pipelineJob?: (google.cloud.aiplatform.v1.IPipelineJob|null);
+
+                    /** CreatePipelineJobRequest pipelineJobId */
+                    pipelineJobId?: (string|null);
                 }
 
-                /** Represents a CreateTrainingPipelineRequest. */
-                class CreateTrainingPipelineRequest implements ICreateTrainingPipelineRequest {
+                /** Represents a CreatePipelineJobRequest. */
+                class CreatePipelineJobRequest implements ICreatePipelineJobRequest {
 
                     /**
-                     * Constructs a new CreateTrainingPipelineRequest.
+                     * Constructs a new CreatePipelineJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1.ICreatePipelineJobRequest);
 
-                    /** CreateTrainingPipelineRequest parent. */
+                    /** CreatePipelineJobRequest parent. */
                     public parent: string;
 
-                    /** CreateTrainingPipelineRequest trainingPipeline. */
-                    public trainingPipeline?: (google.cloud.aiplatform.v1.ITrainingPipeline|null);
+                    /** CreatePipelineJobRequest pipelineJob. */
+                    public pipelineJob?: (google.cloud.aiplatform.v1.IPipelineJob|null);
+
+                    /** CreatePipelineJobRequest pipelineJobId. */
+                    public pipelineJobId: string;
 
                     /**
-                     * Creates a new CreateTrainingPipelineRequest instance using the specified properties.
+                     * Creates a new CreatePipelineJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateTrainingPipelineRequest instance
+                     * @returns CreatePipelineJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1.ICreatePipelineJobRequest): google.cloud.aiplatform.v1.CreatePipelineJobRequest;
 
                     /**
-                     * Encodes the specified CreateTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
-                     * @param message CreateTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified CreatePipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CreatePipelineJobRequest.verify|verify} messages.
+                     * @param message CreatePipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1.ICreatePipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
-                     * @param message CreateTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified CreatePipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CreatePipelineJobRequest.verify|verify} messages.
+                     * @param message CreatePipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ICreatePipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer.
+                     * Decodes a CreatePipelineJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateTrainingPipelineRequest
+                     * @returns CreatePipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.CreatePipelineJobRequest;
 
                     /**
-                     * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a CreatePipelineJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateTrainingPipelineRequest
+                     * @returns CreatePipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.CreatePipelineJobRequest;
 
                     /**
-                     * Verifies a CreateTrainingPipelineRequest message.
+                     * Verifies a CreatePipelineJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreatePipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateTrainingPipelineRequest
+                     * @returns CreatePipelineJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.CreatePipelineJobRequest;
 
                     /**
-                     * Creates a plain object from a CreateTrainingPipelineRequest message. Also converts values to other types if specified.
-                     * @param message CreateTrainingPipelineRequest
+                     * Creates a plain object from a CreatePipelineJobRequest message. Also converts values to other types if specified.
+                     * @param message CreatePipelineJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1.CreateTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1.CreatePipelineJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateTrainingPipelineRequest to JSON.
+                     * Converts this CreatePipelineJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetTrainingPipelineRequest. */
-                interface IGetTrainingPipelineRequest {
+                /** Properties of a GetPipelineJobRequest. */
+                interface IGetPipelineJobRequest {
 
-                    /** GetTrainingPipelineRequest name */
+                    /** GetPipelineJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a GetTrainingPipelineRequest. */
-                class GetTrainingPipelineRequest implements IGetTrainingPipelineRequest {
+                /** Represents a GetPipelineJobRequest. */
+                class GetPipelineJobRequest implements IGetPipelineJobRequest {
 
                     /**
-                     * Constructs a new GetTrainingPipelineRequest.
+                     * Constructs a new GetPipelineJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1.IGetPipelineJobRequest);
 
-                    /** GetTrainingPipelineRequest name. */
+                    /** GetPipelineJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new GetTrainingPipelineRequest instance using the specified properties.
+                     * Creates a new GetPipelineJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetTrainingPipelineRequest instance
+                     * @returns GetPipelineJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1.IGetPipelineJobRequest): google.cloud.aiplatform.v1.GetPipelineJobRequest;
 
                     /**
-                     * Encodes the specified GetTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
-                     * @param message GetTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified GetPipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetPipelineJobRequest.verify|verify} messages.
+                     * @param message GetPipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1.IGetPipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
-                     * @param message GetTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified GetPipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetPipelineJobRequest.verify|verify} messages.
+                     * @param message GetPipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IGetTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IGetPipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer.
+                     * Decodes a GetPipelineJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetTrainingPipelineRequest
+                     * @returns GetPipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.GetPipelineJobRequest;
 
                     /**
-                     * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetPipelineJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetTrainingPipelineRequest
+                     * @returns GetPipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.GetPipelineJobRequest;
 
                     /**
-                     * Verifies a GetTrainingPipelineRequest message.
+                     * Verifies a GetPipelineJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetPipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetTrainingPipelineRequest
+                     * @returns GetPipelineJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.GetPipelineJobRequest;
 
                     /**
-                     * Creates a plain object from a GetTrainingPipelineRequest message. Also converts values to other types if specified.
-                     * @param message GetTrainingPipelineRequest
+                     * Creates a plain object from a GetPipelineJobRequest message. Also converts values to other types if specified.
+                     * @param message GetPipelineJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1.GetTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1.GetPipelineJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetTrainingPipelineRequest to JSON.
+                     * Converts this GetPipelineJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListTrainingPipelinesRequest. */
-                interface IListTrainingPipelinesRequest {
+                /** Properties of a ListPipelineJobsRequest. */
+                interface IListPipelineJobsRequest {
 
-                    /** ListTrainingPipelinesRequest parent */
+                    /** ListPipelineJobsRequest parent */
                     parent?: (string|null);
 
-                    /** ListTrainingPipelinesRequest filter */
+                    /** ListPipelineJobsRequest filter */
                     filter?: (string|null);
 
-                    /** ListTrainingPipelinesRequest pageSize */
+                    /** ListPipelineJobsRequest pageSize */
                     pageSize?: (number|null);
 
-                    /** ListTrainingPipelinesRequest pageToken */
+                    /** ListPipelineJobsRequest pageToken */
                     pageToken?: (string|null);
-
-                    /** ListTrainingPipelinesRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a ListTrainingPipelinesRequest. */
-                class ListTrainingPipelinesRequest implements IListTrainingPipelinesRequest {
+                /** Represents a ListPipelineJobsRequest. */
+                class ListPipelineJobsRequest implements IListPipelineJobsRequest {
 
                     /**
-                     * Constructs a new ListTrainingPipelinesRequest.
+                     * Constructs a new ListPipelineJobsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1.IListPipelineJobsRequest);
 
-                    /** ListTrainingPipelinesRequest parent. */
+                    /** ListPipelineJobsRequest parent. */
                     public parent: string;
 
-                    /** ListTrainingPipelinesRequest filter. */
+                    /** ListPipelineJobsRequest filter. */
                     public filter: string;
 
-                    /** ListTrainingPipelinesRequest pageSize. */
+                    /** ListPipelineJobsRequest pageSize. */
                     public pageSize: number;
 
-                    /** ListTrainingPipelinesRequest pageToken. */
+                    /** ListPipelineJobsRequest pageToken. */
                     public pageToken: string;
 
-                    /** ListTrainingPipelinesRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
-
                     /**
-                     * Creates a new ListTrainingPipelinesRequest instance using the specified properties.
+                     * Creates a new ListPipelineJobsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListTrainingPipelinesRequest instance
+                     * @returns ListPipelineJobsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1.IListPipelineJobsRequest): google.cloud.aiplatform.v1.ListPipelineJobsRequest;
 
                     /**
-                     * Encodes the specified ListTrainingPipelinesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
-                     * @param message ListTrainingPipelinesRequest message or plain object to encode
+                     * Encodes the specified ListPipelineJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsRequest.verify|verify} messages.
+                     * @param message ListPipelineJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1.IListPipelineJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListTrainingPipelinesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
-                     * @param message ListTrainingPipelinesRequest message or plain object to encode
+                     * Encodes the specified ListPipelineJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsRequest.verify|verify} messages.
+                     * @param message ListPipelineJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListTrainingPipelinesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListPipelineJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer.
+                     * Decodes a ListPipelineJobsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListTrainingPipelinesRequest
+                     * @returns ListPipelineJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListPipelineJobsRequest;
 
                     /**
-                     * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListPipelineJobsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListTrainingPipelinesRequest
+                     * @returns ListPipelineJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListPipelineJobsRequest;
 
                     /**
-                     * Verifies a ListTrainingPipelinesRequest message.
+                     * Verifies a ListPipelineJobsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListTrainingPipelinesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListPipelineJobsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListTrainingPipelinesRequest
+                     * @returns ListPipelineJobsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListPipelineJobsRequest;
 
                     /**
-                     * Creates a plain object from a ListTrainingPipelinesRequest message. Also converts values to other types if specified.
-                     * @param message ListTrainingPipelinesRequest
+                     * Creates a plain object from a ListPipelineJobsRequest message. Also converts values to other types if specified.
+                     * @param message ListPipelineJobsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1.ListTrainingPipelinesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1.ListPipelineJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListTrainingPipelinesRequest to JSON.
+                     * Converts this ListPipelineJobsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListTrainingPipelinesResponse. */
-                interface IListTrainingPipelinesResponse {
+                /** Properties of a ListPipelineJobsResponse. */
+                interface IListPipelineJobsResponse {
 
-                    /** ListTrainingPipelinesResponse trainingPipelines */
-                    trainingPipelines?: (google.cloud.aiplatform.v1.ITrainingPipeline[]|null);
+                    /** ListPipelineJobsResponse pipelineJobs */
+                    pipelineJobs?: (google.cloud.aiplatform.v1.IPipelineJob[]|null);
 
-                    /** ListTrainingPipelinesResponse nextPageToken */
+                    /** ListPipelineJobsResponse nextPageToken */
                     nextPageToken?: (string|null);
                 }
 
-                /** Represents a ListTrainingPipelinesResponse. */
-                class ListTrainingPipelinesResponse implements IListTrainingPipelinesResponse {
+                /** Represents a ListPipelineJobsResponse. */
+                class ListPipelineJobsResponse implements IListPipelineJobsResponse {
 
                     /**
-                     * Constructs a new ListTrainingPipelinesResponse.
+                     * Constructs a new ListPipelineJobsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1.IListPipelineJobsResponse);
 
-                    /** ListTrainingPipelinesResponse trainingPipelines. */
-                    public trainingPipelines: google.cloud.aiplatform.v1.ITrainingPipeline[];
+                    /** ListPipelineJobsResponse pipelineJobs. */
+                    public pipelineJobs: google.cloud.aiplatform.v1.IPipelineJob[];
 
-                    /** ListTrainingPipelinesResponse nextPageToken. */
+                    /** ListPipelineJobsResponse nextPageToken. */
                     public nextPageToken: string;
 
                     /**
-                     * Creates a new ListTrainingPipelinesResponse instance using the specified properties.
+                     * Creates a new ListPipelineJobsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListTrainingPipelinesResponse instance
+                     * @returns ListPipelineJobsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1.IListPipelineJobsResponse): google.cloud.aiplatform.v1.ListPipelineJobsResponse;
 
                     /**
-                     * Encodes the specified ListTrainingPipelinesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
-                     * @param message ListTrainingPipelinesResponse message or plain object to encode
+                     * Encodes the specified ListPipelineJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.verify|verify} messages.
+                     * @param message ListPipelineJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1.IListPipelineJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListTrainingPipelinesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
-                     * @param message ListTrainingPipelinesResponse message or plain object to encode
+                     * Encodes the specified ListPipelineJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.verify|verify} messages.
+                     * @param message ListPipelineJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListTrainingPipelinesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListPipelineJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer.
+                     * Decodes a ListPipelineJobsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListTrainingPipelinesResponse
+                     * @returns ListPipelineJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListPipelineJobsResponse;
 
                     /**
-                     * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListPipelineJobsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListTrainingPipelinesResponse
+                     * @returns ListPipelineJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListPipelineJobsResponse;
 
                     /**
-                     * Verifies a ListTrainingPipelinesResponse message.
+                     * Verifies a ListPipelineJobsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListTrainingPipelinesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListPipelineJobsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListTrainingPipelinesResponse
+                     * @returns ListPipelineJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListPipelineJobsResponse;
 
                     /**
-                     * Creates a plain object from a ListTrainingPipelinesResponse message. Also converts values to other types if specified.
-                     * @param message ListTrainingPipelinesResponse
+                     * Creates a plain object from a ListPipelineJobsResponse message. Also converts values to other types if specified.
+                     * @param message ListPipelineJobsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1.ListTrainingPipelinesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1.ListPipelineJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListTrainingPipelinesResponse to JSON.
+                     * Converts this ListPipelineJobsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteTrainingPipelineRequest. */
-                interface IDeleteTrainingPipelineRequest {
+                /** Properties of a DeletePipelineJobRequest. */
+                interface IDeletePipelineJobRequest {
 
-                    /** DeleteTrainingPipelineRequest name */
+                    /** DeletePipelineJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a DeleteTrainingPipelineRequest. */
-                class DeleteTrainingPipelineRequest implements IDeleteTrainingPipelineRequest {
+                /** Represents a DeletePipelineJobRequest. */
+                class DeletePipelineJobRequest implements IDeletePipelineJobRequest {
 
                     /**
-                     * Constructs a new DeleteTrainingPipelineRequest.
+                     * Constructs a new DeletePipelineJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1.IDeletePipelineJobRequest);
 
-                    /** DeleteTrainingPipelineRequest name. */
+                    /** DeletePipelineJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new DeleteTrainingPipelineRequest instance using the specified properties.
+                     * Creates a new DeletePipelineJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteTrainingPipelineRequest instance
+                     * @returns DeletePipelineJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1.IDeletePipelineJobRequest): google.cloud.aiplatform.v1.DeletePipelineJobRequest;
 
                     /**
-                     * Encodes the specified DeleteTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
-                     * @param message DeleteTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified DeletePipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeletePipelineJobRequest.verify|verify} messages.
+                     * @param message DeletePipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1.IDeletePipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
-                     * @param message DeleteTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified DeletePipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeletePipelineJobRequest.verify|verify} messages.
+                     * @param message DeletePipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IDeletePipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer.
+                     * Decodes a DeletePipelineJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteTrainingPipelineRequest
+                     * @returns DeletePipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.DeletePipelineJobRequest;
 
                     /**
-                     * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeletePipelineJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteTrainingPipelineRequest
+                     * @returns DeletePipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.DeletePipelineJobRequest;
 
                     /**
-                     * Verifies a DeleteTrainingPipelineRequest message.
+                     * Verifies a DeletePipelineJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeletePipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteTrainingPipelineRequest
+                     * @returns DeletePipelineJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.DeletePipelineJobRequest;
 
                     /**
-                     * Creates a plain object from a DeleteTrainingPipelineRequest message. Also converts values to other types if specified.
-                     * @param message DeleteTrainingPipelineRequest
+                     * Creates a plain object from a DeletePipelineJobRequest message. Also converts values to other types if specified.
+                     * @param message DeletePipelineJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1.DeletePipelineJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteTrainingPipelineRequest to JSON.
+                     * Converts this DeletePipelineJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CancelTrainingPipelineRequest. */
-                interface ICancelTrainingPipelineRequest {
+                /** Properties of a CancelPipelineJobRequest. */
+                interface ICancelPipelineJobRequest {
 
-                    /** CancelTrainingPipelineRequest name */
+                    /** CancelPipelineJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a CancelTrainingPipelineRequest. */
-                class CancelTrainingPipelineRequest implements ICancelTrainingPipelineRequest {
+                /** Represents a CancelPipelineJobRequest. */
+                class CancelPipelineJobRequest implements ICancelPipelineJobRequest {
 
                     /**
-                     * Constructs a new CancelTrainingPipelineRequest.
+                     * Constructs a new CancelPipelineJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1.ICancelPipelineJobRequest);
 
-                    /** CancelTrainingPipelineRequest name. */
+                    /** CancelPipelineJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new CancelTrainingPipelineRequest instance using the specified properties.
+                     * Creates a new CancelPipelineJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CancelTrainingPipelineRequest instance
+                     * @returns CancelPipelineJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1.ICancelPipelineJobRequest): google.cloud.aiplatform.v1.CancelPipelineJobRequest;
 
                     /**
-                     * Encodes the specified CancelTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
-                     * @param message CancelTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified CancelPipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CancelPipelineJobRequest.verify|verify} messages.
+                     * @param message CancelPipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1.ICancelPipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CancelTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
-                     * @param message CancelTrainingPipelineRequest message or plain object to encode
+                     * Encodes the specified CancelPipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CancelPipelineJobRequest.verify|verify} messages.
+                     * @param message CancelPipelineJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ICancelPipelineJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer.
+                     * Decodes a CancelPipelineJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CancelTrainingPipelineRequest
+                     * @returns CancelPipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.CancelPipelineJobRequest;
 
                     /**
-                     * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a CancelPipelineJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CancelTrainingPipelineRequest
+                     * @returns CancelPipelineJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.CancelPipelineJobRequest;
 
                     /**
-                     * Verifies a CancelTrainingPipelineRequest message.
+                     * Verifies a CancelPipelineJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CancelTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CancelPipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CancelTrainingPipelineRequest
+                     * @returns CancelPipelineJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.CancelPipelineJobRequest;
 
                     /**
-                     * Creates a plain object from a CancelTrainingPipelineRequest message. Also converts values to other types if specified.
-                     * @param message CancelTrainingPipelineRequest
+                     * Creates a plain object from a CancelPipelineJobRequest message. Also converts values to other types if specified.
+                     * @param message CancelPipelineJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1.CancelPipelineJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CancelTrainingPipelineRequest to JSON.
+                     * Converts this CancelPipelineJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
@@ -23104,6 +25398,9 @@ export namespace google {
 
                                 /** AutoMlTablesInputs exportEvaluatedDataItemsConfig */
                                 exportEvaluatedDataItemsConfig?: (google.cloud.aiplatform.v1.schema.trainingjob.definition.IExportEvaluatedDataItemsConfig|null);
+
+                                /** AutoMlTablesInputs additionalExperiments */
+                                additionalExperiments?: (string[]|null);
                             }
 
                             /** Represents an AutoMlTablesInputs. */
@@ -23145,6 +25442,9 @@ export namespace google {
                                 /** AutoMlTablesInputs exportEvaluatedDataItemsConfig. */
                                 public exportEvaluatedDataItemsConfig?: (google.cloud.aiplatform.v1.schema.trainingjob.definition.IExportEvaluatedDataItemsConfig|null);
 
+                                /** AutoMlTablesInputs additionalExperiments. */
+                                public additionalExperiments: string[];
+
                                 /** AutoMlTablesInputs additionalOptimizationObjectiveConfig. */
                                 public additionalOptimizationObjectiveConfig?: ("optimizationObjectiveRecallValue"|"optimizationObjectivePrecisionValue");
 
@@ -25010,7 +27310,9 @@ export namespace google {
                                 enum ModelType {
                                     MODEL_TYPE_UNSPECIFIED = 0,
                                     CLOUD = 1,
-                                    MOBILE_VERSATILE_1 = 2
+                                    MOBILE_VERSATILE_1 = 2,
+                                    MOBILE_JETSON_VERSATILE_1 = 3,
+                                    MOBILE_CORAL_VERSATILE_1 = 4
                                 }
                             }
 
@@ -88290,6 +90592,108 @@ export namespace google {
              */
             public toJSON(): { [k: string]: any };
         }
+
+        /** Properties of a HttpBody. */
+        interface IHttpBody {
+
+            /** HttpBody contentType */
+            contentType?: (string|null);
+
+            /** HttpBody data */
+            data?: (Uint8Array|string|null);
+
+            /** HttpBody extensions */
+            extensions?: (google.protobuf.IAny[]|null);
+        }
+
+        /** Represents a HttpBody. */
+        class HttpBody implements IHttpBody {
+
+            /**
+             * Constructs a new HttpBody.
+             * @param [properties] Properties to set
+             */
+            constructor(properties?: google.api.IHttpBody);
+
+            /** HttpBody contentType. */
+            public contentType: string;
+
+            /** HttpBody data. */
+            public data: (Uint8Array|string);
+
+            /** HttpBody extensions. */
+            public extensions: google.protobuf.IAny[];
+
+            /**
+             * Creates a new HttpBody instance using the specified properties.
+             * @param [properties] Properties to set
+             * @returns HttpBody instance
+             */
+            public static create(properties?: google.api.IHttpBody): google.api.HttpBody;
+
+            /**
+             * Encodes the specified HttpBody message. Does not implicitly {@link google.api.HttpBody.verify|verify} messages.
+             * @param message HttpBody message or plain object to encode
+             * @param [writer] Writer to encode to
+             * @returns Writer
+             */
+            public static encode(message: google.api.IHttpBody, writer?: $protobuf.Writer): $protobuf.Writer;
+
+            /**
+             * Encodes the specified HttpBody message, length delimited. Does not implicitly {@link google.api.HttpBody.verify|verify} messages.
+             * @param message HttpBody message or plain object to encode
+             * @param [writer] Writer to encode to
+             * @returns Writer
+             */
+            public static encodeDelimited(message: google.api.IHttpBody, writer?: $protobuf.Writer): $protobuf.Writer;
+
+            /**
+             * Decodes a HttpBody message from the specified reader or buffer.
+             * @param reader Reader or buffer to decode from
+             * @param [length] Message length if known beforehand
+             * @returns HttpBody
+             * @throws {Error} If the payload is not a reader or valid buffer
+             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+             */
+            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.api.HttpBody;
+
+            /**
+             * Decodes a HttpBody message from the specified reader or buffer, length delimited.
+             * @param reader Reader or buffer to decode from
+             * @returns HttpBody
+             * @throws {Error} If the payload is not a reader or valid buffer
+             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+             */
+            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.api.HttpBody;
+
+            /**
+             * Verifies a HttpBody message.
+             * @param message Plain object to verify
+             * @returns `null` if valid, otherwise the reason why it is not
+             */
+            public static verify(message: { [k: string]: any }): (string|null);
+
+            /**
+             * Creates a HttpBody message from a plain object. Also converts values to their respective internal types.
+             * @param object Plain object
+             * @returns HttpBody
+             */
+            public static fromObject(object: { [k: string]: any }): google.api.HttpBody;
+
+            /**
+             * Creates a plain object from a HttpBody message. Also converts values to other types if specified.
+             * @param message HttpBody
+             * @param [options] Conversion options
+             * @returns Plain object
+             */
+            public static toObject(message: google.api.HttpBody, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+            /**
+             * Converts this HttpBody to JSON.
+             * @returns JSON object
+             */
+            public toJSON(): { [k: string]: any };
+        }
     }
 
     /** Namespace protobuf. */
diff --git a/packages/google-cloud-aiplatform/protos/protos.js b/packages/google-cloud-aiplatform/protos/protos.js
index 83ad2cdb2b4..333db4f9bac 100644
--- a/packages/google-cloud-aiplatform/protos/protos.js
+++ b/packages/google-cloud-aiplatform/protos/protos.js
@@ -76,8 +76,7 @@
                      * @property {number} NVIDIA_TESLA_V100=3 NVIDIA_TESLA_V100 value
                      * @property {number} NVIDIA_TESLA_P4=4 NVIDIA_TESLA_P4 value
                      * @property {number} NVIDIA_TESLA_T4=5 NVIDIA_TESLA_T4 value
-                     * @property {number} TPU_V2=6 TPU_V2 value
-                     * @property {number} TPU_V3=7 TPU_V3 value
+                     * @property {number} NVIDIA_TESLA_A100=8 NVIDIA_TESLA_A100 value
                      */
                     v1.AcceleratorType = (function() {
                         var valuesById = {}, values = Object.create(valuesById);
@@ -87,8 +86,7 @@
                         values[valuesById[3] = "NVIDIA_TESLA_V100"] = 3;
                         values[valuesById[4] = "NVIDIA_TESLA_P4"] = 4;
                         values[valuesById[5] = "NVIDIA_TESLA_T4"] = 5;
-                        values[valuesById[6] = "TPU_V2"] = 6;
-                        values[valuesById[7] = "TPU_V3"] = 7;
+                        values[valuesById[8] = "NVIDIA_TESLA_A100"] = 8;
                         return values;
                     })();
     
@@ -1032,44 +1030,31 @@
                         return AnnotationSpec;
                     })();
     
-                    v1.BatchPredictionJob = (function() {
+                    v1.Artifact = (function() {
     
                         /**
-                         * Properties of a BatchPredictionJob.
+                         * Properties of an Artifact.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface IBatchPredictionJob
-                         * @property {string|null} [name] BatchPredictionJob name
-                         * @property {string|null} [displayName] BatchPredictionJob displayName
-                         * @property {string|null} [model] BatchPredictionJob model
-                         * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IInputConfig|null} [inputConfig] BatchPredictionJob inputConfig
-                         * @property {google.protobuf.IValue|null} [modelParameters] BatchPredictionJob modelParameters
-                         * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputConfig|null} [outputConfig] BatchPredictionJob outputConfig
-                         * @property {google.cloud.aiplatform.v1.IBatchDedicatedResources|null} [dedicatedResources] BatchPredictionJob dedicatedResources
-                         * @property {google.cloud.aiplatform.v1.IManualBatchTuningParameters|null} [manualBatchTuningParameters] BatchPredictionJob manualBatchTuningParameters
-                         * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputInfo|null} [outputInfo] BatchPredictionJob outputInfo
-                         * @property {google.cloud.aiplatform.v1.JobState|null} [state] BatchPredictionJob state
-                         * @property {google.rpc.IStatus|null} [error] BatchPredictionJob error
-                         * @property {Array.<google.rpc.IStatus>|null} [partialFailures] BatchPredictionJob partialFailures
-                         * @property {google.cloud.aiplatform.v1.IResourcesConsumed|null} [resourcesConsumed] BatchPredictionJob resourcesConsumed
-                         * @property {google.cloud.aiplatform.v1.ICompletionStats|null} [completionStats] BatchPredictionJob completionStats
-                         * @property {google.protobuf.ITimestamp|null} [createTime] BatchPredictionJob createTime
-                         * @property {google.protobuf.ITimestamp|null} [startTime] BatchPredictionJob startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] BatchPredictionJob endTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] BatchPredictionJob updateTime
-                         * @property {Object.<string,string>|null} [labels] BatchPredictionJob labels
-                         * @property {google.cloud.aiplatform.v1.IEncryptionSpec|null} [encryptionSpec] BatchPredictionJob encryptionSpec
+                         * @interface IArtifact
+                         * @property {string|null} [name] Artifact name
+                         * @property {string|null} [displayName] Artifact displayName
+                         * @property {string|null} [uri] Artifact uri
+                         * @property {string|null} [etag] Artifact etag
+                         * @property {Object.<string,string>|null} [labels] Artifact labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Artifact createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Artifact updateTime
+                         * @property {google.cloud.aiplatform.v1.Artifact.State|null} [state] Artifact state
                          */
     
                         /**
-                         * Constructs a new BatchPredictionJob.
+                         * Constructs a new Artifact.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a BatchPredictionJob.
-                         * @implements IBatchPredictionJob
+                         * @classdesc Represents an Artifact.
+                         * @implements IArtifact
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IArtifact=} [properties] Properties to set
                          */
-                        function BatchPredictionJob(properties) {
-                            this.partialFailures = [];
+                        function Artifact(properties) {
                             this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
@@ -1078,262 +1063,141 @@
                         }
     
                         /**
-                         * BatchPredictionJob name.
+                         * Artifact name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.name = "";
+                        Artifact.prototype.name = "";
     
                         /**
-                         * BatchPredictionJob displayName.
+                         * Artifact displayName.
                          * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.displayName = "";
-    
-                        /**
-                         * BatchPredictionJob model.
-                         * @member {string} model
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.model = "";
-    
-                        /**
-                         * BatchPredictionJob inputConfig.
-                         * @member {google.cloud.aiplatform.v1.BatchPredictionJob.IInputConfig|null|undefined} inputConfig
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.inputConfig = null;
-    
-                        /**
-                         * BatchPredictionJob modelParameters.
-                         * @member {google.protobuf.IValue|null|undefined} modelParameters
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.modelParameters = null;
-    
-                        /**
-                         * BatchPredictionJob outputConfig.
-                         * @member {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputConfig|null|undefined} outputConfig
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.outputConfig = null;
-    
-                        /**
-                         * BatchPredictionJob dedicatedResources.
-                         * @member {google.cloud.aiplatform.v1.IBatchDedicatedResources|null|undefined} dedicatedResources
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.dedicatedResources = null;
-    
-                        /**
-                         * BatchPredictionJob manualBatchTuningParameters.
-                         * @member {google.cloud.aiplatform.v1.IManualBatchTuningParameters|null|undefined} manualBatchTuningParameters
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.manualBatchTuningParameters = null;
-    
-                        /**
-                         * BatchPredictionJob outputInfo.
-                         * @member {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputInfo|null|undefined} outputInfo
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.outputInfo = null;
-    
-                        /**
-                         * BatchPredictionJob state.
-                         * @member {google.cloud.aiplatform.v1.JobState} state
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.state = 0;
-    
-                        /**
-                         * BatchPredictionJob error.
-                         * @member {google.rpc.IStatus|null|undefined} error
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.error = null;
+                        Artifact.prototype.displayName = "";
     
                         /**
-                         * BatchPredictionJob partialFailures.
-                         * @member {Array.<google.rpc.IStatus>} partialFailures
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * Artifact uri.
+                         * @member {string} uri
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.partialFailures = $util.emptyArray;
+                        Artifact.prototype.uri = "";
     
                         /**
-                         * BatchPredictionJob resourcesConsumed.
-                         * @member {google.cloud.aiplatform.v1.IResourcesConsumed|null|undefined} resourcesConsumed
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * Artifact etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.resourcesConsumed = null;
+                        Artifact.prototype.etag = "";
     
                         /**
-                         * BatchPredictionJob completionStats.
-                         * @member {google.cloud.aiplatform.v1.ICompletionStats|null|undefined} completionStats
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * Artifact labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.completionStats = null;
+                        Artifact.prototype.labels = $util.emptyObject;
     
                         /**
-                         * BatchPredictionJob createTime.
+                         * Artifact createTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.createTime = null;
-    
-                        /**
-                         * BatchPredictionJob startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.startTime = null;
-    
-                        /**
-                         * BatchPredictionJob endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.endTime = null;
+                        Artifact.prototype.createTime = null;
     
                         /**
-                         * BatchPredictionJob updateTime.
+                         * Artifact updateTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.updateTime = null;
-    
-                        /**
-                         * BatchPredictionJob labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
-                         * @instance
-                         */
-                        BatchPredictionJob.prototype.labels = $util.emptyObject;
+                        Artifact.prototype.updateTime = null;
     
                         /**
-                         * BatchPredictionJob encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * Artifact state.
+                         * @member {google.cloud.aiplatform.v1.Artifact.State} state
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @instance
                          */
-                        BatchPredictionJob.prototype.encryptionSpec = null;
+                        Artifact.prototype.state = 0;
     
                         /**
-                         * Creates a new BatchPredictionJob instance using the specified properties.
+                         * Creates a new Artifact instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.BatchPredictionJob} BatchPredictionJob instance
+                         * @param {google.cloud.aiplatform.v1.IArtifact=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.Artifact} Artifact instance
                          */
-                        BatchPredictionJob.create = function create(properties) {
-                            return new BatchPredictionJob(properties);
+                        Artifact.create = function create(properties) {
+                            return new Artifact(properties);
                         };
     
                         /**
-                         * Encodes the specified BatchPredictionJob message. Does not implicitly {@link google.cloud.aiplatform.v1.BatchPredictionJob.verify|verify} messages.
+                         * Encodes the specified Artifact message. Does not implicitly {@link google.cloud.aiplatform.v1.Artifact.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob} message BatchPredictionJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IArtifact} message Artifact message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchPredictionJob.encode = function encode(message, writer) {
+                        Artifact.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.model != null && Object.hasOwnProperty.call(message, "model"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.model);
-                            if (message.inputConfig != null && Object.hasOwnProperty.call(message, "inputConfig"))
-                                $root.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.encode(message.inputConfig, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.modelParameters != null && Object.hasOwnProperty.call(message, "modelParameters"))
-                                $root.google.protobuf.Value.encode(message.modelParameters, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.outputConfig != null && Object.hasOwnProperty.call(message, "outputConfig"))
-                                $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.encode(message.outputConfig, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.dedicatedResources != null && Object.hasOwnProperty.call(message, "dedicatedResources"))
-                                $root.google.cloud.aiplatform.v1.BatchDedicatedResources.encode(message.dedicatedResources, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.manualBatchTuningParameters != null && Object.hasOwnProperty.call(message, "manualBatchTuningParameters"))
-                                $root.google.cloud.aiplatform.v1.ManualBatchTuningParameters.encode(message.manualBatchTuningParameters, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.outputInfo != null && Object.hasOwnProperty.call(message, "outputInfo"))
-                                $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.encode(message.outputInfo, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 10, wireType 0 =*/80).int32(message.state);
-                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
-                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.partialFailures != null && message.partialFailures.length)
-                                for (var i = 0; i < message.partialFailures.length; ++i)
-                                    $root.google.rpc.Status.encode(message.partialFailures[i], writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
-                            if (message.resourcesConsumed != null && Object.hasOwnProperty.call(message, "resourcesConsumed"))
-                                $root.google.cloud.aiplatform.v1.ResourcesConsumed.encode(message.resourcesConsumed, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
-                            if (message.completionStats != null && Object.hasOwnProperty.call(message, "completionStats"))
-                                $root.google.cloud.aiplatform.v1.CompletionStats.encode(message.completionStats, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 16, wireType 2 =*/130).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 17, wireType 2 =*/138).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 18, wireType 2 =*/146).fork()).ldelim();
+                            if (message.uri != null && Object.hasOwnProperty.call(message, "uri"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.uri);
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.etag);
                             if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
                                 for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 19, wireType 2 =*/154).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 24, wireType 2 =*/194).fork()).ldelim();
+                                    writer.uint32(/* id 10, wireType 2 =*/82).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 13, wireType 0 =*/104).int32(message.state);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BatchPredictionJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.BatchPredictionJob.verify|verify} messages.
+                         * Encodes the specified Artifact message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Artifact.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob} message BatchPredictionJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IArtifact} message Artifact message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchPredictionJob.encodeDelimited = function encodeDelimited(message, writer) {
+                        Artifact.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BatchPredictionJob message from the specified reader or buffer.
+                         * Decodes an Artifact message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1.Artifact
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.BatchPredictionJob} BatchPredictionJob
+                         * @returns {google.cloud.aiplatform.v1.Artifact} Artifact
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchPredictionJob.decode = function decode(reader, length) {
+                        Artifact.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.BatchPredictionJob(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.Artifact(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -1343,57 +1207,884 @@
                                 case 2:
                                     message.displayName = reader.string();
                                     break;
-                                case 3:
-                                    message.model = reader.string();
-                                    break;
-                                case 4:
-                                    message.inputConfig = $root.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.modelParameters = $root.google.protobuf.Value.decode(reader, reader.uint32());
-                                    break;
                                 case 6:
-                                    message.outputConfig = $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 7:
-                                    message.dedicatedResources = $root.google.cloud.aiplatform.v1.BatchDedicatedResources.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.manualBatchTuningParameters = $root.google.cloud.aiplatform.v1.ManualBatchTuningParameters.decode(reader, reader.uint32());
+                                    message.uri = reader.string();
                                     break;
                                 case 9:
-                                    message.outputInfo = $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.decode(reader, reader.uint32());
+                                    message.etag = reader.string();
                                     break;
                                 case 10:
-                                    message.state = reader.int32();
-                                    break;
-                                case 11:
-                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
-                                    break;
-                                case 12:
-                                    if (!(message.partialFailures && message.partialFailures.length))
-                                        message.partialFailures = [];
-                                    message.partialFailures.push($root.google.rpc.Status.decode(reader, reader.uint32()));
-                                    break;
-                                case 13:
-                                    message.resourcesConsumed = $root.google.cloud.aiplatform.v1.ResourcesConsumed.decode(reader, reader.uint32());
-                                    break;
-                                case 14:
-                                    message.completionStats = $root.google.cloud.aiplatform.v1.CompletionStats.decode(reader, reader.uint32());
-                                    break;
-                                case 15:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 17:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 18:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 19:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 11:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 13:
+                                    message.state = reader.int32();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes an Artifact message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Artifact
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.Artifact} Artifact
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Artifact.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies an Artifact message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.Artifact
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Artifact.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.uri != null && message.hasOwnProperty("uri"))
+                                if (!$util.isString(message.uri))
+                                    return "uri: string expected";
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an Artifact message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.Artifact
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.Artifact} Artifact
+                         */
+                        Artifact.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.Artifact)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.Artifact();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.uri != null)
+                                message.uri = String(object.uri);
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Artifact.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Artifact.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Artifact.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "PENDING":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "LIVE":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from an Artifact message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.Artifact
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.Artifact} message Artifact
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Artifact.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.uri = "";
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.uri != null && message.hasOwnProperty("uri"))
+                                object.uri = message.uri;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1.Artifact.State[message.state] : message.state;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this Artifact to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.Artifact
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Artifact.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1.Artifact.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} PENDING=1 PENDING value
+                         * @property {number} LIVE=2 LIVE value
+                         */
+                        Artifact.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "PENDING"] = 1;
+                            values[valuesById[2] = "LIVE"] = 2;
+                            return values;
+                        })();
+    
+                        return Artifact;
+                    })();
+    
+                    v1.Value = (function() {
+    
+                        /**
+                         * Properties of a Value.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IValue
+                         * @property {number|Long|null} [intValue] Value intValue
+                         * @property {number|null} [doubleValue] Value doubleValue
+                         * @property {string|null} [stringValue] Value stringValue
+                         */
+    
+                        /**
+                         * Constructs a new Value.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a Value.
+                         * @implements IValue
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IValue=} [properties] Properties to set
+                         */
+                        function Value(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * Value intValue.
+                         * @member {number|Long|null|undefined} intValue
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @instance
+                         */
+                        Value.prototype.intValue = null;
+    
+                        /**
+                         * Value doubleValue.
+                         * @member {number|null|undefined} doubleValue
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @instance
+                         */
+                        Value.prototype.doubleValue = null;
+    
+                        /**
+                         * Value stringValue.
+                         * @member {string|null|undefined} stringValue
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @instance
+                         */
+                        Value.prototype.stringValue = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * Value value.
+                         * @member {"intValue"|"doubleValue"|"stringValue"|undefined} value
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @instance
+                         */
+                        Object.defineProperty(Value.prototype, "value", {
+                            get: $util.oneOfGetter($oneOfFields = ["intValue", "doubleValue", "stringValue"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new Value instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IValue=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.Value} Value instance
+                         */
+                        Value.create = function create(properties) {
+                            return new Value(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified Value message. Does not implicitly {@link google.cloud.aiplatform.v1.Value.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IValue} message Value message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Value.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.intValue != null && Object.hasOwnProperty.call(message, "intValue"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.intValue);
+                            if (message.doubleValue != null && Object.hasOwnProperty.call(message, "doubleValue"))
+                                writer.uint32(/* id 2, wireType 1 =*/17).double(message.doubleValue);
+                            if (message.stringValue != null && Object.hasOwnProperty.call(message, "stringValue"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.stringValue);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified Value message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Value.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IValue} message Value message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Value.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a Value message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.Value} Value
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Value.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.Value();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.intValue = reader.int64();
+                                    break;
+                                case 2:
+                                    message.doubleValue = reader.double();
+                                    break;
+                                case 3:
+                                    message.stringValue = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a Value message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.Value} Value
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Value.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a Value message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Value.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            var properties = {};
+                            if (message.intValue != null && message.hasOwnProperty("intValue")) {
+                                properties.value = 1;
+                                if (!$util.isInteger(message.intValue) && !(message.intValue && $util.isInteger(message.intValue.low) && $util.isInteger(message.intValue.high)))
+                                    return "intValue: integer|Long expected";
+                            }
+                            if (message.doubleValue != null && message.hasOwnProperty("doubleValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                if (typeof message.doubleValue !== "number")
+                                    return "doubleValue: number expected";
+                            }
+                            if (message.stringValue != null && message.hasOwnProperty("stringValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                if (!$util.isString(message.stringValue))
+                                    return "stringValue: string expected";
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a Value message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.Value} Value
+                         */
+                        Value.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.Value)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.Value();
+                            if (object.intValue != null)
+                                if ($util.Long)
+                                    (message.intValue = $util.Long.fromValue(object.intValue)).unsigned = false;
+                                else if (typeof object.intValue === "string")
+                                    message.intValue = parseInt(object.intValue, 10);
+                                else if (typeof object.intValue === "number")
+                                    message.intValue = object.intValue;
+                                else if (typeof object.intValue === "object")
+                                    message.intValue = new $util.LongBits(object.intValue.low >>> 0, object.intValue.high >>> 0).toNumber();
+                            if (object.doubleValue != null)
+                                message.doubleValue = Number(object.doubleValue);
+                            if (object.stringValue != null)
+                                message.stringValue = String(object.stringValue);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a Value message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.Value} message Value
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Value.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (message.intValue != null && message.hasOwnProperty("intValue")) {
+                                if (typeof message.intValue === "number")
+                                    object.intValue = options.longs === String ? String(message.intValue) : message.intValue;
+                                else
+                                    object.intValue = options.longs === String ? $util.Long.prototype.toString.call(message.intValue) : options.longs === Number ? new $util.LongBits(message.intValue.low >>> 0, message.intValue.high >>> 0).toNumber() : message.intValue;
+                                if (options.oneofs)
+                                    object.value = "intValue";
+                            }
+                            if (message.doubleValue != null && message.hasOwnProperty("doubleValue")) {
+                                object.doubleValue = options.json && !isFinite(message.doubleValue) ? String(message.doubleValue) : message.doubleValue;
+                                if (options.oneofs)
+                                    object.value = "doubleValue";
+                            }
+                            if (message.stringValue != null && message.hasOwnProperty("stringValue")) {
+                                object.stringValue = message.stringValue;
+                                if (options.oneofs)
+                                    object.value = "stringValue";
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this Value to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.Value
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Value.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return Value;
+                    })();
+    
+                    v1.BatchPredictionJob = (function() {
+    
+                        /**
+                         * Properties of a BatchPredictionJob.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IBatchPredictionJob
+                         * @property {string|null} [name] BatchPredictionJob name
+                         * @property {string|null} [displayName] BatchPredictionJob displayName
+                         * @property {string|null} [model] BatchPredictionJob model
+                         * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IInputConfig|null} [inputConfig] BatchPredictionJob inputConfig
+                         * @property {google.protobuf.IValue|null} [modelParameters] BatchPredictionJob modelParameters
+                         * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputConfig|null} [outputConfig] BatchPredictionJob outputConfig
+                         * @property {google.cloud.aiplatform.v1.IBatchDedicatedResources|null} [dedicatedResources] BatchPredictionJob dedicatedResources
+                         * @property {google.cloud.aiplatform.v1.IManualBatchTuningParameters|null} [manualBatchTuningParameters] BatchPredictionJob manualBatchTuningParameters
+                         * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputInfo|null} [outputInfo] BatchPredictionJob outputInfo
+                         * @property {google.cloud.aiplatform.v1.JobState|null} [state] BatchPredictionJob state
+                         * @property {google.rpc.IStatus|null} [error] BatchPredictionJob error
+                         * @property {Array.<google.rpc.IStatus>|null} [partialFailures] BatchPredictionJob partialFailures
+                         * @property {google.cloud.aiplatform.v1.IResourcesConsumed|null} [resourcesConsumed] BatchPredictionJob resourcesConsumed
+                         * @property {google.cloud.aiplatform.v1.ICompletionStats|null} [completionStats] BatchPredictionJob completionStats
+                         * @property {google.protobuf.ITimestamp|null} [createTime] BatchPredictionJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [startTime] BatchPredictionJob startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] BatchPredictionJob endTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] BatchPredictionJob updateTime
+                         * @property {Object.<string,string>|null} [labels] BatchPredictionJob labels
+                         * @property {google.cloud.aiplatform.v1.IEncryptionSpec|null} [encryptionSpec] BatchPredictionJob encryptionSpec
+                         */
+    
+                        /**
+                         * Constructs a new BatchPredictionJob.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a BatchPredictionJob.
+                         * @implements IBatchPredictionJob
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob=} [properties] Properties to set
+                         */
+                        function BatchPredictionJob(properties) {
+                            this.partialFailures = [];
+                            this.labels = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * BatchPredictionJob name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.name = "";
+    
+                        /**
+                         * BatchPredictionJob displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.displayName = "";
+    
+                        /**
+                         * BatchPredictionJob model.
+                         * @member {string} model
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.model = "";
+    
+                        /**
+                         * BatchPredictionJob inputConfig.
+                         * @member {google.cloud.aiplatform.v1.BatchPredictionJob.IInputConfig|null|undefined} inputConfig
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.inputConfig = null;
+    
+                        /**
+                         * BatchPredictionJob modelParameters.
+                         * @member {google.protobuf.IValue|null|undefined} modelParameters
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.modelParameters = null;
+    
+                        /**
+                         * BatchPredictionJob outputConfig.
+                         * @member {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputConfig|null|undefined} outputConfig
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.outputConfig = null;
+    
+                        /**
+                         * BatchPredictionJob dedicatedResources.
+                         * @member {google.cloud.aiplatform.v1.IBatchDedicatedResources|null|undefined} dedicatedResources
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.dedicatedResources = null;
+    
+                        /**
+                         * BatchPredictionJob manualBatchTuningParameters.
+                         * @member {google.cloud.aiplatform.v1.IManualBatchTuningParameters|null|undefined} manualBatchTuningParameters
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.manualBatchTuningParameters = null;
+    
+                        /**
+                         * BatchPredictionJob outputInfo.
+                         * @member {google.cloud.aiplatform.v1.BatchPredictionJob.IOutputInfo|null|undefined} outputInfo
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.outputInfo = null;
+    
+                        /**
+                         * BatchPredictionJob state.
+                         * @member {google.cloud.aiplatform.v1.JobState} state
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.state = 0;
+    
+                        /**
+                         * BatchPredictionJob error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.error = null;
+    
+                        /**
+                         * BatchPredictionJob partialFailures.
+                         * @member {Array.<google.rpc.IStatus>} partialFailures
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.partialFailures = $util.emptyArray;
+    
+                        /**
+                         * BatchPredictionJob resourcesConsumed.
+                         * @member {google.cloud.aiplatform.v1.IResourcesConsumed|null|undefined} resourcesConsumed
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.resourcesConsumed = null;
+    
+                        /**
+                         * BatchPredictionJob completionStats.
+                         * @member {google.cloud.aiplatform.v1.ICompletionStats|null|undefined} completionStats
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.completionStats = null;
+    
+                        /**
+                         * BatchPredictionJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.createTime = null;
+    
+                        /**
+                         * BatchPredictionJob startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.startTime = null;
+    
+                        /**
+                         * BatchPredictionJob endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.endTime = null;
+    
+                        /**
+                         * BatchPredictionJob updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.updateTime = null;
+    
+                        /**
+                         * BatchPredictionJob labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * BatchPredictionJob encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.encryptionSpec = null;
+    
+                        /**
+                         * Creates a new BatchPredictionJob instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.BatchPredictionJob} BatchPredictionJob instance
+                         */
+                        BatchPredictionJob.create = function create(properties) {
+                            return new BatchPredictionJob(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified BatchPredictionJob message. Does not implicitly {@link google.cloud.aiplatform.v1.BatchPredictionJob.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob} message BatchPredictionJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchPredictionJob.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.model != null && Object.hasOwnProperty.call(message, "model"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.model);
+                            if (message.inputConfig != null && Object.hasOwnProperty.call(message, "inputConfig"))
+                                $root.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.encode(message.inputConfig, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.modelParameters != null && Object.hasOwnProperty.call(message, "modelParameters"))
+                                $root.google.protobuf.Value.encode(message.modelParameters, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.outputConfig != null && Object.hasOwnProperty.call(message, "outputConfig"))
+                                $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.encode(message.outputConfig, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.dedicatedResources != null && Object.hasOwnProperty.call(message, "dedicatedResources"))
+                                $root.google.cloud.aiplatform.v1.BatchDedicatedResources.encode(message.dedicatedResources, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.manualBatchTuningParameters != null && Object.hasOwnProperty.call(message, "manualBatchTuningParameters"))
+                                $root.google.cloud.aiplatform.v1.ManualBatchTuningParameters.encode(message.manualBatchTuningParameters, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.outputInfo != null && Object.hasOwnProperty.call(message, "outputInfo"))
+                                $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.encode(message.outputInfo, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 10, wireType 0 =*/80).int32(message.state);
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.partialFailures != null && message.partialFailures.length)
+                                for (var i = 0; i < message.partialFailures.length; ++i)
+                                    $root.google.rpc.Status.encode(message.partialFailures[i], writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.resourcesConsumed != null && Object.hasOwnProperty.call(message, "resourcesConsumed"))
+                                $root.google.cloud.aiplatform.v1.ResourcesConsumed.encode(message.resourcesConsumed, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
+                            if (message.completionStats != null && Object.hasOwnProperty.call(message, "completionStats"))
+                                $root.google.cloud.aiplatform.v1.CompletionStats.encode(message.completionStats, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 16, wireType 2 =*/130).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 17, wireType 2 =*/138).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 18, wireType 2 =*/146).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 19, wireType 2 =*/154).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 24, wireType 2 =*/194).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified BatchPredictionJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.BatchPredictionJob.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchPredictionJob} message BatchPredictionJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchPredictionJob.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a BatchPredictionJob message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.BatchPredictionJob} BatchPredictionJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchPredictionJob.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.BatchPredictionJob(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 3:
+                                    message.model = reader.string();
+                                    break;
+                                case 4:
+                                    message.inputConfig = $root.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.modelParameters = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.outputConfig = $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.dedicatedResources = $root.google.cloud.aiplatform.v1.BatchDedicatedResources.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.manualBatchTuningParameters = $root.google.cloud.aiplatform.v1.ManualBatchTuningParameters.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.outputInfo = $root.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    message.state = reader.int32();
+                                    break;
+                                case 11:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    if (!(message.partialFailures && message.partialFailures.length))
+                                        message.partialFailures = [];
+                                    message.partialFailures.push($root.google.rpc.Status.decode(reader, reader.uint32()));
+                                    break;
+                                case 13:
+                                    message.resourcesConsumed = $root.google.cloud.aiplatform.v1.ResourcesConsumed.decode(reader, reader.uint32());
+                                    break;
+                                case 14:
+                                    message.completionStats = $root.google.cloud.aiplatform.v1.CompletionStats.decode(reader, reader.uint32());
+                                    break;
+                                case 15:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 17:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 18:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 19:
                                     if (message.labels === $util.emptyObject)
                                         message.labels = {};
                                     var end2 = reader.uint32() + reader.pos;
@@ -1505,6 +2196,7 @@
                                 case 6:
                                 case 7:
                                 case 8:
+                                case 9:
                                     break;
                                 }
                             if (message.error != null && message.hasOwnProperty("error")) {
@@ -1652,6 +2344,10 @@
                             case 8:
                                 message.state = 8;
                                 break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
                             }
                             if (object.error != null) {
                                 if (typeof object.error !== "object")
@@ -2355,6 +3051,7 @@
                              * @interface IOutputInfo
                              * @property {string|null} [gcsOutputDirectory] OutputInfo gcsOutputDirectory
                              * @property {string|null} [bigqueryOutputDataset] OutputInfo bigqueryOutputDataset
+                             * @property {string|null} [bigqueryOutputTable] OutputInfo bigqueryOutputTable
                              */
     
                             /**
@@ -2388,6 +3085,14 @@
                              */
                             OutputInfo.prototype.bigqueryOutputDataset = null;
     
+                            /**
+                             * OutputInfo bigqueryOutputTable.
+                             * @member {string} bigqueryOutputTable
+                             * @memberof google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo
+                             * @instance
+                             */
+                            OutputInfo.prototype.bigqueryOutputTable = "";
+    
                             // OneOf field names bound to virtual getters and setters
                             var $oneOfFields;
     
@@ -2430,6 +3135,8 @@
                                     writer.uint32(/* id 1, wireType 2 =*/10).string(message.gcsOutputDirectory);
                                 if (message.bigqueryOutputDataset != null && Object.hasOwnProperty.call(message, "bigqueryOutputDataset"))
                                     writer.uint32(/* id 2, wireType 2 =*/18).string(message.bigqueryOutputDataset);
+                                if (message.bigqueryOutputTable != null && Object.hasOwnProperty.call(message, "bigqueryOutputTable"))
+                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.bigqueryOutputTable);
                                 return writer;
                             };
     
@@ -2470,6 +3177,9 @@
                                     case 2:
                                         message.bigqueryOutputDataset = reader.string();
                                         break;
+                                    case 4:
+                                        message.bigqueryOutputTable = reader.string();
+                                        break;
                                     default:
                                         reader.skipType(tag & 7);
                                         break;
@@ -2518,6 +3228,9 @@
                                     if (!$util.isString(message.bigqueryOutputDataset))
                                         return "bigqueryOutputDataset: string expected";
                                 }
+                                if (message.bigqueryOutputTable != null && message.hasOwnProperty("bigqueryOutputTable"))
+                                    if (!$util.isString(message.bigqueryOutputTable))
+                                        return "bigqueryOutputTable: string expected";
                                 return null;
                             };
     
@@ -2537,6 +3250,8 @@
                                     message.gcsOutputDirectory = String(object.gcsOutputDirectory);
                                 if (object.bigqueryOutputDataset != null)
                                     message.bigqueryOutputDataset = String(object.bigqueryOutputDataset);
+                                if (object.bigqueryOutputTable != null)
+                                    message.bigqueryOutputTable = String(object.bigqueryOutputTable);
                                 return message;
                             };
     
@@ -2553,6 +3268,8 @@
                                 if (!options)
                                     options = {};
                                 var object = {};
+                                if (options.defaults)
+                                    object.bigqueryOutputTable = "";
                                 if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory")) {
                                     object.gcsOutputDirectory = message.gcsOutputDirectory;
                                     if (options.oneofs)
@@ -2563,6 +3280,8 @@
                                     if (options.oneofs)
                                         object.outputLocation = "bigqueryOutputDataset";
                                 }
+                                if (message.bigqueryOutputTable != null && message.hasOwnProperty("bigqueryOutputTable"))
+                                    object.bigqueryOutputTable = message.bigqueryOutputTable;
                                 return object;
                             };
     
@@ -4008,6 +4727,7 @@
                      * @property {number} JOB_STATE_CANCELLING=6 JOB_STATE_CANCELLING value
                      * @property {number} JOB_STATE_CANCELLED=7 JOB_STATE_CANCELLED value
                      * @property {number} JOB_STATE_PAUSED=8 JOB_STATE_PAUSED value
+                     * @property {number} JOB_STATE_EXPIRED=9 JOB_STATE_EXPIRED value
                      */
                     v1.JobState = (function() {
                         var valuesById = {}, values = Object.create(valuesById);
@@ -4020,6 +4740,7 @@
                         values[valuesById[6] = "JOB_STATE_CANCELLING"] = 6;
                         values[valuesById[7] = "JOB_STATE_CANCELLED"] = 7;
                         values[valuesById[8] = "JOB_STATE_PAUSED"] = 8;
+                        values[valuesById[9] = "JOB_STATE_EXPIRED"] = 9;
                         return values;
                     })();
     
@@ -4194,8 +4915,7 @@
                                 case 3:
                                 case 4:
                                 case 5:
-                                case 6:
-                                case 7:
+                                case 8:
                                     break;
                                 }
                             if (message.acceleratorCount != null && message.hasOwnProperty("acceleratorCount"))
@@ -4243,13 +4963,9 @@
                             case 5:
                                 message.acceleratorType = 5;
                                 break;
-                            case "TPU_V2":
-                            case 6:
-                                message.acceleratorType = 6;
-                                break;
-                            case "TPU_V3":
-                            case 7:
-                                message.acceleratorType = 7;
+                            case "NVIDIA_TESLA_A100":
+                            case 8:
+                                message.acceleratorType = 8;
                                 break;
                             }
                             if (object.acceleratorCount != null)
@@ -4307,6 +5023,7 @@
                          * @property {google.cloud.aiplatform.v1.IMachineSpec|null} [machineSpec] DedicatedResources machineSpec
                          * @property {number|null} [minReplicaCount] DedicatedResources minReplicaCount
                          * @property {number|null} [maxReplicaCount] DedicatedResources maxReplicaCount
+                         * @property {Array.<google.cloud.aiplatform.v1.IAutoscalingMetricSpec>|null} [autoscalingMetricSpecs] DedicatedResources autoscalingMetricSpecs
                          */
     
                         /**
@@ -4318,6 +5035,7 @@
                          * @param {google.cloud.aiplatform.v1.IDedicatedResources=} [properties] Properties to set
                          */
                         function DedicatedResources(properties) {
+                            this.autoscalingMetricSpecs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -4348,6 +5066,14 @@
                          */
                         DedicatedResources.prototype.maxReplicaCount = 0;
     
+                        /**
+                         * DedicatedResources autoscalingMetricSpecs.
+                         * @member {Array.<google.cloud.aiplatform.v1.IAutoscalingMetricSpec>} autoscalingMetricSpecs
+                         * @memberof google.cloud.aiplatform.v1.DedicatedResources
+                         * @instance
+                         */
+                        DedicatedResources.prototype.autoscalingMetricSpecs = $util.emptyArray;
+    
                         /**
                          * Creates a new DedicatedResources instance using the specified properties.
                          * @function create
@@ -4378,6 +5104,9 @@
                                 writer.uint32(/* id 2, wireType 0 =*/16).int32(message.minReplicaCount);
                             if (message.maxReplicaCount != null && Object.hasOwnProperty.call(message, "maxReplicaCount"))
                                 writer.uint32(/* id 3, wireType 0 =*/24).int32(message.maxReplicaCount);
+                            if (message.autoscalingMetricSpecs != null && message.autoscalingMetricSpecs.length)
+                                for (var i = 0; i < message.autoscalingMetricSpecs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec.encode(message.autoscalingMetricSpecs[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             return writer;
                         };
     
@@ -4421,6 +5150,11 @@
                                 case 3:
                                     message.maxReplicaCount = reader.int32();
                                     break;
+                                case 4:
+                                    if (!(message.autoscalingMetricSpecs && message.autoscalingMetricSpecs.length))
+                                        message.autoscalingMetricSpecs = [];
+                                    message.autoscalingMetricSpecs.push($root.google.cloud.aiplatform.v1.AutoscalingMetricSpec.decode(reader, reader.uint32()));
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -4467,6 +5201,15 @@
                             if (message.maxReplicaCount != null && message.hasOwnProperty("maxReplicaCount"))
                                 if (!$util.isInteger(message.maxReplicaCount))
                                     return "maxReplicaCount: integer expected";
+                            if (message.autoscalingMetricSpecs != null && message.hasOwnProperty("autoscalingMetricSpecs")) {
+                                if (!Array.isArray(message.autoscalingMetricSpecs))
+                                    return "autoscalingMetricSpecs: array expected";
+                                for (var i = 0; i < message.autoscalingMetricSpecs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec.verify(message.autoscalingMetricSpecs[i]);
+                                    if (error)
+                                        return "autoscalingMetricSpecs." + error;
+                                }
+                            }
                             return null;
                         };
     
@@ -4491,6 +5234,16 @@
                                 message.minReplicaCount = object.minReplicaCount | 0;
                             if (object.maxReplicaCount != null)
                                 message.maxReplicaCount = object.maxReplicaCount | 0;
+                            if (object.autoscalingMetricSpecs) {
+                                if (!Array.isArray(object.autoscalingMetricSpecs))
+                                    throw TypeError(".google.cloud.aiplatform.v1.DedicatedResources.autoscalingMetricSpecs: array expected");
+                                message.autoscalingMetricSpecs = [];
+                                for (var i = 0; i < object.autoscalingMetricSpecs.length; ++i) {
+                                    if (typeof object.autoscalingMetricSpecs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.DedicatedResources.autoscalingMetricSpecs: object expected");
+                                    message.autoscalingMetricSpecs[i] = $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec.fromObject(object.autoscalingMetricSpecs[i]);
+                                }
+                            }
                             return message;
                         };
     
@@ -4507,6 +5260,8 @@
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.autoscalingMetricSpecs = [];
                             if (options.defaults) {
                                 object.machineSpec = null;
                                 object.minReplicaCount = 0;
@@ -4518,6 +5273,11 @@
                                 object.minReplicaCount = message.minReplicaCount;
                             if (message.maxReplicaCount != null && message.hasOwnProperty("maxReplicaCount"))
                                 object.maxReplicaCount = message.maxReplicaCount;
+                            if (message.autoscalingMetricSpecs && message.autoscalingMetricSpecs.length) {
+                                object.autoscalingMetricSpecs = [];
+                                for (var j = 0; j < message.autoscalingMetricSpecs.length; ++j)
+                                    object.autoscalingMetricSpecs[j] = $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec.toObject(message.autoscalingMetricSpecs[j], options);
+                            }
                             return object;
                         };
     
@@ -5379,6 +6139,216 @@
                         return DiskSpec;
                     })();
     
+                    v1.AutoscalingMetricSpec = (function() {
+    
+                        /**
+                         * Properties of an AutoscalingMetricSpec.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IAutoscalingMetricSpec
+                         * @property {string|null} [metricName] AutoscalingMetricSpec metricName
+                         * @property {number|null} [target] AutoscalingMetricSpec target
+                         */
+    
+                        /**
+                         * Constructs a new AutoscalingMetricSpec.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents an AutoscalingMetricSpec.
+                         * @implements IAutoscalingMetricSpec
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IAutoscalingMetricSpec=} [properties] Properties to set
+                         */
+                        function AutoscalingMetricSpec(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * AutoscalingMetricSpec metricName.
+                         * @member {string} metricName
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @instance
+                         */
+                        AutoscalingMetricSpec.prototype.metricName = "";
+    
+                        /**
+                         * AutoscalingMetricSpec target.
+                         * @member {number} target
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @instance
+                         */
+                        AutoscalingMetricSpec.prototype.target = 0;
+    
+                        /**
+                         * Creates a new AutoscalingMetricSpec instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IAutoscalingMetricSpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.AutoscalingMetricSpec} AutoscalingMetricSpec instance
+                         */
+                        AutoscalingMetricSpec.create = function create(properties) {
+                            return new AutoscalingMetricSpec(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified AutoscalingMetricSpec message. Does not implicitly {@link google.cloud.aiplatform.v1.AutoscalingMetricSpec.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IAutoscalingMetricSpec} message AutoscalingMetricSpec message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        AutoscalingMetricSpec.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.metricName != null && Object.hasOwnProperty.call(message, "metricName"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.metricName);
+                            if (message.target != null && Object.hasOwnProperty.call(message, "target"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.target);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified AutoscalingMetricSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.AutoscalingMetricSpec.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IAutoscalingMetricSpec} message AutoscalingMetricSpec message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        AutoscalingMetricSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes an AutoscalingMetricSpec message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.AutoscalingMetricSpec} AutoscalingMetricSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        AutoscalingMetricSpec.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.metricName = reader.string();
+                                    break;
+                                case 2:
+                                    message.target = reader.int32();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes an AutoscalingMetricSpec message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.AutoscalingMetricSpec} AutoscalingMetricSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        AutoscalingMetricSpec.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies an AutoscalingMetricSpec message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        AutoscalingMetricSpec.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.metricName != null && message.hasOwnProperty("metricName"))
+                                if (!$util.isString(message.metricName))
+                                    return "metricName: string expected";
+                            if (message.target != null && message.hasOwnProperty("target"))
+                                if (!$util.isInteger(message.target))
+                                    return "target: integer expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an AutoscalingMetricSpec message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.AutoscalingMetricSpec} AutoscalingMetricSpec
+                         */
+                        AutoscalingMetricSpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.AutoscalingMetricSpec();
+                            if (object.metricName != null)
+                                message.metricName = String(object.metricName);
+                            if (object.target != null)
+                                message.target = object.target | 0;
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from an AutoscalingMetricSpec message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.AutoscalingMetricSpec} message AutoscalingMetricSpec
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        AutoscalingMetricSpec.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.metricName = "";
+                                object.target = 0;
+                            }
+                            if (message.metricName != null && message.hasOwnProperty("metricName"))
+                                object.metricName = message.metricName;
+                            if (message.target != null && message.hasOwnProperty("target"))
+                                object.target = message.target;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this AutoscalingMetricSpec to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.AutoscalingMetricSpec
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        AutoscalingMetricSpec.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return AutoscalingMetricSpec;
+                    })();
+    
                     v1.ManualBatchTuningParameters = (function() {
     
                         /**
@@ -5566,35 +6536,32 @@
                         return ManualBatchTuningParameters;
                     })();
     
-                    v1.CustomJob = (function() {
+                    v1.Context = (function() {
     
                         /**
-                         * Properties of a CustomJob.
+                         * Properties of a Context.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface ICustomJob
-                         * @property {string|null} [name] CustomJob name
-                         * @property {string|null} [displayName] CustomJob displayName
-                         * @property {google.cloud.aiplatform.v1.ICustomJobSpec|null} [jobSpec] CustomJob jobSpec
-                         * @property {google.cloud.aiplatform.v1.JobState|null} [state] CustomJob state
-                         * @property {google.protobuf.ITimestamp|null} [createTime] CustomJob createTime
-                         * @property {google.protobuf.ITimestamp|null} [startTime] CustomJob startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] CustomJob endTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] CustomJob updateTime
-                         * @property {google.rpc.IStatus|null} [error] CustomJob error
-                         * @property {Object.<string,string>|null} [labels] CustomJob labels
-                         * @property {google.cloud.aiplatform.v1.IEncryptionSpec|null} [encryptionSpec] CustomJob encryptionSpec
+                         * @interface IContext
+                         * @property {string|null} [name] Context name
+                         * @property {string|null} [displayName] Context displayName
+                         * @property {string|null} [etag] Context etag
+                         * @property {Object.<string,string>|null} [labels] Context labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Context createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Context updateTime
+                         * @property {Array.<string>|null} [parentContexts] Context parentContexts
                          */
     
                         /**
-                         * Constructs a new CustomJob.
+                         * Constructs a new Context.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a CustomJob.
-                         * @implements ICustomJob
+                         * @classdesc Represents a Context.
+                         * @implements IContext
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.ICustomJob=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IContext=} [properties] Properties to set
                          */
-                        function CustomJob(properties) {
+                        function Context(properties) {
                             this.labels = {};
+                            this.parentContexts = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -5602,171 +6569,132 @@
                         }
     
                         /**
-                         * CustomJob name.
+                         * Context name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.name = "";
+                        Context.prototype.name = "";
     
                         /**
-                         * CustomJob displayName.
+                         * Context displayName.
                          * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.displayName = "";
+                        Context.prototype.displayName = "";
     
                         /**
-                         * CustomJob jobSpec.
-                         * @member {google.cloud.aiplatform.v1.ICustomJobSpec|null|undefined} jobSpec
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * Context etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.jobSpec = null;
+                        Context.prototype.etag = "";
     
                         /**
-                         * CustomJob state.
-                         * @member {google.cloud.aiplatform.v1.JobState} state
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * Context labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.state = 0;
+                        Context.prototype.labels = $util.emptyObject;
     
                         /**
-                         * CustomJob createTime.
+                         * Context createTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.createTime = null;
-    
-                        /**
-                         * CustomJob startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
-                         * @instance
-                         */
-                        CustomJob.prototype.startTime = null;
-    
-                        /**
-                         * CustomJob endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
-                         * @instance
-                         */
-                        CustomJob.prototype.endTime = null;
+                        Context.prototype.createTime = null;
     
                         /**
-                         * CustomJob updateTime.
+                         * Context updateTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
-                         * @instance
-                         */
-                        CustomJob.prototype.updateTime = null;
-    
-                        /**
-                         * CustomJob error.
-                         * @member {google.rpc.IStatus|null|undefined} error
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
-                         * @instance
-                         */
-                        CustomJob.prototype.error = null;
-    
-                        /**
-                         * CustomJob labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.labels = $util.emptyObject;
+                        Context.prototype.updateTime = null;
     
                         /**
-                         * CustomJob encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * Context parentContexts.
+                         * @member {Array.<string>} parentContexts
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @instance
                          */
-                        CustomJob.prototype.encryptionSpec = null;
+                        Context.prototype.parentContexts = $util.emptyArray;
     
                         /**
-                         * Creates a new CustomJob instance using the specified properties.
+                         * Creates a new Context instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICustomJob=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.CustomJob} CustomJob instance
+                         * @param {google.cloud.aiplatform.v1.IContext=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.Context} Context instance
                          */
-                        CustomJob.create = function create(properties) {
-                            return new CustomJob(properties);
+                        Context.create = function create(properties) {
+                            return new Context(properties);
                         };
     
                         /**
-                         * Encodes the specified CustomJob message. Does not implicitly {@link google.cloud.aiplatform.v1.CustomJob.verify|verify} messages.
+                         * Encodes the specified Context message. Does not implicitly {@link google.cloud.aiplatform.v1.Context.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICustomJob} message CustomJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IContext} message Context message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CustomJob.encode = function encode(message, writer) {
+                        Context.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.jobSpec != null && Object.hasOwnProperty.call(message, "jobSpec"))
-                                $root.google.cloud.aiplatform.v1.CustomJobSpec.encode(message.jobSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.state);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
-                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
                             if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
                                 for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                                    writer.uint32(/* id 9, wireType 2 =*/74).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.parentContexts != null && message.parentContexts.length)
+                                for (var i = 0; i < message.parentContexts.length; ++i)
+                                    writer.uint32(/* id 12, wireType 2 =*/98).string(message.parentContexts[i]);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CustomJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CustomJob.verify|verify} messages.
+                         * Encodes the specified Context message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Context.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICustomJob} message CustomJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IContext} message Context message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CustomJob.encodeDelimited = function encodeDelimited(message, writer) {
+                        Context.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CustomJob message from the specified reader or buffer.
+                         * Decodes a Context message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1.Context
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.CustomJob} CustomJob
+                         * @returns {google.cloud.aiplatform.v1.Context} Context
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CustomJob.decode = function decode(reader, length) {
+                        Context.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CustomJob(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.Context(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -5776,28 +6704,453 @@
                                 case 2:
                                     message.displayName = reader.string();
                                     break;
-                                case 4:
-                                    message.jobSpec = $root.google.cloud.aiplatform.v1.CustomJobSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.state = reader.int32();
-                                    break;
-                                case 6:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 7:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
                                 case 8:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.etag = reader.string();
                                     break;
                                 case 9:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 10:
-                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
-                                    break;
-                                case 11:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 10:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    if (!(message.parentContexts && message.parentContexts.length))
+                                        message.parentContexts = [];
+                                    message.parentContexts.push(reader.string());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a Context message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Context
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.Context} Context
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Context.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a Context message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.Context
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Context.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.parentContexts != null && message.hasOwnProperty("parentContexts")) {
+                                if (!Array.isArray(message.parentContexts))
+                                    return "parentContexts: array expected";
+                                for (var i = 0; i < message.parentContexts.length; ++i)
+                                    if (!$util.isString(message.parentContexts[i]))
+                                        return "parentContexts: string[] expected";
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a Context message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.Context
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.Context} Context
+                         */
+                        Context.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.Context)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.Context();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Context.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Context.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Context.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.parentContexts) {
+                                if (!Array.isArray(object.parentContexts))
+                                    throw TypeError(".google.cloud.aiplatform.v1.Context.parentContexts: array expected");
+                                message.parentContexts = [];
+                                for (var i = 0; i < object.parentContexts.length; ++i)
+                                    message.parentContexts[i] = String(object.parentContexts[i]);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a Context message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.Context
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.Context} message Context
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Context.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.parentContexts = [];
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.parentContexts && message.parentContexts.length) {
+                                object.parentContexts = [];
+                                for (var j = 0; j < message.parentContexts.length; ++j)
+                                    object.parentContexts[j] = message.parentContexts[j];
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this Context to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.Context
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Context.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return Context;
+                    })();
+    
+                    v1.CustomJob = (function() {
+    
+                        /**
+                         * Properties of a CustomJob.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface ICustomJob
+                         * @property {string|null} [name] CustomJob name
+                         * @property {string|null} [displayName] CustomJob displayName
+                         * @property {google.cloud.aiplatform.v1.ICustomJobSpec|null} [jobSpec] CustomJob jobSpec
+                         * @property {google.cloud.aiplatform.v1.JobState|null} [state] CustomJob state
+                         * @property {google.protobuf.ITimestamp|null} [createTime] CustomJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [startTime] CustomJob startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] CustomJob endTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] CustomJob updateTime
+                         * @property {google.rpc.IStatus|null} [error] CustomJob error
+                         * @property {Object.<string,string>|null} [labels] CustomJob labels
+                         * @property {google.cloud.aiplatform.v1.IEncryptionSpec|null} [encryptionSpec] CustomJob encryptionSpec
+                         */
+    
+                        /**
+                         * Constructs a new CustomJob.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a CustomJob.
+                         * @implements ICustomJob
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.ICustomJob=} [properties] Properties to set
+                         */
+                        function CustomJob(properties) {
+                            this.labels = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * CustomJob name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.name = "";
+    
+                        /**
+                         * CustomJob displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.displayName = "";
+    
+                        /**
+                         * CustomJob jobSpec.
+                         * @member {google.cloud.aiplatform.v1.ICustomJobSpec|null|undefined} jobSpec
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.jobSpec = null;
+    
+                        /**
+                         * CustomJob state.
+                         * @member {google.cloud.aiplatform.v1.JobState} state
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.state = 0;
+    
+                        /**
+                         * CustomJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.createTime = null;
+    
+                        /**
+                         * CustomJob startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.startTime = null;
+    
+                        /**
+                         * CustomJob endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.endTime = null;
+    
+                        /**
+                         * CustomJob updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.updateTime = null;
+    
+                        /**
+                         * CustomJob error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.error = null;
+    
+                        /**
+                         * CustomJob labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * CustomJob encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @instance
+                         */
+                        CustomJob.prototype.encryptionSpec = null;
+    
+                        /**
+                         * Creates a new CustomJob instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICustomJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.CustomJob} CustomJob instance
+                         */
+                        CustomJob.create = function create(properties) {
+                            return new CustomJob(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified CustomJob message. Does not implicitly {@link google.cloud.aiplatform.v1.CustomJob.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICustomJob} message CustomJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CustomJob.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.jobSpec != null && Object.hasOwnProperty.call(message, "jobSpec"))
+                                $root.google.cloud.aiplatform.v1.CustomJobSpec.encode(message.jobSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.state);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified CustomJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CustomJob.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICustomJob} message CustomJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CustomJob.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a CustomJob message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.CustomJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.CustomJob} CustomJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CustomJob.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CustomJob(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 4:
+                                    message.jobSpec = $root.google.cloud.aiplatform.v1.CustomJobSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.state = reader.int32();
+                                    break;
+                                case 6:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
                                     if (message.labels === $util.emptyObject)
                                         message.labels = {};
                                     var end2 = reader.uint32() + reader.pos;
@@ -5881,6 +7234,7 @@
                                 case 6:
                                 case 7:
                                 case 8:
+                                case 9:
                                     break;
                                 }
                             if (message.createTime != null && message.hasOwnProperty("createTime")) {
@@ -5982,6 +7336,10 @@
                             case 8:
                                 message.state = 8;
                                 break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
                             }
                             if (object.createTime != null) {
                                 if (typeof object.createTime !== "object")
@@ -8617,6 +9975,7 @@
                                 case 6:
                                 case 7:
                                 case 8:
+                                case 9:
                                     break;
                                 }
                             if (message.labelingProgress != null && message.hasOwnProperty("labelingProgress"))
@@ -8748,6 +10107,10 @@
                             case 8:
                                 message.state = 8;
                                 break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
                             }
                             if (object.labelingProgress != null)
                                 message.labelingProgress = object.labelingProgress | 0;
@@ -23912,6 +25275,434 @@
                         return UndeployModelOperationMetadata;
                     })();
     
+                    v1.Execution = (function() {
+    
+                        /**
+                         * Properties of an Execution.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IExecution
+                         * @property {string|null} [name] Execution name
+                         * @property {string|null} [displayName] Execution displayName
+                         * @property {google.cloud.aiplatform.v1.Execution.State|null} [state] Execution state
+                         * @property {string|null} [etag] Execution etag
+                         * @property {Object.<string,string>|null} [labels] Execution labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Execution createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Execution updateTime
+                         */
+    
+                        /**
+                         * Constructs a new Execution.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents an Execution.
+                         * @implements IExecution
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IExecution=} [properties] Properties to set
+                         */
+                        function Execution(properties) {
+                            this.labels = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * Execution name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.name = "";
+    
+                        /**
+                         * Execution displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.displayName = "";
+    
+                        /**
+                         * Execution state.
+                         * @member {google.cloud.aiplatform.v1.Execution.State} state
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.state = 0;
+    
+                        /**
+                         * Execution etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.etag = "";
+    
+                        /**
+                         * Execution labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Execution createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.createTime = null;
+    
+                        /**
+                         * Execution updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.updateTime = null;
+    
+                        /**
+                         * Creates a new Execution instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExecution=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.Execution} Execution instance
+                         */
+                        Execution.create = function create(properties) {
+                            return new Execution(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified Execution message. Does not implicitly {@link google.cloud.aiplatform.v1.Execution.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExecution} message Execution message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Execution.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.state);
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 10, wireType 2 =*/82).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified Execution message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Execution.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExecution} message Execution message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Execution.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes an Execution message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.Execution} Execution
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Execution.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.Execution(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 6:
+                                    message.state = reader.int32();
+                                    break;
+                                case 9:
+                                    message.etag = reader.string();
+                                    break;
+                                case 10:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 11:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes an Execution message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.Execution} Execution
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Execution.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies an Execution message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Execution.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                    break;
+                                }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an Execution message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.Execution} Execution
+                         */
+                        Execution.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.Execution)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.Execution();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "NEW":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "RUNNING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "COMPLETE":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "FAILED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "CACHED":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "CANCELLED":
+                            case 6:
+                                message.state = 6;
+                                break;
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Execution.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Execution.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Execution.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from an Execution message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.Execution} message Execution
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Execution.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1.Execution.State[message.state] : message.state;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this Execution to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.Execution
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Execution.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1.Execution.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} NEW=1 NEW value
+                         * @property {number} RUNNING=2 RUNNING value
+                         * @property {number} COMPLETE=3 COMPLETE value
+                         * @property {number} FAILED=4 FAILED value
+                         * @property {number} CACHED=5 CACHED value
+                         * @property {number} CANCELLED=6 CANCELLED value
+                         */
+                        Execution.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "NEW"] = 1;
+                            values[valuesById[2] = "RUNNING"] = 2;
+                            values[valuesById[3] = "COMPLETE"] = 3;
+                            values[valuesById[4] = "FAILED"] = 4;
+                            values[valuesById[5] = "CACHED"] = 5;
+                            values[valuesById[6] = "CANCELLED"] = 6;
+                            return values;
+                        })();
+    
+                        return Execution;
+                    })();
+    
                     v1.HyperparameterTuningJob = (function() {
     
                         /**
@@ -24324,6 +26115,7 @@
                                 case 6:
                                 case 7:
                                 case 8:
+                                case 9:
                                     break;
                                 }
                             if (message.createTime != null && message.hasOwnProperty("createTime")) {
@@ -24446,6 +26238,10 @@
                             case 8:
                                 message.state = 8;
                                 break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
                             }
                             if (object.createTime != null) {
                                 if (typeof object.createTime !== "object")
@@ -24582,12 +26378,16 @@
                          * Properties of a Trial.
                          * @memberof google.cloud.aiplatform.v1
                          * @interface ITrial
+                         * @property {string|null} [name] Trial name
                          * @property {string|null} [id] Trial id
                          * @property {google.cloud.aiplatform.v1.Trial.State|null} [state] Trial state
                          * @property {Array.<google.cloud.aiplatform.v1.Trial.IParameter>|null} [parameters] Trial parameters
                          * @property {google.cloud.aiplatform.v1.IMeasurement|null} [finalMeasurement] Trial finalMeasurement
+                         * @property {Array.<google.cloud.aiplatform.v1.IMeasurement>|null} [measurements] Trial measurements
                          * @property {google.protobuf.ITimestamp|null} [startTime] Trial startTime
                          * @property {google.protobuf.ITimestamp|null} [endTime] Trial endTime
+                         * @property {string|null} [clientId] Trial clientId
+                         * @property {string|null} [infeasibleReason] Trial infeasibleReason
                          * @property {string|null} [customJob] Trial customJob
                          */
     
@@ -24601,12 +26401,21 @@
                          */
                         function Trial(properties) {
                             this.parameters = [];
+                            this.measurements = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
                                         this[keys[i]] = properties[keys[i]];
                         }
     
+                        /**
+                         * Trial name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.name = "";
+    
                         /**
                          * Trial id.
                          * @member {string} id
@@ -24639,6 +26448,14 @@
                          */
                         Trial.prototype.finalMeasurement = null;
     
+                        /**
+                         * Trial measurements.
+                         * @member {Array.<google.cloud.aiplatform.v1.IMeasurement>} measurements
+                         * @memberof google.cloud.aiplatform.v1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.measurements = $util.emptyArray;
+    
                         /**
                          * Trial startTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} startTime
@@ -24655,6 +26472,22 @@
                          */
                         Trial.prototype.endTime = null;
     
+                        /**
+                         * Trial clientId.
+                         * @member {string} clientId
+                         * @memberof google.cloud.aiplatform.v1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.clientId = "";
+    
+                        /**
+                         * Trial infeasibleReason.
+                         * @member {string} infeasibleReason
+                         * @memberof google.cloud.aiplatform.v1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.infeasibleReason = "";
+    
                         /**
                          * Trial customJob.
                          * @member {string} customJob
@@ -24687,6 +26520,8 @@
                         Trial.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             if (message.id != null && Object.hasOwnProperty.call(message, "id"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.id);
                             if (message.state != null && Object.hasOwnProperty.call(message, "state"))
@@ -24696,10 +26531,17 @@
                                     $root.google.cloud.aiplatform.v1.Trial.Parameter.encode(message.parameters[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             if (message.finalMeasurement != null && Object.hasOwnProperty.call(message, "finalMeasurement"))
                                 $root.google.cloud.aiplatform.v1.Measurement.encode(message.finalMeasurement, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.measurements != null && message.measurements.length)
+                                for (var i = 0; i < message.measurements.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.Measurement.encode(message.measurements[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
                             if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
                                 $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
                             if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
                                 $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.clientId != null && Object.hasOwnProperty.call(message, "clientId"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.clientId);
+                            if (message.infeasibleReason != null && Object.hasOwnProperty.call(message, "infeasibleReason"))
+                                writer.uint32(/* id 10, wireType 2 =*/82).string(message.infeasibleReason);
                             if (message.customJob != null && Object.hasOwnProperty.call(message, "customJob"))
                                 writer.uint32(/* id 11, wireType 2 =*/90).string(message.customJob);
                             return writer;
@@ -24736,6 +26578,9 @@
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
                                 case 2:
                                     message.id = reader.string();
                                     break;
@@ -24750,12 +26595,23 @@
                                 case 5:
                                     message.finalMeasurement = $root.google.cloud.aiplatform.v1.Measurement.decode(reader, reader.uint32());
                                     break;
+                                case 6:
+                                    if (!(message.measurements && message.measurements.length))
+                                        message.measurements = [];
+                                    message.measurements.push($root.google.cloud.aiplatform.v1.Measurement.decode(reader, reader.uint32()));
+                                    break;
                                 case 7:
                                     message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 8:
                                     message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
+                                case 9:
+                                    message.clientId = reader.string();
+                                    break;
+                                case 10:
+                                    message.infeasibleReason = reader.string();
+                                    break;
                                 case 11:
                                     message.customJob = reader.string();
                                     break;
@@ -24794,6 +26650,9 @@
                         Trial.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             if (message.id != null && message.hasOwnProperty("id"))
                                 if (!$util.isString(message.id))
                                     return "id: string expected";
@@ -24823,6 +26682,15 @@
                                 if (error)
                                     return "finalMeasurement." + error;
                             }
+                            if (message.measurements != null && message.hasOwnProperty("measurements")) {
+                                if (!Array.isArray(message.measurements))
+                                    return "measurements: array expected";
+                                for (var i = 0; i < message.measurements.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.Measurement.verify(message.measurements[i]);
+                                    if (error)
+                                        return "measurements." + error;
+                                }
+                            }
                             if (message.startTime != null && message.hasOwnProperty("startTime")) {
                                 var error = $root.google.protobuf.Timestamp.verify(message.startTime);
                                 if (error)
@@ -24833,6 +26701,12 @@
                                 if (error)
                                     return "endTime." + error;
                             }
+                            if (message.clientId != null && message.hasOwnProperty("clientId"))
+                                if (!$util.isString(message.clientId))
+                                    return "clientId: string expected";
+                            if (message.infeasibleReason != null && message.hasOwnProperty("infeasibleReason"))
+                                if (!$util.isString(message.infeasibleReason))
+                                    return "infeasibleReason: string expected";
                             if (message.customJob != null && message.hasOwnProperty("customJob"))
                                 if (!$util.isString(message.customJob))
                                     return "customJob: string expected";
@@ -24851,6 +26725,8 @@
                             if (object instanceof $root.google.cloud.aiplatform.v1.Trial)
                                 return object;
                             var message = new $root.google.cloud.aiplatform.v1.Trial();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             if (object.id != null)
                                 message.id = String(object.id);
                             switch (object.state) {
@@ -24894,6 +26770,16 @@
                                     throw TypeError(".google.cloud.aiplatform.v1.Trial.finalMeasurement: object expected");
                                 message.finalMeasurement = $root.google.cloud.aiplatform.v1.Measurement.fromObject(object.finalMeasurement);
                             }
+                            if (object.measurements) {
+                                if (!Array.isArray(object.measurements))
+                                    throw TypeError(".google.cloud.aiplatform.v1.Trial.measurements: array expected");
+                                message.measurements = [];
+                                for (var i = 0; i < object.measurements.length; ++i) {
+                                    if (typeof object.measurements[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.Trial.measurements: object expected");
+                                    message.measurements[i] = $root.google.cloud.aiplatform.v1.Measurement.fromObject(object.measurements[i]);
+                                }
+                            }
                             if (object.startTime != null) {
                                 if (typeof object.startTime !== "object")
                                     throw TypeError(".google.cloud.aiplatform.v1.Trial.startTime: object expected");
@@ -24904,6 +26790,10 @@
                                     throw TypeError(".google.cloud.aiplatform.v1.Trial.endTime: object expected");
                                 message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
                             }
+                            if (object.clientId != null)
+                                message.clientId = String(object.clientId);
+                            if (object.infeasibleReason != null)
+                                message.infeasibleReason = String(object.infeasibleReason);
                             if (object.customJob != null)
                                 message.customJob = String(object.customJob);
                             return message;
@@ -24922,16 +26812,23 @@
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
+                            if (options.arrays || options.defaults) {
                                 object.parameters = [];
+                                object.measurements = [];
+                            }
                             if (options.defaults) {
+                                object.name = "";
                                 object.id = "";
                                 object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
                                 object.finalMeasurement = null;
                                 object.startTime = null;
                                 object.endTime = null;
+                                object.clientId = "";
+                                object.infeasibleReason = "";
                                 object.customJob = "";
                             }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             if (message.id != null && message.hasOwnProperty("id"))
                                 object.id = message.id;
                             if (message.state != null && message.hasOwnProperty("state"))
@@ -24943,10 +26840,19 @@
                             }
                             if (message.finalMeasurement != null && message.hasOwnProperty("finalMeasurement"))
                                 object.finalMeasurement = $root.google.cloud.aiplatform.v1.Measurement.toObject(message.finalMeasurement, options);
+                            if (message.measurements && message.measurements.length) {
+                                object.measurements = [];
+                                for (var j = 0; j < message.measurements.length; ++j)
+                                    object.measurements[j] = $root.google.cloud.aiplatform.v1.Measurement.toObject(message.measurements[j], options);
+                            }
                             if (message.startTime != null && message.hasOwnProperty("startTime"))
                                 object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
                             if (message.endTime != null && message.hasOwnProperty("endTime"))
                                 object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.clientId != null && message.hasOwnProperty("clientId"))
+                                object.clientId = message.clientId;
+                            if (message.infeasibleReason != null && message.hasOwnProperty("infeasibleReason"))
+                                object.infeasibleReason = message.infeasibleReason;
                             if (message.customJob != null && message.hasOwnProperty("customJob"))
                                 object.customJob = message.customJob;
                             return object;
@@ -26249,6 +28155,7 @@
                                  * @interface IDoubleValueSpec
                                  * @property {number|null} [minValue] DoubleValueSpec minValue
                                  * @property {number|null} [maxValue] DoubleValueSpec maxValue
+                                 * @property {number|null} [defaultValue] DoubleValueSpec defaultValue
                                  */
     
                                 /**
@@ -26282,6 +28189,28 @@
                                  */
                                 DoubleValueSpec.prototype.maxValue = 0;
     
+                                /**
+                                 * DoubleValueSpec defaultValue.
+                                 * @member {number|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 */
+                                DoubleValueSpec.prototype.defaultValue = null;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * DoubleValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(DoubleValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
                                 /**
                                  * Creates a new DoubleValueSpec instance using the specified properties.
                                  * @function create
@@ -26310,6 +28239,8 @@
                                         writer.uint32(/* id 1, wireType 1 =*/9).double(message.minValue);
                                     if (message.maxValue != null && Object.hasOwnProperty.call(message, "maxValue"))
                                         writer.uint32(/* id 2, wireType 1 =*/17).double(message.maxValue);
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 4, wireType 1 =*/33).double(message.defaultValue);
                                     return writer;
                                 };
     
@@ -26350,6 +28281,9 @@
                                         case 2:
                                             message.maxValue = reader.double();
                                             break;
+                                        case 4:
+                                            message.defaultValue = reader.double();
+                                            break;
                                         default:
                                             reader.skipType(tag & 7);
                                             break;
@@ -26385,12 +28319,18 @@
                                 DoubleValueSpec.verify = function verify(message) {
                                     if (typeof message !== "object" || message === null)
                                         return "object expected";
+                                    var properties = {};
                                     if (message.minValue != null && message.hasOwnProperty("minValue"))
                                         if (typeof message.minValue !== "number")
                                             return "minValue: number expected";
                                     if (message.maxValue != null && message.hasOwnProperty("maxValue"))
                                         if (typeof message.maxValue !== "number")
                                             return "maxValue: number expected";
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (typeof message.defaultValue !== "number")
+                                            return "defaultValue: number expected";
+                                    }
                                     return null;
                                 };
     
@@ -26410,6 +28350,8 @@
                                         message.minValue = Number(object.minValue);
                                     if (object.maxValue != null)
                                         message.maxValue = Number(object.maxValue);
+                                    if (object.defaultValue != null)
+                                        message.defaultValue = Number(object.defaultValue);
                                     return message;
                                 };
     
@@ -26434,6 +28376,11 @@
                                         object.minValue = options.json && !isFinite(message.minValue) ? String(message.minValue) : message.minValue;
                                     if (message.maxValue != null && message.hasOwnProperty("maxValue"))
                                         object.maxValue = options.json && !isFinite(message.maxValue) ? String(message.maxValue) : message.maxValue;
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        object.defaultValue = options.json && !isFinite(message.defaultValue) ? String(message.defaultValue) : message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
                                     return object;
                                 };
     
@@ -26459,6 +28406,7 @@
                                  * @interface IIntegerValueSpec
                                  * @property {number|Long|null} [minValue] IntegerValueSpec minValue
                                  * @property {number|Long|null} [maxValue] IntegerValueSpec maxValue
+                                 * @property {number|Long|null} [defaultValue] IntegerValueSpec defaultValue
                                  */
     
                                 /**
@@ -26492,6 +28440,28 @@
                                  */
                                 IntegerValueSpec.prototype.maxValue = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
+                                /**
+                                 * IntegerValueSpec defaultValue.
+                                 * @member {number|Long|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 */
+                                IntegerValueSpec.prototype.defaultValue = null;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * IntegerValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(IntegerValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
                                 /**
                                  * Creates a new IntegerValueSpec instance using the specified properties.
                                  * @function create
@@ -26520,6 +28490,8 @@
                                         writer.uint32(/* id 1, wireType 0 =*/8).int64(message.minValue);
                                     if (message.maxValue != null && Object.hasOwnProperty.call(message, "maxValue"))
                                         writer.uint32(/* id 2, wireType 0 =*/16).int64(message.maxValue);
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 4, wireType 0 =*/32).int64(message.defaultValue);
                                     return writer;
                                 };
     
@@ -26560,6 +28532,9 @@
                                         case 2:
                                             message.maxValue = reader.int64();
                                             break;
+                                        case 4:
+                                            message.defaultValue = reader.int64();
+                                            break;
                                         default:
                                             reader.skipType(tag & 7);
                                             break;
@@ -26595,12 +28570,18 @@
                                 IntegerValueSpec.verify = function verify(message) {
                                     if (typeof message !== "object" || message === null)
                                         return "object expected";
+                                    var properties = {};
                                     if (message.minValue != null && message.hasOwnProperty("minValue"))
                                         if (!$util.isInteger(message.minValue) && !(message.minValue && $util.isInteger(message.minValue.low) && $util.isInteger(message.minValue.high)))
                                             return "minValue: integer|Long expected";
                                     if (message.maxValue != null && message.hasOwnProperty("maxValue"))
                                         if (!$util.isInteger(message.maxValue) && !(message.maxValue && $util.isInteger(message.maxValue.low) && $util.isInteger(message.maxValue.high)))
                                             return "maxValue: integer|Long expected";
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (!$util.isInteger(message.defaultValue) && !(message.defaultValue && $util.isInteger(message.defaultValue.low) && $util.isInteger(message.defaultValue.high)))
+                                            return "defaultValue: integer|Long expected";
+                                    }
                                     return null;
                                 };
     
@@ -26634,6 +28615,15 @@
                                             message.maxValue = object.maxValue;
                                         else if (typeof object.maxValue === "object")
                                             message.maxValue = new $util.LongBits(object.maxValue.low >>> 0, object.maxValue.high >>> 0).toNumber();
+                                    if (object.defaultValue != null)
+                                        if ($util.Long)
+                                            (message.defaultValue = $util.Long.fromValue(object.defaultValue)).unsigned = false;
+                                        else if (typeof object.defaultValue === "string")
+                                            message.defaultValue = parseInt(object.defaultValue, 10);
+                                        else if (typeof object.defaultValue === "number")
+                                            message.defaultValue = object.defaultValue;
+                                        else if (typeof object.defaultValue === "object")
+                                            message.defaultValue = new $util.LongBits(object.defaultValue.low >>> 0, object.defaultValue.high >>> 0).toNumber();
                                     return message;
                                 };
     
@@ -26672,6 +28662,14 @@
                                             object.maxValue = options.longs === String ? String(message.maxValue) : message.maxValue;
                                         else
                                             object.maxValue = options.longs === String ? $util.Long.prototype.toString.call(message.maxValue) : options.longs === Number ? new $util.LongBits(message.maxValue.low >>> 0, message.maxValue.high >>> 0).toNumber() : message.maxValue;
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        if (typeof message.defaultValue === "number")
+                                            object.defaultValue = options.longs === String ? String(message.defaultValue) : message.defaultValue;
+                                        else
+                                            object.defaultValue = options.longs === String ? $util.Long.prototype.toString.call(message.defaultValue) : options.longs === Number ? new $util.LongBits(message.defaultValue.low >>> 0, message.defaultValue.high >>> 0).toNumber() : message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
                                     return object;
                                 };
     
@@ -26696,6 +28694,7 @@
                                  * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec
                                  * @interface ICategoricalValueSpec
                                  * @property {Array.<string>|null} [values] CategoricalValueSpec values
+                                 * @property {string|null} [defaultValue] CategoricalValueSpec defaultValue
                                  */
     
                                 /**
@@ -26722,6 +28721,28 @@
                                  */
                                 CategoricalValueSpec.prototype.values = $util.emptyArray;
     
+                                /**
+                                 * CategoricalValueSpec defaultValue.
+                                 * @member {string|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @instance
+                                 */
+                                CategoricalValueSpec.prototype.defaultValue = null;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * CategoricalValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(CategoricalValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
                                 /**
                                  * Creates a new CategoricalValueSpec instance using the specified properties.
                                  * @function create
@@ -26749,6 +28770,8 @@
                                     if (message.values != null && message.values.length)
                                         for (var i = 0; i < message.values.length; ++i)
                                             writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 3, wireType 2 =*/26).string(message.defaultValue);
                                     return writer;
                                 };
     
@@ -26788,6 +28811,9 @@
                                                 message.values = [];
                                             message.values.push(reader.string());
                                             break;
+                                        case 3:
+                                            message.defaultValue = reader.string();
+                                            break;
                                         default:
                                             reader.skipType(tag & 7);
                                             break;
@@ -26823,6 +28849,7 @@
                                 CategoricalValueSpec.verify = function verify(message) {
                                     if (typeof message !== "object" || message === null)
                                         return "object expected";
+                                    var properties = {};
                                     if (message.values != null && message.hasOwnProperty("values")) {
                                         if (!Array.isArray(message.values))
                                             return "values: array expected";
@@ -26830,6 +28857,11 @@
                                             if (!$util.isString(message.values[i]))
                                                 return "values: string[] expected";
                                     }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (!$util.isString(message.defaultValue))
+                                            return "defaultValue: string expected";
+                                    }
                                     return null;
                                 };
     
@@ -26852,6 +28884,8 @@
                                         for (var i = 0; i < object.values.length; ++i)
                                             message.values[i] = String(object.values[i]);
                                     }
+                                    if (object.defaultValue != null)
+                                        message.defaultValue = String(object.defaultValue);
                                     return message;
                                 };
     
@@ -26875,6 +28909,11 @@
                                         for (var j = 0; j < message.values.length; ++j)
                                             object.values[j] = message.values[j];
                                     }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        object.defaultValue = message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
                                     return object;
                                 };
     
@@ -26899,6 +28938,7 @@
                                  * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec
                                  * @interface IDiscreteValueSpec
                                  * @property {Array.<number>|null} [values] DiscreteValueSpec values
+                                 * @property {number|null} [defaultValue] DiscreteValueSpec defaultValue
                                  */
     
                                 /**
@@ -26925,6 +28965,28 @@
                                  */
                                 DiscreteValueSpec.prototype.values = $util.emptyArray;
     
+                                /**
+                                 * DiscreteValueSpec defaultValue.
+                                 * @member {number|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @instance
+                                 */
+                                DiscreteValueSpec.prototype.defaultValue = null;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * DiscreteValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(DiscreteValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
                                 /**
                                  * Creates a new DiscreteValueSpec instance using the specified properties.
                                  * @function create
@@ -26955,6 +29017,8 @@
                                             writer.double(message.values[i]);
                                         writer.ldelim();
                                     }
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 3, wireType 1 =*/25).double(message.defaultValue);
                                     return writer;
                                 };
     
@@ -26999,6 +29063,9 @@
                                             } else
                                                 message.values.push(reader.double());
                                             break;
+                                        case 3:
+                                            message.defaultValue = reader.double();
+                                            break;
                                         default:
                                             reader.skipType(tag & 7);
                                             break;
@@ -27034,6 +29101,7 @@
                                 DiscreteValueSpec.verify = function verify(message) {
                                     if (typeof message !== "object" || message === null)
                                         return "object expected";
+                                    var properties = {};
                                     if (message.values != null && message.hasOwnProperty("values")) {
                                         if (!Array.isArray(message.values))
                                             return "values: array expected";
@@ -27041,6 +29109,11 @@
                                             if (typeof message.values[i] !== "number")
                                                 return "values: number[] expected";
                                     }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (typeof message.defaultValue !== "number")
+                                            return "defaultValue: number expected";
+                                    }
                                     return null;
                                 };
     
@@ -27063,6 +29136,8 @@
                                         for (var i = 0; i < object.values.length; ++i)
                                             message.values[i] = Number(object.values[i]);
                                     }
+                                    if (object.defaultValue != null)
+                                        message.defaultValue = Number(object.defaultValue);
                                     return message;
                                 };
     
@@ -27086,6 +29161,11 @@
                                         for (var j = 0; j < message.values.length; ++j)
                                             object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
                                     }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        object.defaultValue = options.json && !isFinite(message.defaultValue) ? String(message.defaultValue) : message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
                                     return object;
                                 };
     
@@ -28123,6 +30203,7 @@
                          * Properties of a Measurement.
                          * @memberof google.cloud.aiplatform.v1
                          * @interface IMeasurement
+                         * @property {google.protobuf.IDuration|null} [elapsedDuration] Measurement elapsedDuration
                          * @property {number|Long|null} [stepCount] Measurement stepCount
                          * @property {Array.<google.cloud.aiplatform.v1.Measurement.IMetric>|null} [metrics] Measurement metrics
                          */
@@ -28143,6 +30224,14 @@
                                         this[keys[i]] = properties[keys[i]];
                         }
     
+                        /**
+                         * Measurement elapsedDuration.
+                         * @member {google.protobuf.IDuration|null|undefined} elapsedDuration
+                         * @memberof google.cloud.aiplatform.v1.Measurement
+                         * @instance
+                         */
+                        Measurement.prototype.elapsedDuration = null;
+    
                         /**
                          * Measurement stepCount.
                          * @member {number|Long} stepCount
@@ -28183,6 +30272,8 @@
                         Measurement.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.elapsedDuration != null && Object.hasOwnProperty.call(message, "elapsedDuration"))
+                                $root.google.protobuf.Duration.encode(message.elapsedDuration, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             if (message.stepCount != null && Object.hasOwnProperty.call(message, "stepCount"))
                                 writer.uint32(/* id 2, wireType 0 =*/16).int64(message.stepCount);
                             if (message.metrics != null && message.metrics.length)
@@ -28222,6 +30313,9 @@
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 1:
+                                    message.elapsedDuration = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    break;
                                 case 2:
                                     message.stepCount = reader.int64();
                                     break;
@@ -28265,6 +30359,11 @@
                         Measurement.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.elapsedDuration != null && message.hasOwnProperty("elapsedDuration")) {
+                                var error = $root.google.protobuf.Duration.verify(message.elapsedDuration);
+                                if (error)
+                                    return "elapsedDuration." + error;
+                            }
                             if (message.stepCount != null && message.hasOwnProperty("stepCount"))
                                 if (!$util.isInteger(message.stepCount) && !(message.stepCount && $util.isInteger(message.stepCount.low) && $util.isInteger(message.stepCount.high)))
                                     return "stepCount: integer|Long expected";
@@ -28292,6 +30391,11 @@
                             if (object instanceof $root.google.cloud.aiplatform.v1.Measurement)
                                 return object;
                             var message = new $root.google.cloud.aiplatform.v1.Measurement();
+                            if (object.elapsedDuration != null) {
+                                if (typeof object.elapsedDuration !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Measurement.elapsedDuration: object expected");
+                                message.elapsedDuration = $root.google.protobuf.Duration.fromObject(object.elapsedDuration);
+                            }
                             if (object.stepCount != null)
                                 if ($util.Long)
                                     (message.stepCount = $util.Long.fromValue(object.stepCount)).unsigned = false;
@@ -28329,12 +30433,16 @@
                             var object = {};
                             if (options.arrays || options.defaults)
                                 object.metrics = [];
-                            if (options.defaults)
+                            if (options.defaults) {
+                                object.elapsedDuration = null;
                                 if ($util.Long) {
                                     var long = new $util.Long(0, 0, false);
                                     object.stepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
                                 } else
                                     object.stepCount = options.longs === String ? "0" : 0;
+                            }
+                            if (message.elapsedDuration != null && message.hasOwnProperty("elapsedDuration"))
+                                object.elapsedDuration = $root.google.protobuf.Duration.toObject(message.elapsedDuration, options);
                             if (message.stepCount != null && message.hasOwnProperty("stepCount"))
                                 if (typeof message.stepCount === "number")
                                     object.stepCount = options.longs === String ? String(message.stepCount) : message.stepCount;
@@ -44463,225 +46571,4326 @@
                         return ListModelEvaluationSlicesResponse;
                     })();
     
-                    v1.PipelineService = (function() {
+                    v1.PipelineJob = (function() {
     
                         /**
-                         * Constructs a new PipelineService service.
+                         * Properties of a PipelineJob.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a PipelineService
-                         * @extends $protobuf.rpc.Service
+                         * @interface IPipelineJob
+                         * @property {string|null} [name] PipelineJob name
+                         * @property {string|null} [displayName] PipelineJob displayName
+                         * @property {google.protobuf.ITimestamp|null} [createTime] PipelineJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [startTime] PipelineJob startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] PipelineJob endTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] PipelineJob updateTime
+                         * @property {google.protobuf.IStruct|null} [pipelineSpec] PipelineJob pipelineSpec
+                         * @property {google.cloud.aiplatform.v1.PipelineState|null} [state] PipelineJob state
+                         * @property {google.cloud.aiplatform.v1.IPipelineJobDetail|null} [jobDetail] PipelineJob jobDetail
+                         * @property {google.rpc.IStatus|null} [error] PipelineJob error
+                         * @property {Object.<string,string>|null} [labels] PipelineJob labels
+                         * @property {google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig|null} [runtimeConfig] PipelineJob runtimeConfig
+                         * @property {google.cloud.aiplatform.v1.IEncryptionSpec|null} [encryptionSpec] PipelineJob encryptionSpec
+                         * @property {string|null} [serviceAccount] PipelineJob serviceAccount
+                         * @property {string|null} [network] PipelineJob network
+                         */
+    
+                        /**
+                         * Constructs a new PipelineJob.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a PipelineJob.
+                         * @implements IPipelineJob
                          * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @param {google.cloud.aiplatform.v1.IPipelineJob=} [properties] Properties to set
                          */
-                        function PipelineService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        function PipelineJob(properties) {
+                            this.labels = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
                         }
     
-                        (PipelineService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = PipelineService;
+                        /**
+                         * PipelineJob name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.name = "";
     
                         /**
-                         * Creates new PipelineService service using the specified rpc implementation.
+                         * PipelineJob displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.displayName = "";
+    
+                        /**
+                         * PipelineJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.createTime = null;
+    
+                        /**
+                         * PipelineJob startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.startTime = null;
+    
+                        /**
+                         * PipelineJob endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.endTime = null;
+    
+                        /**
+                         * PipelineJob updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.updateTime = null;
+    
+                        /**
+                         * PipelineJob pipelineSpec.
+                         * @member {google.protobuf.IStruct|null|undefined} pipelineSpec
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.pipelineSpec = null;
+    
+                        /**
+                         * PipelineJob state.
+                         * @member {google.cloud.aiplatform.v1.PipelineState} state
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.state = 0;
+    
+                        /**
+                         * PipelineJob jobDetail.
+                         * @member {google.cloud.aiplatform.v1.IPipelineJobDetail|null|undefined} jobDetail
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.jobDetail = null;
+    
+                        /**
+                         * PipelineJob error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.error = null;
+    
+                        /**
+                         * PipelineJob labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * PipelineJob runtimeConfig.
+                         * @member {google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig|null|undefined} runtimeConfig
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.runtimeConfig = null;
+    
+                        /**
+                         * PipelineJob encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.encryptionSpec = null;
+    
+                        /**
+                         * PipelineJob serviceAccount.
+                         * @member {string} serviceAccount
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.serviceAccount = "";
+    
+                        /**
+                         * PipelineJob network.
+                         * @member {string} network
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @instance
+                         */
+                        PipelineJob.prototype.network = "";
+    
+                        /**
+                         * Creates a new PipelineJob instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
                          * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {PipelineService} RPC service. Useful where requests and/or responses are streamed.
+                         * @param {google.cloud.aiplatform.v1.IPipelineJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.PipelineJob} PipelineJob instance
                          */
-                        PipelineService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        PipelineJob.create = function create(properties) {
+                            return new PipelineJob(properties);
                         };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#createTrainingPipeline}.
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @typedef CreateTrainingPipelineCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1.TrainingPipeline} [response] TrainingPipeline
+                         * Encodes the specified PipelineJob message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineJob} message PipelineJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
+                        PipelineJob.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.pipelineSpec != null && Object.hasOwnProperty.call(message, "pipelineSpec"))
+                                $root.google.protobuf.Struct.encode(message.pipelineSpec, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 8, wireType 0 =*/64).int32(message.state);
+                            if (message.jobDetail != null && Object.hasOwnProperty.call(message, "jobDetail"))
+                                $root.google.cloud.aiplatform.v1.PipelineJobDetail.encode(message.jobDetail, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.runtimeConfig != null && Object.hasOwnProperty.call(message, "runtimeConfig"))
+                                $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.encode(message.runtimeConfig, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 16, wireType 2 =*/130).fork()).ldelim();
+                            if (message.serviceAccount != null && Object.hasOwnProperty.call(message, "serviceAccount"))
+                                writer.uint32(/* id 17, wireType 2 =*/138).string(message.serviceAccount);
+                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
+                                writer.uint32(/* id 18, wireType 2 =*/146).string(message.network);
+                            return writer;
+                        };
     
                         /**
-                         * Calls CreateTrainingPipeline.
-                         * @function createTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} request CreateTrainingPipelineRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipelineCallback} callback Node-style callback called with the error, if any, and TrainingPipeline
-                         * @returns {undefined}
-                         * @variation 1
+                         * Encodes the specified PipelineJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineJob} message PipelineJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Object.defineProperty(PipelineService.prototype.createTrainingPipeline = function createTrainingPipeline(request, callback) {
-                            return this.rpcCall(createTrainingPipeline, $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest, $root.google.cloud.aiplatform.v1.TrainingPipeline, request, callback);
-                        }, "name", { value: "CreateTrainingPipeline" });
+                        PipelineJob.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Calls CreateTrainingPipeline.
-                         * @function createTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * Decodes a PipelineJob message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.PipelineJob} PipelineJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineJob.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineJob(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 3:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.pipelineSpec = $root.google.protobuf.Struct.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.state = reader.int32();
+                                    break;
+                                case 9:
+                                    message.jobDetail = $root.google.cloud.aiplatform.v1.PipelineJobDetail.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 12:
+                                    message.runtimeConfig = $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1.EncryptionSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 17:
+                                    message.serviceAccount = reader.string();
+                                    break;
+                                case 18:
+                                    message.network = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a PipelineJob message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.PipelineJob} PipelineJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineJob.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a PipelineJob message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        PipelineJob.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
+                            }
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                if (error)
+                                    return "endTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.pipelineSpec != null && message.hasOwnProperty("pipelineSpec")) {
+                                var error = $root.google.protobuf.Struct.verify(message.pipelineSpec);
+                                if (error)
+                                    return "pipelineSpec." + error;
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                case 7:
+                                case 8:
+                                    break;
+                                }
+                            if (message.jobDetail != null && message.hasOwnProperty("jobDetail")) {
+                                var error = $root.google.cloud.aiplatform.v1.PipelineJobDetail.verify(message.jobDetail);
+                                if (error)
+                                    return "jobDetail." + error;
+                            }
+                            if (message.error != null && message.hasOwnProperty("error")) {
+                                var error = $root.google.rpc.Status.verify(message.error);
+                                if (error)
+                                    return "error." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.runtimeConfig != null && message.hasOwnProperty("runtimeConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.verify(message.runtimeConfig);
+                                if (error)
+                                    return "runtimeConfig." + error;
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
+                            }
+                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
+                                if (!$util.isString(message.serviceAccount))
+                                    return "serviceAccount: string expected";
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                if (!$util.isString(message.network))
+                                    return "network: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a PipelineJob message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.PipelineJob} PipelineJob
+                         */
+                        PipelineJob.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.PipelineJob)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.PipelineJob();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                            }
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.pipelineSpec != null) {
+                                if (typeof object.pipelineSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.pipelineSpec: object expected");
+                                message.pipelineSpec = $root.google.protobuf.Struct.fromObject(object.pipelineSpec);
+                            }
+                            switch (object.state) {
+                            case "PIPELINE_STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "PIPELINE_STATE_QUEUED":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "PIPELINE_STATE_PENDING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "PIPELINE_STATE_RUNNING":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "PIPELINE_STATE_SUCCEEDED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "PIPELINE_STATE_FAILED":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "PIPELINE_STATE_CANCELLING":
+                            case 6:
+                                message.state = 6;
+                                break;
+                            case "PIPELINE_STATE_CANCELLED":
+                            case 7:
+                                message.state = 7;
+                                break;
+                            case "PIPELINE_STATE_PAUSED":
+                            case 8:
+                                message.state = 8;
+                                break;
+                            }
+                            if (object.jobDetail != null) {
+                                if (typeof object.jobDetail !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.jobDetail: object expected");
+                                message.jobDetail = $root.google.cloud.aiplatform.v1.PipelineJobDetail.fromObject(object.jobDetail);
+                            }
+                            if (object.error != null) {
+                                if (typeof object.error !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.error: object expected");
+                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.runtimeConfig != null) {
+                                if (typeof object.runtimeConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.runtimeConfig: object expected");
+                                message.runtimeConfig = $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.fromObject(object.runtimeConfig);
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            }
+                            if (object.serviceAccount != null)
+                                message.serviceAccount = String(object.serviceAccount);
+                            if (object.network != null)
+                                message.network = String(object.network);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a PipelineJob message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.PipelineJob} message PipelineJob
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        PipelineJob.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.createTime = null;
+                                object.startTime = null;
+                                object.endTime = null;
+                                object.updateTime = null;
+                                object.pipelineSpec = null;
+                                object.state = options.enums === String ? "PIPELINE_STATE_UNSPECIFIED" : 0;
+                                object.jobDetail = null;
+                                object.error = null;
+                                object.runtimeConfig = null;
+                                object.encryptionSpec = null;
+                                object.serviceAccount = "";
+                                object.network = "";
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.pipelineSpec != null && message.hasOwnProperty("pipelineSpec"))
+                                object.pipelineSpec = $root.google.protobuf.Struct.toObject(message.pipelineSpec, options);
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1.PipelineState[message.state] : message.state;
+                            if (message.jobDetail != null && message.hasOwnProperty("jobDetail"))
+                                object.jobDetail = $root.google.cloud.aiplatform.v1.PipelineJobDetail.toObject(message.jobDetail, options);
+                            if (message.error != null && message.hasOwnProperty("error"))
+                                object.error = $root.google.rpc.Status.toObject(message.error, options);
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.runtimeConfig != null && message.hasOwnProperty("runtimeConfig"))
+                                object.runtimeConfig = $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.toObject(message.runtimeConfig, options);
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
+                                object.serviceAccount = message.serviceAccount;
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                object.network = message.network;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this PipelineJob to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.PipelineJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} request CreateTrainingPipelineRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1.TrainingPipeline>} Promise
-                         * @variation 2
+                         * @returns {Object.<string,*>} JSON object
                          */
+                        PipelineJob.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        PipelineJob.RuntimeConfig = (function() {
+    
+                            /**
+                             * Properties of a RuntimeConfig.
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob
+                             * @interface IRuntimeConfig
+                             * @property {Object.<string,google.cloud.aiplatform.v1.IValue>|null} [parameters] RuntimeConfig parameters
+                             * @property {string|null} [gcsOutputDirectory] RuntimeConfig gcsOutputDirectory
+                             */
+    
+                            /**
+                             * Constructs a new RuntimeConfig.
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob
+                             * @classdesc Represents a RuntimeConfig.
+                             * @implements IRuntimeConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig=} [properties] Properties to set
+                             */
+                            function RuntimeConfig(properties) {
+                                this.parameters = {};
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * RuntimeConfig parameters.
+                             * @member {Object.<string,google.cloud.aiplatform.v1.IValue>} parameters
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @instance
+                             */
+                            RuntimeConfig.prototype.parameters = $util.emptyObject;
+    
+                            /**
+                             * RuntimeConfig gcsOutputDirectory.
+                             * @member {string} gcsOutputDirectory
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @instance
+                             */
+                            RuntimeConfig.prototype.gcsOutputDirectory = "";
+    
+                            /**
+                             * Creates a new RuntimeConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig} RuntimeConfig instance
+                             */
+                            RuntimeConfig.create = function create(properties) {
+                                return new RuntimeConfig(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified RuntimeConfig message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig} message RuntimeConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            RuntimeConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.parameters != null && Object.hasOwnProperty.call(message, "parameters"))
+                                    for (var keys = Object.keys(message.parameters), i = 0; i < keys.length; ++i) {
+                                        writer.uint32(/* id 1, wireType 2 =*/10).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                        $root.google.cloud.aiplatform.v1.Value.encode(message.parameters[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                    }
+                                if (message.gcsOutputDirectory != null && Object.hasOwnProperty.call(message, "gcsOutputDirectory"))
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.gcsOutputDirectory);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified RuntimeConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineJob.IRuntimeConfig} message RuntimeConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            RuntimeConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a RuntimeConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig} RuntimeConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            RuntimeConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig(), key, value;
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        if (message.parameters === $util.emptyObject)
+                                            message.parameters = {};
+                                        var end2 = reader.uint32() + reader.pos;
+                                        key = "";
+                                        value = null;
+                                        while (reader.pos < end2) {
+                                            var tag2 = reader.uint32();
+                                            switch (tag2 >>> 3) {
+                                            case 1:
+                                                key = reader.string();
+                                                break;
+                                            case 2:
+                                                value = $root.google.cloud.aiplatform.v1.Value.decode(reader, reader.uint32());
+                                                break;
+                                            default:
+                                                reader.skipType(tag2 & 7);
+                                                break;
+                                            }
+                                        }
+                                        message.parameters[key] = value;
+                                        break;
+                                    case 2:
+                                        message.gcsOutputDirectory = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a RuntimeConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig} RuntimeConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            RuntimeConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a RuntimeConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            RuntimeConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.parameters != null && message.hasOwnProperty("parameters")) {
+                                    if (!$util.isObject(message.parameters))
+                                        return "parameters: object expected";
+                                    var key = Object.keys(message.parameters);
+                                    for (var i = 0; i < key.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1.Value.verify(message.parameters[key[i]]);
+                                        if (error)
+                                            return "parameters." + error;
+                                    }
+                                }
+                                if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory"))
+                                    if (!$util.isString(message.gcsOutputDirectory))
+                                        return "gcsOutputDirectory: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a RuntimeConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig} RuntimeConfig
+                             */
+                            RuntimeConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig();
+                                if (object.parameters) {
+                                    if (typeof object.parameters !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameters: object expected");
+                                    message.parameters = {};
+                                    for (var keys = Object.keys(object.parameters), i = 0; i < keys.length; ++i) {
+                                        if (typeof object.parameters[keys[i]] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameters: object expected");
+                                        message.parameters[keys[i]] = $root.google.cloud.aiplatform.v1.Value.fromObject(object.parameters[keys[i]]);
+                                    }
+                                }
+                                if (object.gcsOutputDirectory != null)
+                                    message.gcsOutputDirectory = String(object.gcsOutputDirectory);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a RuntimeConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig} message RuntimeConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            RuntimeConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.objects || options.defaults)
+                                    object.parameters = {};
+                                if (options.defaults)
+                                    object.gcsOutputDirectory = "";
+                                var keys2;
+                                if (message.parameters && (keys2 = Object.keys(message.parameters)).length) {
+                                    object.parameters = {};
+                                    for (var j = 0; j < keys2.length; ++j)
+                                        object.parameters[keys2[j]] = $root.google.cloud.aiplatform.v1.Value.toObject(message.parameters[keys2[j]], options);
+                                }
+                                if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory"))
+                                    object.gcsOutputDirectory = message.gcsOutputDirectory;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this RuntimeConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            RuntimeConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return RuntimeConfig;
+                        })();
+    
+                        return PipelineJob;
+                    })();
+    
+                    v1.PipelineJobDetail = (function() {
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#getTrainingPipeline}.
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @typedef GetTrainingPipelineCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1.TrainingPipeline} [response] TrainingPipeline
+                         * Properties of a PipelineJobDetail.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IPipelineJobDetail
+                         * @property {google.cloud.aiplatform.v1.IContext|null} [pipelineContext] PipelineJobDetail pipelineContext
+                         * @property {google.cloud.aiplatform.v1.IContext|null} [pipelineRunContext] PipelineJobDetail pipelineRunContext
+                         * @property {Array.<google.cloud.aiplatform.v1.IPipelineTaskDetail>|null} [taskDetails] PipelineJobDetail taskDetails
+                         */
+    
+                        /**
+                         * Constructs a new PipelineJobDetail.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a PipelineJobDetail.
+                         * @implements IPipelineJobDetail
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IPipelineJobDetail=} [properties] Properties to set
+                         */
+                        function PipelineJobDetail(properties) {
+                            this.taskDetails = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * PipelineJobDetail pipelineContext.
+                         * @member {google.cloud.aiplatform.v1.IContext|null|undefined} pipelineContext
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @instance
+                         */
+                        PipelineJobDetail.prototype.pipelineContext = null;
+    
+                        /**
+                         * PipelineJobDetail pipelineRunContext.
+                         * @member {google.cloud.aiplatform.v1.IContext|null|undefined} pipelineRunContext
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @instance
+                         */
+                        PipelineJobDetail.prototype.pipelineRunContext = null;
+    
+                        /**
+                         * PipelineJobDetail taskDetails.
+                         * @member {Array.<google.cloud.aiplatform.v1.IPipelineTaskDetail>} taskDetails
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @instance
+                         */
+                        PipelineJobDetail.prototype.taskDetails = $util.emptyArray;
+    
+                        /**
+                         * Creates a new PipelineJobDetail instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineJobDetail=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.PipelineJobDetail} PipelineJobDetail instance
+                         */
+                        PipelineJobDetail.create = function create(properties) {
+                            return new PipelineJobDetail(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified PipelineJobDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJobDetail.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineJobDetail} message PipelineJobDetail message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PipelineJobDetail.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.pipelineContext != null && Object.hasOwnProperty.call(message, "pipelineContext"))
+                                $root.google.cloud.aiplatform.v1.Context.encode(message.pipelineContext, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.pipelineRunContext != null && Object.hasOwnProperty.call(message, "pipelineRunContext"))
+                                $root.google.cloud.aiplatform.v1.Context.encode(message.pipelineRunContext, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.taskDetails != null && message.taskDetails.length)
+                                for (var i = 0; i < message.taskDetails.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.PipelineTaskDetail.encode(message.taskDetails[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified PipelineJobDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineJobDetail.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineJobDetail} message PipelineJobDetail message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PipelineJobDetail.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a PipelineJobDetail message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.PipelineJobDetail} PipelineJobDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineJobDetail.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineJobDetail();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.pipelineContext = $root.google.cloud.aiplatform.v1.Context.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.pipelineRunContext = $root.google.cloud.aiplatform.v1.Context.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    if (!(message.taskDetails && message.taskDetails.length))
+                                        message.taskDetails = [];
+                                    message.taskDetails.push($root.google.cloud.aiplatform.v1.PipelineTaskDetail.decode(reader, reader.uint32()));
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a PipelineJobDetail message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.PipelineJobDetail} PipelineJobDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineJobDetail.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a PipelineJobDetail message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        PipelineJobDetail.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.pipelineContext != null && message.hasOwnProperty("pipelineContext")) {
+                                var error = $root.google.cloud.aiplatform.v1.Context.verify(message.pipelineContext);
+                                if (error)
+                                    return "pipelineContext." + error;
+                            }
+                            if (message.pipelineRunContext != null && message.hasOwnProperty("pipelineRunContext")) {
+                                var error = $root.google.cloud.aiplatform.v1.Context.verify(message.pipelineRunContext);
+                                if (error)
+                                    return "pipelineRunContext." + error;
+                            }
+                            if (message.taskDetails != null && message.hasOwnProperty("taskDetails")) {
+                                if (!Array.isArray(message.taskDetails))
+                                    return "taskDetails: array expected";
+                                for (var i = 0; i < message.taskDetails.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.verify(message.taskDetails[i]);
+                                    if (error)
+                                        return "taskDetails." + error;
+                                }
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a PipelineJobDetail message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.PipelineJobDetail} PipelineJobDetail
+                         */
+                        PipelineJobDetail.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.PipelineJobDetail)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.PipelineJobDetail();
+                            if (object.pipelineContext != null) {
+                                if (typeof object.pipelineContext !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJobDetail.pipelineContext: object expected");
+                                message.pipelineContext = $root.google.cloud.aiplatform.v1.Context.fromObject(object.pipelineContext);
+                            }
+                            if (object.pipelineRunContext != null) {
+                                if (typeof object.pipelineRunContext !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJobDetail.pipelineRunContext: object expected");
+                                message.pipelineRunContext = $root.google.cloud.aiplatform.v1.Context.fromObject(object.pipelineRunContext);
+                            }
+                            if (object.taskDetails) {
+                                if (!Array.isArray(object.taskDetails))
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineJobDetail.taskDetails: array expected");
+                                message.taskDetails = [];
+                                for (var i = 0; i < object.taskDetails.length; ++i) {
+                                    if (typeof object.taskDetails[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.PipelineJobDetail.taskDetails: object expected");
+                                    message.taskDetails[i] = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.fromObject(object.taskDetails[i]);
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a PipelineJobDetail message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.PipelineJobDetail} message PipelineJobDetail
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        PipelineJobDetail.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.taskDetails = [];
+                            if (options.defaults) {
+                                object.pipelineContext = null;
+                                object.pipelineRunContext = null;
+                            }
+                            if (message.pipelineContext != null && message.hasOwnProperty("pipelineContext"))
+                                object.pipelineContext = $root.google.cloud.aiplatform.v1.Context.toObject(message.pipelineContext, options);
+                            if (message.pipelineRunContext != null && message.hasOwnProperty("pipelineRunContext"))
+                                object.pipelineRunContext = $root.google.cloud.aiplatform.v1.Context.toObject(message.pipelineRunContext, options);
+                            if (message.taskDetails && message.taskDetails.length) {
+                                object.taskDetails = [];
+                                for (var j = 0; j < message.taskDetails.length; ++j)
+                                    object.taskDetails[j] = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.toObject(message.taskDetails[j], options);
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this PipelineJobDetail to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.PipelineJobDetail
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        PipelineJobDetail.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return PipelineJobDetail;
+                    })();
+    
+                    v1.PipelineTaskDetail = (function() {
+    
+                        /**
+                         * Properties of a PipelineTaskDetail.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IPipelineTaskDetail
+                         * @property {number|Long|null} [taskId] PipelineTaskDetail taskId
+                         * @property {number|Long|null} [parentTaskId] PipelineTaskDetail parentTaskId
+                         * @property {string|null} [taskName] PipelineTaskDetail taskName
+                         * @property {google.protobuf.ITimestamp|null} [createTime] PipelineTaskDetail createTime
+                         * @property {google.protobuf.ITimestamp|null} [startTime] PipelineTaskDetail startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] PipelineTaskDetail endTime
+                         * @property {google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail|null} [executorDetail] PipelineTaskDetail executorDetail
+                         * @property {google.cloud.aiplatform.v1.PipelineTaskDetail.State|null} [state] PipelineTaskDetail state
+                         * @property {google.cloud.aiplatform.v1.IExecution|null} [execution] PipelineTaskDetail execution
+                         * @property {google.rpc.IStatus|null} [error] PipelineTaskDetail error
+                         * @property {Object.<string,google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList>|null} [inputs] PipelineTaskDetail inputs
+                         * @property {Object.<string,google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList>|null} [outputs] PipelineTaskDetail outputs
+                         */
+    
+                        /**
+                         * Constructs a new PipelineTaskDetail.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a PipelineTaskDetail.
+                         * @implements IPipelineTaskDetail
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskDetail=} [properties] Properties to set
+                         */
+                        function PipelineTaskDetail(properties) {
+                            this.inputs = {};
+                            this.outputs = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * PipelineTaskDetail taskId.
+                         * @member {number|Long} taskId
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.taskId = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
+                        /**
+                         * PipelineTaskDetail parentTaskId.
+                         * @member {number|Long} parentTaskId
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.parentTaskId = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
+                        /**
+                         * PipelineTaskDetail taskName.
+                         * @member {string} taskName
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.taskName = "";
+    
+                        /**
+                         * PipelineTaskDetail createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.createTime = null;
+    
+                        /**
+                         * PipelineTaskDetail startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.startTime = null;
+    
+                        /**
+                         * PipelineTaskDetail endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.endTime = null;
+    
+                        /**
+                         * PipelineTaskDetail executorDetail.
+                         * @member {google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail|null|undefined} executorDetail
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.executorDetail = null;
+    
+                        /**
+                         * PipelineTaskDetail state.
+                         * @member {google.cloud.aiplatform.v1.PipelineTaskDetail.State} state
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.state = 0;
+    
+                        /**
+                         * PipelineTaskDetail execution.
+                         * @member {google.cloud.aiplatform.v1.IExecution|null|undefined} execution
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.execution = null;
+    
+                        /**
+                         * PipelineTaskDetail error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.error = null;
+    
+                        /**
+                         * PipelineTaskDetail inputs.
+                         * @member {Object.<string,google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList>} inputs
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.inputs = $util.emptyObject;
+    
+                        /**
+                         * PipelineTaskDetail outputs.
+                         * @member {Object.<string,google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList>} outputs
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         */
+                        PipelineTaskDetail.prototype.outputs = $util.emptyObject;
+    
+                        /**
+                         * Creates a new PipelineTaskDetail instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskDetail=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail} PipelineTaskDetail instance
+                         */
+                        PipelineTaskDetail.create = function create(properties) {
+                            return new PipelineTaskDetail(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified PipelineTaskDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskDetail} message PipelineTaskDetail message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PipelineTaskDetail.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.taskId != null && Object.hasOwnProperty.call(message, "taskId"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.taskId);
+                            if (message.taskName != null && Object.hasOwnProperty.call(message, "taskName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.taskName);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.executorDetail != null && Object.hasOwnProperty.call(message, "executorDetail"))
+                                $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.encode(message.executorDetail, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.state);
+                            if (message.execution != null && Object.hasOwnProperty.call(message, "execution"))
+                                $root.google.cloud.aiplatform.v1.Execution.encode(message.execution, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.inputs != null && Object.hasOwnProperty.call(message, "inputs"))
+                                for (var keys = Object.keys(message.inputs), i = 0; i < keys.length; ++i) {
+                                    writer.uint32(/* id 10, wireType 2 =*/82).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                    $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.encode(message.inputs[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                }
+                            if (message.outputs != null && Object.hasOwnProperty.call(message, "outputs"))
+                                for (var keys = Object.keys(message.outputs), i = 0; i < keys.length; ++i) {
+                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                    $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.encode(message.outputs[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                }
+                            if (message.parentTaskId != null && Object.hasOwnProperty.call(message, "parentTaskId"))
+                                writer.uint32(/* id 12, wireType 0 =*/96).int64(message.parentTaskId);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified PipelineTaskDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskDetail} message PipelineTaskDetail message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PipelineTaskDetail.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a PipelineTaskDetail message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail} PipelineTaskDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineTaskDetail.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineTaskDetail(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.taskId = reader.int64();
+                                    break;
+                                case 12:
+                                    message.parentTaskId = reader.int64();
+                                    break;
+                                case 2:
+                                    message.taskName = reader.string();
+                                    break;
+                                case 3:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.executorDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.state = reader.int32();
+                                    break;
+                                case 8:
+                                    message.execution = $root.google.cloud.aiplatform.v1.Execution.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    if (message.inputs === $util.emptyObject)
+                                        message.inputs = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = null;
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.decode(reader, reader.uint32());
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.inputs[key] = value;
+                                    break;
+                                case 11:
+                                    if (message.outputs === $util.emptyObject)
+                                        message.outputs = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = null;
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.decode(reader, reader.uint32());
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.outputs[key] = value;
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a PipelineTaskDetail message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail} PipelineTaskDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineTaskDetail.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a PipelineTaskDetail message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        PipelineTaskDetail.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.taskId != null && message.hasOwnProperty("taskId"))
+                                if (!$util.isInteger(message.taskId) && !(message.taskId && $util.isInteger(message.taskId.low) && $util.isInteger(message.taskId.high)))
+                                    return "taskId: integer|Long expected";
+                            if (message.parentTaskId != null && message.hasOwnProperty("parentTaskId"))
+                                if (!$util.isInteger(message.parentTaskId) && !(message.parentTaskId && $util.isInteger(message.parentTaskId.low) && $util.isInteger(message.parentTaskId.high)))
+                                    return "parentTaskId: integer|Long expected";
+                            if (message.taskName != null && message.hasOwnProperty("taskName"))
+                                if (!$util.isString(message.taskName))
+                                    return "taskName: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
+                            }
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                if (error)
+                                    return "endTime." + error;
+                            }
+                            if (message.executorDetail != null && message.hasOwnProperty("executorDetail")) {
+                                var error = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.verify(message.executorDetail);
+                                if (error)
+                                    return "executorDetail." + error;
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                case 7:
+                                case 8:
+                                case 9:
+                                    break;
+                                }
+                            if (message.execution != null && message.hasOwnProperty("execution")) {
+                                var error = $root.google.cloud.aiplatform.v1.Execution.verify(message.execution);
+                                if (error)
+                                    return "execution." + error;
+                            }
+                            if (message.error != null && message.hasOwnProperty("error")) {
+                                var error = $root.google.rpc.Status.verify(message.error);
+                                if (error)
+                                    return "error." + error;
+                            }
+                            if (message.inputs != null && message.hasOwnProperty("inputs")) {
+                                if (!$util.isObject(message.inputs))
+                                    return "inputs: object expected";
+                                var key = Object.keys(message.inputs);
+                                for (var i = 0; i < key.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.verify(message.inputs[key[i]]);
+                                    if (error)
+                                        return "inputs." + error;
+                                }
+                            }
+                            if (message.outputs != null && message.hasOwnProperty("outputs")) {
+                                if (!$util.isObject(message.outputs))
+                                    return "outputs: object expected";
+                                var key = Object.keys(message.outputs);
+                                for (var i = 0; i < key.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.verify(message.outputs[key[i]]);
+                                    if (error)
+                                        return "outputs." + error;
+                                }
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a PipelineTaskDetail message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail} PipelineTaskDetail
+                         */
+                        PipelineTaskDetail.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.PipelineTaskDetail)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.PipelineTaskDetail();
+                            if (object.taskId != null)
+                                if ($util.Long)
+                                    (message.taskId = $util.Long.fromValue(object.taskId)).unsigned = false;
+                                else if (typeof object.taskId === "string")
+                                    message.taskId = parseInt(object.taskId, 10);
+                                else if (typeof object.taskId === "number")
+                                    message.taskId = object.taskId;
+                                else if (typeof object.taskId === "object")
+                                    message.taskId = new $util.LongBits(object.taskId.low >>> 0, object.taskId.high >>> 0).toNumber();
+                            if (object.parentTaskId != null)
+                                if ($util.Long)
+                                    (message.parentTaskId = $util.Long.fromValue(object.parentTaskId)).unsigned = false;
+                                else if (typeof object.parentTaskId === "string")
+                                    message.parentTaskId = parseInt(object.parentTaskId, 10);
+                                else if (typeof object.parentTaskId === "number")
+                                    message.parentTaskId = object.parentTaskId;
+                                else if (typeof object.parentTaskId === "object")
+                                    message.parentTaskId = new $util.LongBits(object.parentTaskId.low >>> 0, object.parentTaskId.high >>> 0).toNumber();
+                            if (object.taskName != null)
+                                message.taskName = String(object.taskName);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                            }
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
+                            }
+                            if (object.executorDetail != null) {
+                                if (typeof object.executorDetail !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.executorDetail: object expected");
+                                message.executorDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.fromObject(object.executorDetail);
+                            }
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "PENDING":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "RUNNING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "SUCCEEDED":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "CANCEL_PENDING":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "CANCELLING":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "CANCELLED":
+                            case 6:
+                                message.state = 6;
+                                break;
+                            case "FAILED":
+                            case 7:
+                                message.state = 7;
+                                break;
+                            case "SKIPPED":
+                            case 8:
+                                message.state = 8;
+                                break;
+                            case "NOT_TRIGGERED":
+                            case 9:
+                                message.state = 9;
+                                break;
+                            }
+                            if (object.execution != null) {
+                                if (typeof object.execution !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.execution: object expected");
+                                message.execution = $root.google.cloud.aiplatform.v1.Execution.fromObject(object.execution);
+                            }
+                            if (object.error != null) {
+                                if (typeof object.error !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.error: object expected");
+                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            }
+                            if (object.inputs) {
+                                if (typeof object.inputs !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.inputs: object expected");
+                                message.inputs = {};
+                                for (var keys = Object.keys(object.inputs), i = 0; i < keys.length; ++i) {
+                                    if (typeof object.inputs[keys[i]] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.inputs: object expected");
+                                    message.inputs[keys[i]] = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.fromObject(object.inputs[keys[i]]);
+                                }
+                            }
+                            if (object.outputs) {
+                                if (typeof object.outputs !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.outputs: object expected");
+                                message.outputs = {};
+                                for (var keys = Object.keys(object.outputs), i = 0; i < keys.length; ++i) {
+                                    if (typeof object.outputs[keys[i]] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.outputs: object expected");
+                                    message.outputs[keys[i]] = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.fromObject(object.outputs[keys[i]]);
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a PipelineTaskDetail message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.PipelineTaskDetail} message PipelineTaskDetail
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        PipelineTaskDetail.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.objects || options.defaults) {
+                                object.inputs = {};
+                                object.outputs = {};
+                            }
+                            if (options.defaults) {
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.taskId = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.taskId = options.longs === String ? "0" : 0;
+                                object.taskName = "";
+                                object.createTime = null;
+                                object.startTime = null;
+                                object.endTime = null;
+                                object.executorDetail = null;
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                object.execution = null;
+                                object.error = null;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.parentTaskId = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.parentTaskId = options.longs === String ? "0" : 0;
+                            }
+                            if (message.taskId != null && message.hasOwnProperty("taskId"))
+                                if (typeof message.taskId === "number")
+                                    object.taskId = options.longs === String ? String(message.taskId) : message.taskId;
+                                else
+                                    object.taskId = options.longs === String ? $util.Long.prototype.toString.call(message.taskId) : options.longs === Number ? new $util.LongBits(message.taskId.low >>> 0, message.taskId.high >>> 0).toNumber() : message.taskId;
+                            if (message.taskName != null && message.hasOwnProperty("taskName"))
+                                object.taskName = message.taskName;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.executorDetail != null && message.hasOwnProperty("executorDetail"))
+                                object.executorDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.toObject(message.executorDetail, options);
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1.PipelineTaskDetail.State[message.state] : message.state;
+                            if (message.execution != null && message.hasOwnProperty("execution"))
+                                object.execution = $root.google.cloud.aiplatform.v1.Execution.toObject(message.execution, options);
+                            if (message.error != null && message.hasOwnProperty("error"))
+                                object.error = $root.google.rpc.Status.toObject(message.error, options);
+                            var keys2;
+                            if (message.inputs && (keys2 = Object.keys(message.inputs)).length) {
+                                object.inputs = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.inputs[keys2[j]] = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.toObject(message.inputs[keys2[j]], options);
+                            }
+                            if (message.outputs && (keys2 = Object.keys(message.outputs)).length) {
+                                object.outputs = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.outputs[keys2[j]] = $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.toObject(message.outputs[keys2[j]], options);
+                            }
+                            if (message.parentTaskId != null && message.hasOwnProperty("parentTaskId"))
+                                if (typeof message.parentTaskId === "number")
+                                    object.parentTaskId = options.longs === String ? String(message.parentTaskId) : message.parentTaskId;
+                                else
+                                    object.parentTaskId = options.longs === String ? $util.Long.prototype.toString.call(message.parentTaskId) : options.longs === Number ? new $util.LongBits(message.parentTaskId.low >>> 0, message.parentTaskId.high >>> 0).toNumber() : message.parentTaskId;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this PipelineTaskDetail to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        PipelineTaskDetail.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        PipelineTaskDetail.ArtifactList = (function() {
+    
+                            /**
+                             * Properties of an ArtifactList.
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                             * @interface IArtifactList
+                             * @property {Array.<google.cloud.aiplatform.v1.IArtifact>|null} [artifacts] ArtifactList artifacts
+                             */
+    
+                            /**
+                             * Constructs a new ArtifactList.
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail
+                             * @classdesc Represents an ArtifactList.
+                             * @implements IArtifactList
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList=} [properties] Properties to set
+                             */
+                            function ArtifactList(properties) {
+                                this.artifacts = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * ArtifactList artifacts.
+                             * @member {Array.<google.cloud.aiplatform.v1.IArtifact>} artifacts
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @instance
+                             */
+                            ArtifactList.prototype.artifacts = $util.emptyArray;
+    
+                            /**
+                             * Creates a new ArtifactList instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList} ArtifactList instance
+                             */
+                            ArtifactList.create = function create(properties) {
+                                return new ArtifactList(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified ArtifactList message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList} message ArtifactList message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ArtifactList.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.artifacts != null && message.artifacts.length)
+                                    for (var i = 0; i < message.artifacts.length; ++i)
+                                        $root.google.cloud.aiplatform.v1.Artifact.encode(message.artifacts[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified ArtifactList message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskDetail.IArtifactList} message ArtifactList message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ArtifactList.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an ArtifactList message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList} ArtifactList
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ArtifactList.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        if (!(message.artifacts && message.artifacts.length))
+                                            message.artifacts = [];
+                                        message.artifacts.push($root.google.cloud.aiplatform.v1.Artifact.decode(reader, reader.uint32()));
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an ArtifactList message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList} ArtifactList
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ArtifactList.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an ArtifactList message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ArtifactList.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.artifacts != null && message.hasOwnProperty("artifacts")) {
+                                    if (!Array.isArray(message.artifacts))
+                                        return "artifacts: array expected";
+                                    for (var i = 0; i < message.artifacts.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1.Artifact.verify(message.artifacts[i]);
+                                        if (error)
+                                            return "artifacts." + error;
+                                    }
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an ArtifactList message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList} ArtifactList
+                             */
+                            ArtifactList.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList();
+                                if (object.artifacts) {
+                                    if (!Array.isArray(object.artifacts))
+                                        throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.artifacts: array expected");
+                                    message.artifacts = [];
+                                    for (var i = 0; i < object.artifacts.length; ++i) {
+                                        if (typeof object.artifacts[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.artifacts: object expected");
+                                        message.artifacts[i] = $root.google.cloud.aiplatform.v1.Artifact.fromObject(object.artifacts[i]);
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an ArtifactList message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList} message ArtifactList
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ArtifactList.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.artifacts = [];
+                                if (message.artifacts && message.artifacts.length) {
+                                    object.artifacts = [];
+                                    for (var j = 0; j < message.artifacts.length; ++j)
+                                        object.artifacts[j] = $root.google.cloud.aiplatform.v1.Artifact.toObject(message.artifacts[j], options);
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this ArtifactList to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ArtifactList.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return ArtifactList;
+                        })();
+    
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1.PipelineTaskDetail.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} PENDING=1 PENDING value
+                         * @property {number} RUNNING=2 RUNNING value
+                         * @property {number} SUCCEEDED=3 SUCCEEDED value
+                         * @property {number} CANCEL_PENDING=4 CANCEL_PENDING value
+                         * @property {number} CANCELLING=5 CANCELLING value
+                         * @property {number} CANCELLED=6 CANCELLED value
+                         * @property {number} FAILED=7 FAILED value
+                         * @property {number} SKIPPED=8 SKIPPED value
+                         * @property {number} NOT_TRIGGERED=9 NOT_TRIGGERED value
+                         */
+                        PipelineTaskDetail.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "PENDING"] = 1;
+                            values[valuesById[2] = "RUNNING"] = 2;
+                            values[valuesById[3] = "SUCCEEDED"] = 3;
+                            values[valuesById[4] = "CANCEL_PENDING"] = 4;
+                            values[valuesById[5] = "CANCELLING"] = 5;
+                            values[valuesById[6] = "CANCELLED"] = 6;
+                            values[valuesById[7] = "FAILED"] = 7;
+                            values[valuesById[8] = "SKIPPED"] = 8;
+                            values[valuesById[9] = "NOT_TRIGGERED"] = 9;
+                            return values;
+                        })();
+    
+                        return PipelineTaskDetail;
+                    })();
+    
+                    v1.PipelineTaskExecutorDetail = (function() {
+    
+                        /**
+                         * Properties of a PipelineTaskExecutorDetail.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IPipelineTaskExecutorDetail
+                         * @property {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail|null} [containerDetail] PipelineTaskExecutorDetail containerDetail
+                         * @property {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail|null} [customJobDetail] PipelineTaskExecutorDetail customJobDetail
+                         */
+    
+                        /**
+                         * Constructs a new PipelineTaskExecutorDetail.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a PipelineTaskExecutorDetail.
+                         * @implements IPipelineTaskExecutorDetail
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail=} [properties] Properties to set
+                         */
+                        function PipelineTaskExecutorDetail(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * PipelineTaskExecutorDetail containerDetail.
+                         * @member {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail|null|undefined} containerDetail
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @instance
+                         */
+                        PipelineTaskExecutorDetail.prototype.containerDetail = null;
+    
+                        /**
+                         * PipelineTaskExecutorDetail customJobDetail.
+                         * @member {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail|null|undefined} customJobDetail
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @instance
+                         */
+                        PipelineTaskExecutorDetail.prototype.customJobDetail = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * PipelineTaskExecutorDetail details.
+                         * @member {"containerDetail"|"customJobDetail"|undefined} details
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @instance
+                         */
+                        Object.defineProperty(PipelineTaskExecutorDetail.prototype, "details", {
+                            get: $util.oneOfGetter($oneOfFields = ["containerDetail", "customJobDetail"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new PipelineTaskExecutorDetail instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail} PipelineTaskExecutorDetail instance
+                         */
+                        PipelineTaskExecutorDetail.create = function create(properties) {
+                            return new PipelineTaskExecutorDetail(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified PipelineTaskExecutorDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail} message PipelineTaskExecutorDetail message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PipelineTaskExecutorDetail.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.containerDetail != null && Object.hasOwnProperty.call(message, "containerDetail"))
+                                $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.encode(message.containerDetail, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.customJobDetail != null && Object.hasOwnProperty.call(message, "customJobDetail"))
+                                $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.encode(message.customJobDetail, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified PipelineTaskExecutorDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IPipelineTaskExecutorDetail} message PipelineTaskExecutorDetail message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PipelineTaskExecutorDetail.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a PipelineTaskExecutorDetail message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail} PipelineTaskExecutorDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineTaskExecutorDetail.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.containerDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.customJobDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a PipelineTaskExecutorDetail message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail} PipelineTaskExecutorDetail
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PipelineTaskExecutorDetail.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a PipelineTaskExecutorDetail message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        PipelineTaskExecutorDetail.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            var properties = {};
+                            if (message.containerDetail != null && message.hasOwnProperty("containerDetail")) {
+                                properties.details = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.verify(message.containerDetail);
+                                    if (error)
+                                        return "containerDetail." + error;
+                                }
+                            }
+                            if (message.customJobDetail != null && message.hasOwnProperty("customJobDetail")) {
+                                if (properties.details === 1)
+                                    return "details: multiple values";
+                                properties.details = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.verify(message.customJobDetail);
+                                    if (error)
+                                        return "customJobDetail." + error;
+                                }
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a PipelineTaskExecutorDetail message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail} PipelineTaskExecutorDetail
+                         */
+                        PipelineTaskExecutorDetail.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail();
+                            if (object.containerDetail != null) {
+                                if (typeof object.containerDetail !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.containerDetail: object expected");
+                                message.containerDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.fromObject(object.containerDetail);
+                            }
+                            if (object.customJobDetail != null) {
+                                if (typeof object.customJobDetail !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.customJobDetail: object expected");
+                                message.customJobDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.fromObject(object.customJobDetail);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a PipelineTaskExecutorDetail message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail} message PipelineTaskExecutorDetail
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        PipelineTaskExecutorDetail.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (message.containerDetail != null && message.hasOwnProperty("containerDetail")) {
+                                object.containerDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.toObject(message.containerDetail, options);
+                                if (options.oneofs)
+                                    object.details = "containerDetail";
+                            }
+                            if (message.customJobDetail != null && message.hasOwnProperty("customJobDetail")) {
+                                object.customJobDetail = $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.toObject(message.customJobDetail, options);
+                                if (options.oneofs)
+                                    object.details = "customJobDetail";
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this PipelineTaskExecutorDetail to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        PipelineTaskExecutorDetail.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        PipelineTaskExecutorDetail.ContainerDetail = (function() {
+    
+                            /**
+                             * Properties of a ContainerDetail.
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                             * @interface IContainerDetail
+                             * @property {string|null} [mainJob] ContainerDetail mainJob
+                             * @property {string|null} [preCachingCheckJob] ContainerDetail preCachingCheckJob
+                             */
+    
+                            /**
+                             * Constructs a new ContainerDetail.
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                             * @classdesc Represents a ContainerDetail.
+                             * @implements IContainerDetail
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail=} [properties] Properties to set
+                             */
+                            function ContainerDetail(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * ContainerDetail mainJob.
+                             * @member {string} mainJob
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @instance
+                             */
+                            ContainerDetail.prototype.mainJob = "";
+    
+                            /**
+                             * ContainerDetail preCachingCheckJob.
+                             * @member {string} preCachingCheckJob
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @instance
+                             */
+                            ContainerDetail.prototype.preCachingCheckJob = "";
+    
+                            /**
+                             * Creates a new ContainerDetail instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail} ContainerDetail instance
+                             */
+                            ContainerDetail.create = function create(properties) {
+                                return new ContainerDetail(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified ContainerDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail} message ContainerDetail message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ContainerDetail.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.mainJob != null && Object.hasOwnProperty.call(message, "mainJob"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.mainJob);
+                                if (message.preCachingCheckJob != null && Object.hasOwnProperty.call(message, "preCachingCheckJob"))
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.preCachingCheckJob);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified ContainerDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.IContainerDetail} message ContainerDetail message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ContainerDetail.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a ContainerDetail message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail} ContainerDetail
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ContainerDetail.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.mainJob = reader.string();
+                                        break;
+                                    case 2:
+                                        message.preCachingCheckJob = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a ContainerDetail message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail} ContainerDetail
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ContainerDetail.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a ContainerDetail message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ContainerDetail.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.mainJob != null && message.hasOwnProperty("mainJob"))
+                                    if (!$util.isString(message.mainJob))
+                                        return "mainJob: string expected";
+                                if (message.preCachingCheckJob != null && message.hasOwnProperty("preCachingCheckJob"))
+                                    if (!$util.isString(message.preCachingCheckJob))
+                                        return "preCachingCheckJob: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a ContainerDetail message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail} ContainerDetail
+                             */
+                            ContainerDetail.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail();
+                                if (object.mainJob != null)
+                                    message.mainJob = String(object.mainJob);
+                                if (object.preCachingCheckJob != null)
+                                    message.preCachingCheckJob = String(object.preCachingCheckJob);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a ContainerDetail message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail} message ContainerDetail
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ContainerDetail.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.mainJob = "";
+                                    object.preCachingCheckJob = "";
+                                }
+                                if (message.mainJob != null && message.hasOwnProperty("mainJob"))
+                                    object.mainJob = message.mainJob;
+                                if (message.preCachingCheckJob != null && message.hasOwnProperty("preCachingCheckJob"))
+                                    object.preCachingCheckJob = message.preCachingCheckJob;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this ContainerDetail to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ContainerDetail.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return ContainerDetail;
+                        })();
+    
+                        PipelineTaskExecutorDetail.CustomJobDetail = (function() {
+    
+                            /**
+                             * Properties of a CustomJobDetail.
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                             * @interface ICustomJobDetail
+                             * @property {string|null} [job] CustomJobDetail job
+                             */
+    
+                            /**
+                             * Constructs a new CustomJobDetail.
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
+                             * @classdesc Represents a CustomJobDetail.
+                             * @implements ICustomJobDetail
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail=} [properties] Properties to set
+                             */
+                            function CustomJobDetail(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * CustomJobDetail job.
+                             * @member {string} job
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @instance
+                             */
+                            CustomJobDetail.prototype.job = "";
+    
+                            /**
+                             * Creates a new CustomJobDetail instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail} CustomJobDetail instance
+                             */
+                            CustomJobDetail.create = function create(properties) {
+                                return new CustomJobDetail(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified CustomJobDetail message. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail} message CustomJobDetail message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            CustomJobDetail.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.job != null && Object.hasOwnProperty.call(message, "job"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.job);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified CustomJobDetail message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ICustomJobDetail} message CustomJobDetail message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            CustomJobDetail.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a CustomJobDetail message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail} CustomJobDetail
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            CustomJobDetail.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.job = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a CustomJobDetail message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail} CustomJobDetail
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            CustomJobDetail.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a CustomJobDetail message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            CustomJobDetail.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.job != null && message.hasOwnProperty("job"))
+                                    if (!$util.isString(message.job))
+                                        return "job: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a CustomJobDetail message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail} CustomJobDetail
+                             */
+                            CustomJobDetail.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail();
+                                if (object.job != null)
+                                    message.job = String(object.job);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a CustomJobDetail message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @static
+                             * @param {google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail} message CustomJobDetail
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            CustomJobDetail.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults)
+                                    object.job = "";
+                                if (message.job != null && message.hasOwnProperty("job"))
+                                    object.job = message.job;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this CustomJobDetail to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            CustomJobDetail.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return CustomJobDetail;
+                        })();
+    
+                        return PipelineTaskExecutorDetail;
+                    })();
+    
+                    v1.PipelineService = (function() {
+    
+                        /**
+                         * Constructs a new PipelineService service.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a PipelineService
+                         * @extends $protobuf.rpc.Service
+                         * @constructor
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         */
+                        function PipelineService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        }
+    
+                        (PipelineService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = PipelineService;
+    
+                        /**
+                         * Creates new PipelineService service using the specified rpc implementation.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @static
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {PipelineService} RPC service. Useful where requests and/or responses are streamed.
+                         */
+                        PipelineService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        };
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#createTrainingPipeline}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef CreateTrainingPipelineCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.TrainingPipeline} [response] TrainingPipeline
+                         */
+    
+                        /**
+                         * Calls CreateTrainingPipeline.
+                         * @function createTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} request CreateTrainingPipelineRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipelineCallback} callback Node-style callback called with the error, if any, and TrainingPipeline
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.createTrainingPipeline = function createTrainingPipeline(request, callback) {
+                            return this.rpcCall(createTrainingPipeline, $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest, $root.google.cloud.aiplatform.v1.TrainingPipeline, request, callback);
+                        }, "name", { value: "CreateTrainingPipeline" });
+    
+                        /**
+                         * Calls CreateTrainingPipeline.
+                         * @function createTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} request CreateTrainingPipelineRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.TrainingPipeline>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#getTrainingPipeline}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef GetTrainingPipelineCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.TrainingPipeline} [response] TrainingPipeline
+                         */
+    
+                        /**
+                         * Calls GetTrainingPipeline.
+                         * @function getTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} request GetTrainingPipelineRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.GetTrainingPipelineCallback} callback Node-style callback called with the error, if any, and TrainingPipeline
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.getTrainingPipeline = function getTrainingPipeline(request, callback) {
+                            return this.rpcCall(getTrainingPipeline, $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest, $root.google.cloud.aiplatform.v1.TrainingPipeline, request, callback);
+                        }, "name", { value: "GetTrainingPipeline" });
+    
+                        /**
+                         * Calls GetTrainingPipeline.
+                         * @function getTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} request GetTrainingPipelineRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.TrainingPipeline>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#listTrainingPipelines}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef ListTrainingPipelinesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} [response] ListTrainingPipelinesResponse
+                         */
+    
+                        /**
+                         * Calls ListTrainingPipelines.
+                         * @function listTrainingPipelines
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} request ListTrainingPipelinesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelinesCallback} callback Node-style callback called with the error, if any, and ListTrainingPipelinesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.listTrainingPipelines = function listTrainingPipelines(request, callback) {
+                            return this.rpcCall(listTrainingPipelines, $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest, $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse, request, callback);
+                        }, "name", { value: "ListTrainingPipelines" });
+    
+                        /**
+                         * Calls ListTrainingPipelines.
+                         * @function listTrainingPipelines
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} request ListTrainingPipelinesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#deleteTrainingPipeline}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef DeleteTrainingPipelineCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteTrainingPipeline.
+                         * @function deleteTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} request DeleteTrainingPipelineRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipelineCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.deleteTrainingPipeline = function deleteTrainingPipeline(request, callback) {
+                            return this.rpcCall(deleteTrainingPipeline, $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteTrainingPipeline" });
+    
+                        /**
+                         * Calls DeleteTrainingPipeline.
+                         * @function deleteTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} request DeleteTrainingPipelineRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#cancelTrainingPipeline}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef CancelTrainingPipelineCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
+                         */
+    
+                        /**
+                         * Calls CancelTrainingPipeline.
+                         * @function cancelTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} request CancelTrainingPipelineRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipelineCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.cancelTrainingPipeline = function cancelTrainingPipeline(request, callback) {
+                            return this.rpcCall(cancelTrainingPipeline, $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "CancelTrainingPipeline" });
+    
+                        /**
+                         * Calls CancelTrainingPipeline.
+                         * @function cancelTrainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} request CancelTrainingPipelineRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#createPipelineJob}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef CreatePipelineJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.PipelineJob} [response] PipelineJob
+                         */
+    
+                        /**
+                         * Calls CreatePipelineJob.
+                         * @function createPipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICreatePipelineJobRequest} request CreatePipelineJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.CreatePipelineJobCallback} callback Node-style callback called with the error, if any, and PipelineJob
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.createPipelineJob = function createPipelineJob(request, callback) {
+                            return this.rpcCall(createPipelineJob, $root.google.cloud.aiplatform.v1.CreatePipelineJobRequest, $root.google.cloud.aiplatform.v1.PipelineJob, request, callback);
+                        }, "name", { value: "CreatePipelineJob" });
+    
+                        /**
+                         * Calls CreatePipelineJob.
+                         * @function createPipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICreatePipelineJobRequest} request CreatePipelineJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.PipelineJob>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#getPipelineJob}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef GetPipelineJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.PipelineJob} [response] PipelineJob
+                         */
+    
+                        /**
+                         * Calls GetPipelineJob.
+                         * @function getPipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IGetPipelineJobRequest} request GetPipelineJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.GetPipelineJobCallback} callback Node-style callback called with the error, if any, and PipelineJob
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.getPipelineJob = function getPipelineJob(request, callback) {
+                            return this.rpcCall(getPipelineJob, $root.google.cloud.aiplatform.v1.GetPipelineJobRequest, $root.google.cloud.aiplatform.v1.PipelineJob, request, callback);
+                        }, "name", { value: "GetPipelineJob" });
+    
+                        /**
+                         * Calls GetPipelineJob.
+                         * @function getPipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IGetPipelineJobRequest} request GetPipelineJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.PipelineJob>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#listPipelineJobs}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef ListPipelineJobsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.ListPipelineJobsResponse} [response] ListPipelineJobsResponse
+                         */
+    
+                        /**
+                         * Calls ListPipelineJobs.
+                         * @function listPipelineJobs
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsRequest} request ListPipelineJobsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.ListPipelineJobsCallback} callback Node-style callback called with the error, if any, and ListPipelineJobsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.listPipelineJobs = function listPipelineJobs(request, callback) {
+                            return this.rpcCall(listPipelineJobs, $root.google.cloud.aiplatform.v1.ListPipelineJobsRequest, $root.google.cloud.aiplatform.v1.ListPipelineJobsResponse, request, callback);
+                        }, "name", { value: "ListPipelineJobs" });
+    
+                        /**
+                         * Calls ListPipelineJobs.
+                         * @function listPipelineJobs
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsRequest} request ListPipelineJobsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.ListPipelineJobsResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#deletePipelineJob}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef DeletePipelineJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeletePipelineJob.
+                         * @function deletePipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IDeletePipelineJobRequest} request DeletePipelineJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.DeletePipelineJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.deletePipelineJob = function deletePipelineJob(request, callback) {
+                            return this.rpcCall(deletePipelineJob, $root.google.cloud.aiplatform.v1.DeletePipelineJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeletePipelineJob" });
+    
+                        /**
+                         * Calls DeletePipelineJob.
+                         * @function deletePipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IDeletePipelineJobRequest} request DeletePipelineJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#cancelPipelineJob}.
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @typedef CancelPipelineJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
+                         */
+    
+                        /**
+                         * Calls CancelPipelineJob.
+                         * @function cancelPipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICancelPipelineJobRequest} request CancelPipelineJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.PipelineService.CancelPipelineJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(PipelineService.prototype.cancelPipelineJob = function cancelPipelineJob(request, callback) {
+                            return this.rpcCall(cancelPipelineJob, $root.google.cloud.aiplatform.v1.CancelPipelineJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "CancelPipelineJob" });
+    
+                        /**
+                         * Calls CancelPipelineJob.
+                         * @function cancelPipelineJob
+                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.ICancelPipelineJobRequest} request CancelPipelineJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
+                         */
+    
+                        return PipelineService;
+                    })();
+    
+                    v1.CreateTrainingPipelineRequest = (function() {
+    
+                        /**
+                         * Properties of a CreateTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface ICreateTrainingPipelineRequest
+                         * @property {string|null} [parent] CreateTrainingPipelineRequest parent
+                         * @property {google.cloud.aiplatform.v1.ITrainingPipeline|null} [trainingPipeline] CreateTrainingPipelineRequest trainingPipeline
+                         */
+    
+                        /**
+                         * Constructs a new CreateTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a CreateTrainingPipelineRequest.
+                         * @implements ICreateTrainingPipelineRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest=} [properties] Properties to set
+                         */
+                        function CreateTrainingPipelineRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * CreateTrainingPipelineRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @instance
+                         */
+                        CreateTrainingPipelineRequest.prototype.parent = "";
+    
+                        /**
+                         * CreateTrainingPipelineRequest trainingPipeline.
+                         * @member {google.cloud.aiplatform.v1.ITrainingPipeline|null|undefined} trainingPipeline
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @instance
+                         */
+                        CreateTrainingPipelineRequest.prototype.trainingPipeline = null;
+    
+                        /**
+                         * Creates a new CreateTrainingPipelineRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest instance
+                         */
+                        CreateTrainingPipelineRequest.create = function create(properties) {
+                            return new CreateTrainingPipelineRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified CreateTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} message CreateTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CreateTrainingPipelineRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.trainingPipeline != null && Object.hasOwnProperty.call(message, "trainingPipeline"))
+                                $root.google.cloud.aiplatform.v1.TrainingPipeline.encode(message.trainingPipeline, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified CreateTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} message CreateTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CreateTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CreateTrainingPipelineRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.trainingPipeline = $root.google.cloud.aiplatform.v1.TrainingPipeline.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CreateTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a CreateTrainingPipelineRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        CreateTrainingPipelineRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline")) {
+                                var error = $root.google.cloud.aiplatform.v1.TrainingPipeline.verify(message.trainingPipeline);
+                                if (error)
+                                    return "trainingPipeline." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a CreateTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest
+                         */
+                        CreateTrainingPipelineRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.trainingPipeline != null) {
+                                if (typeof object.trainingPipeline !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.trainingPipeline: object expected");
+                                message.trainingPipeline = $root.google.cloud.aiplatform.v1.TrainingPipeline.fromObject(object.trainingPipeline);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a CreateTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} message CreateTrainingPipelineRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        CreateTrainingPipelineRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.trainingPipeline = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline"))
+                                object.trainingPipeline = $root.google.cloud.aiplatform.v1.TrainingPipeline.toObject(message.trainingPipeline, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this CreateTrainingPipelineRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        CreateTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return CreateTrainingPipelineRequest;
+                    })();
+    
+                    v1.GetTrainingPipelineRequest = (function() {
+    
+                        /**
+                         * Properties of a GetTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IGetTrainingPipelineRequest
+                         * @property {string|null} [name] GetTrainingPipelineRequest name
+                         */
+    
+                        /**
+                         * Constructs a new GetTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a GetTrainingPipelineRequest.
+                         * @implements IGetTrainingPipelineRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest=} [properties] Properties to set
+                         */
+                        function GetTrainingPipelineRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * GetTrainingPipelineRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @instance
+                         */
+                        GetTrainingPipelineRequest.prototype.name = "";
+    
+                        /**
+                         * Creates a new GetTrainingPipelineRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest instance
+                         */
+                        GetTrainingPipelineRequest.create = function create(properties) {
+                            return new GetTrainingPipelineRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified GetTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} message GetTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        GetTrainingPipelineRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified GetTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} message GetTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        GetTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetTrainingPipelineRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a GetTrainingPipelineRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        GetTrainingPipelineRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a GetTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest
+                         */
+                        GetTrainingPipelineRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a GetTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} message GetTrainingPipelineRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        GetTrainingPipelineRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this GetTrainingPipelineRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        GetTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return GetTrainingPipelineRequest;
+                    })();
+    
+                    v1.ListTrainingPipelinesRequest = (function() {
+    
+                        /**
+                         * Properties of a ListTrainingPipelinesRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IListTrainingPipelinesRequest
+                         * @property {string|null} [parent] ListTrainingPipelinesRequest parent
+                         * @property {string|null} [filter] ListTrainingPipelinesRequest filter
+                         * @property {number|null} [pageSize] ListTrainingPipelinesRequest pageSize
+                         * @property {string|null} [pageToken] ListTrainingPipelinesRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListTrainingPipelinesRequest readMask
+                         */
+    
+                        /**
+                         * Constructs a new ListTrainingPipelinesRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a ListTrainingPipelinesRequest.
+                         * @implements IListTrainingPipelinesRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest=} [properties] Properties to set
+                         */
+                        function ListTrainingPipelinesRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListTrainingPipelinesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @instance
+                         */
+                        ListTrainingPipelinesRequest.prototype.parent = "";
+    
+                        /**
+                         * ListTrainingPipelinesRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @instance
+                         */
+                        ListTrainingPipelinesRequest.prototype.filter = "";
+    
+                        /**
+                         * ListTrainingPipelinesRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @instance
+                         */
+                        ListTrainingPipelinesRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListTrainingPipelinesRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @instance
+                         */
+                        ListTrainingPipelinesRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListTrainingPipelinesRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @instance
+                         */
+                        ListTrainingPipelinesRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListTrainingPipelinesRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest instance
+                         */
+                        ListTrainingPipelinesRequest.create = function create(properties) {
+                            return new ListTrainingPipelinesRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListTrainingPipelinesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} message ListTrainingPipelinesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListTrainingPipelinesRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListTrainingPipelinesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} message ListTrainingPipelinesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListTrainingPipelinesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListTrainingPipelinesRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListTrainingPipelinesRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListTrainingPipelinesRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListTrainingPipelinesRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListTrainingPipelinesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest
+                         */
+                        ListTrainingPipelinesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListTrainingPipelinesRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} message ListTrainingPipelinesRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListTrainingPipelinesRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListTrainingPipelinesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ListTrainingPipelinesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListTrainingPipelinesRequest;
+                    })();
+    
+                    v1.ListTrainingPipelinesResponse = (function() {
+    
+                        /**
+                         * Properties of a ListTrainingPipelinesResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IListTrainingPipelinesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1.ITrainingPipeline>|null} [trainingPipelines] ListTrainingPipelinesResponse trainingPipelines
+                         * @property {string|null} [nextPageToken] ListTrainingPipelinesResponse nextPageToken
+                         */
+    
+                        /**
+                         * Constructs a new ListTrainingPipelinesResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a ListTrainingPipelinesResponse.
+                         * @implements IListTrainingPipelinesResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse=} [properties] Properties to set
+                         */
+                        function ListTrainingPipelinesResponse(properties) {
+                            this.trainingPipelines = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListTrainingPipelinesResponse trainingPipelines.
+                         * @member {Array.<google.cloud.aiplatform.v1.ITrainingPipeline>} trainingPipelines
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @instance
+                         */
+                        ListTrainingPipelinesResponse.prototype.trainingPipelines = $util.emptyArray;
+    
+                        /**
+                         * ListTrainingPipelinesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @instance
+                         */
+                        ListTrainingPipelinesResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListTrainingPipelinesResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse instance
+                         */
+                        ListTrainingPipelinesResponse.create = function create(properties) {
+                            return new ListTrainingPipelinesResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListTrainingPipelinesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse} message ListTrainingPipelinesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListTrainingPipelinesResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.trainingPipelines != null && message.trainingPipelines.length)
+                                for (var i = 0; i < message.trainingPipelines.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.TrainingPipeline.encode(message.trainingPipelines[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListTrainingPipelinesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse} message ListTrainingPipelinesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListTrainingPipelinesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListTrainingPipelinesResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.trainingPipelines && message.trainingPipelines.length))
+                                        message.trainingPipelines = [];
+                                    message.trainingPipelines.push($root.google.cloud.aiplatform.v1.TrainingPipeline.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListTrainingPipelinesResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListTrainingPipelinesResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListTrainingPipelinesResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.trainingPipelines != null && message.hasOwnProperty("trainingPipelines")) {
+                                if (!Array.isArray(message.trainingPipelines))
+                                    return "trainingPipelines: array expected";
+                                for (var i = 0; i < message.trainingPipelines.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.TrainingPipeline.verify(message.trainingPipelines[i]);
+                                    if (error)
+                                        return "trainingPipelines." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListTrainingPipelinesResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse
+                         */
+                        ListTrainingPipelinesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse();
+                            if (object.trainingPipelines) {
+                                if (!Array.isArray(object.trainingPipelines))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.trainingPipelines: array expected");
+                                message.trainingPipelines = [];
+                                for (var i = 0; i < object.trainingPipelines.length; ++i) {
+                                    if (typeof object.trainingPipelines[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.trainingPipelines: object expected");
+                                    message.trainingPipelines[i] = $root.google.cloud.aiplatform.v1.TrainingPipeline.fromObject(object.trainingPipelines[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListTrainingPipelinesResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} message ListTrainingPipelinesResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListTrainingPipelinesResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.trainingPipelines = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.trainingPipelines && message.trainingPipelines.length) {
+                                object.trainingPipelines = [];
+                                for (var j = 0; j < message.trainingPipelines.length; ++j)
+                                    object.trainingPipelines[j] = $root.google.cloud.aiplatform.v1.TrainingPipeline.toObject(message.trainingPipelines[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListTrainingPipelinesResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ListTrainingPipelinesResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListTrainingPipelinesResponse;
+                    })();
+    
+                    v1.DeleteTrainingPipelineRequest = (function() {
+    
+                        /**
+                         * Properties of a DeleteTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IDeleteTrainingPipelineRequest
+                         * @property {string|null} [name] DeleteTrainingPipelineRequest name
+                         */
+    
+                        /**
+                         * Constructs a new DeleteTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a DeleteTrainingPipelineRequest.
+                         * @implements IDeleteTrainingPipelineRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest=} [properties] Properties to set
+                         */
+                        function DeleteTrainingPipelineRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * DeleteTrainingPipelineRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @instance
+                         */
+                        DeleteTrainingPipelineRequest.prototype.name = "";
+    
+                        /**
+                         * Creates a new DeleteTrainingPipelineRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest instance
+                         */
+                        DeleteTrainingPipelineRequest.create = function create(properties) {
+                            return new DeleteTrainingPipelineRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified DeleteTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} message DeleteTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        DeleteTrainingPipelineRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified DeleteTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} message DeleteTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        DeleteTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        DeleteTrainingPipelineRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        DeleteTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a DeleteTrainingPipelineRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        DeleteTrainingPipelineRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a DeleteTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest
+                         */
+                        DeleteTrainingPipelineRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a DeleteTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} message DeleteTrainingPipelineRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        DeleteTrainingPipelineRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this DeleteTrainingPipelineRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        DeleteTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return DeleteTrainingPipelineRequest;
+                    })();
+    
+                    v1.CancelTrainingPipelineRequest = (function() {
+    
+                        /**
+                         * Properties of a CancelTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface ICancelTrainingPipelineRequest
+                         * @property {string|null} [name] CancelTrainingPipelineRequest name
                          */
     
                         /**
-                         * Calls GetTrainingPipeline.
-                         * @function getTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} request GetTrainingPipelineRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1.PipelineService.GetTrainingPipelineCallback} callback Node-style callback called with the error, if any, and TrainingPipeline
-                         * @returns {undefined}
-                         * @variation 1
+                         * Constructs a new CancelTrainingPipelineRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a CancelTrainingPipelineRequest.
+                         * @implements ICancelTrainingPipelineRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest=} [properties] Properties to set
                          */
-                        Object.defineProperty(PipelineService.prototype.getTrainingPipeline = function getTrainingPipeline(request, callback) {
-                            return this.rpcCall(getTrainingPipeline, $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest, $root.google.cloud.aiplatform.v1.TrainingPipeline, request, callback);
-                        }, "name", { value: "GetTrainingPipeline" });
+                        function CancelTrainingPipelineRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls GetTrainingPipeline.
-                         * @function getTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * CancelTrainingPipelineRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} request GetTrainingPipelineRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1.TrainingPipeline>} Promise
-                         * @variation 2
                          */
+                        CancelTrainingPipelineRequest.prototype.name = "";
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#listTrainingPipelines}.
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @typedef ListTrainingPipelinesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} [response] ListTrainingPipelinesResponse
+                         * Creates a new CancelTrainingPipelineRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest instance
                          */
+                        CancelTrainingPipelineRequest.create = function create(properties) {
+                            return new CancelTrainingPipelineRequest(properties);
+                        };
     
                         /**
-                         * Calls ListTrainingPipelines.
-                         * @function listTrainingPipelines
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} request ListTrainingPipelinesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelinesCallback} callback Node-style callback called with the error, if any, and ListTrainingPipelinesResponse
-                         * @returns {undefined}
-                         * @variation 1
+                         * Encodes the specified CancelTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} message CancelTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Object.defineProperty(PipelineService.prototype.listTrainingPipelines = function listTrainingPipelines(request, callback) {
-                            return this.rpcCall(listTrainingPipelines, $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest, $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse, request, callback);
-                        }, "name", { value: "ListTrainingPipelines" });
+                        CancelTrainingPipelineRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
     
                         /**
-                         * Calls ListTrainingPipelines.
-                         * @function listTrainingPipelines
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} request ListTrainingPipelinesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>} Promise
-                         * @variation 2
+                         * Encodes the specified CancelTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} message CancelTrainingPipelineRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
+                        CancelTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#deleteTrainingPipeline}.
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @typedef DeleteTrainingPipelineCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
+                        CancelTrainingPipelineRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls DeleteTrainingPipeline.
-                         * @function deleteTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} request DeleteTrainingPipelineRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipelineCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
+                         * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Object.defineProperty(PipelineService.prototype.deleteTrainingPipeline = function deleteTrainingPipeline(request, callback) {
-                            return this.rpcCall(deleteTrainingPipeline, $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteTrainingPipeline" });
+                        CancelTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * Calls DeleteTrainingPipeline.
-                         * @function deleteTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} request DeleteTrainingPipelineRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
+                         * Verifies a CancelTrainingPipelineRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
+                        CancelTrainingPipelineRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1.PipelineService#cancelTrainingPipeline}.
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @typedef CancelTrainingPipelineCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * Creates a CancelTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest
                          */
+                        CancelTrainingPipelineRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
     
                         /**
-                         * Calls CancelTrainingPipeline.
-                         * @function cancelTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} request CancelTrainingPipelineRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipelineCallback} callback Node-style callback called with the error, if any, and Empty
-                         * @returns {undefined}
-                         * @variation 1
+                         * Creates a plain object from a CancelTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} message CancelTrainingPipelineRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
-                        Object.defineProperty(PipelineService.prototype.cancelTrainingPipeline = function cancelTrainingPipeline(request, callback) {
-                            return this.rpcCall(cancelTrainingPipeline, $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "CancelTrainingPipeline" });
+                        CancelTrainingPipelineRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
     
                         /**
-                         * Calls CancelTrainingPipeline.
-                         * @function cancelTrainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.PipelineService
+                         * Converts this CancelTrainingPipelineRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} request CancelTrainingPipelineRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
-                         * @variation 2
+                         * @returns {Object.<string,*>} JSON object
                          */
+                        CancelTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        return PipelineService;
+                        return CancelTrainingPipelineRequest;
                     })();
     
-                    v1.CreateTrainingPipelineRequest = (function() {
+                    v1.CreatePipelineJobRequest = (function() {
     
                         /**
-                         * Properties of a CreateTrainingPipelineRequest.
+                         * Properties of a CreatePipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface ICreateTrainingPipelineRequest
-                         * @property {string|null} [parent] CreateTrainingPipelineRequest parent
-                         * @property {google.cloud.aiplatform.v1.ITrainingPipeline|null} [trainingPipeline] CreateTrainingPipelineRequest trainingPipeline
+                         * @interface ICreatePipelineJobRequest
+                         * @property {string|null} [parent] CreatePipelineJobRequest parent
+                         * @property {google.cloud.aiplatform.v1.IPipelineJob|null} [pipelineJob] CreatePipelineJobRequest pipelineJob
+                         * @property {string|null} [pipelineJobId] CreatePipelineJobRequest pipelineJobId
                          */
     
                         /**
-                         * Constructs a new CreateTrainingPipelineRequest.
+                         * Constructs a new CreatePipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a CreateTrainingPipelineRequest.
-                         * @implements ICreateTrainingPipelineRequest
+                         * @classdesc Represents a CreatePipelineJobRequest.
+                         * @implements ICreatePipelineJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.ICreatePipelineJobRequest=} [properties] Properties to set
                          */
-                        function CreateTrainingPipelineRequest(properties) {
+                        function CreatePipelineJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -44689,80 +50898,90 @@
                         }
     
                         /**
-                         * CreateTrainingPipelineRequest parent.
+                         * CreatePipelineJobRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @instance
                          */
-                        CreateTrainingPipelineRequest.prototype.parent = "";
+                        CreatePipelineJobRequest.prototype.parent = "";
     
                         /**
-                         * CreateTrainingPipelineRequest trainingPipeline.
-                         * @member {google.cloud.aiplatform.v1.ITrainingPipeline|null|undefined} trainingPipeline
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * CreatePipelineJobRequest pipelineJob.
+                         * @member {google.cloud.aiplatform.v1.IPipelineJob|null|undefined} pipelineJob
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @instance
                          */
-                        CreateTrainingPipelineRequest.prototype.trainingPipeline = null;
+                        CreatePipelineJobRequest.prototype.pipelineJob = null;
     
                         /**
-                         * Creates a new CreateTrainingPipelineRequest instance using the specified properties.
+                         * CreatePipelineJobRequest pipelineJobId.
+                         * @member {string} pipelineJobId
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
+                         * @instance
+                         */
+                        CreatePipelineJobRequest.prototype.pipelineJobId = "";
+    
+                        /**
+                         * Creates a new CreatePipelineJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest instance
+                         * @param {google.cloud.aiplatform.v1.ICreatePipelineJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.CreatePipelineJobRequest} CreatePipelineJobRequest instance
                          */
-                        CreateTrainingPipelineRequest.create = function create(properties) {
-                            return new CreateTrainingPipelineRequest(properties);
+                        CreatePipelineJobRequest.create = function create(properties) {
+                            return new CreatePipelineJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified CreatePipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CreatePipelineJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} message CreateTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.ICreatePipelineJobRequest} message CreatePipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateTrainingPipelineRequest.encode = function encode(message, writer) {
+                        CreatePipelineJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.trainingPipeline != null && Object.hasOwnProperty.call(message, "trainingPipeline"))
-                                $root.google.cloud.aiplatform.v1.TrainingPipeline.encode(message.trainingPipeline, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.pipelineJob != null && Object.hasOwnProperty.call(message, "pipelineJob"))
+                                $root.google.cloud.aiplatform.v1.PipelineJob.encode(message.pipelineJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.pipelineJobId != null && Object.hasOwnProperty.call(message, "pipelineJobId"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.pipelineJobId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified CreatePipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CreatePipelineJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICreateTrainingPipelineRequest} message CreateTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.ICreatePipelineJobRequest} message CreatePipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreatePipelineJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer.
+                         * Decodes a CreatePipelineJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.CreatePipelineJobRequest} CreatePipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateTrainingPipelineRequest.decode = function decode(reader, length) {
+                        CreatePipelineJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CreatePipelineJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -44770,7 +50989,10 @@
                                     message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.trainingPipeline = $root.google.cloud.aiplatform.v1.TrainingPipeline.decode(reader, reader.uint32());
+                                    message.pipelineJob = $root.google.cloud.aiplatform.v1.PipelineJob.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.pipelineJobId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -44781,121 +51003,129 @@
                         };
     
                         /**
-                         * Decodes a CreateTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreatePipelineJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.CreatePipelineJobRequest} CreatePipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreatePipelineJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateTrainingPipelineRequest message.
+                         * Verifies a CreatePipelineJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateTrainingPipelineRequest.verify = function verify(message) {
+                        CreatePipelineJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
-                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline")) {
-                                var error = $root.google.cloud.aiplatform.v1.TrainingPipeline.verify(message.trainingPipeline);
+                            if (message.pipelineJob != null && message.hasOwnProperty("pipelineJob")) {
+                                var error = $root.google.cloud.aiplatform.v1.PipelineJob.verify(message.pipelineJob);
                                 if (error)
-                                    return "trainingPipeline." + error;
+                                    return "pipelineJob." + error;
                             }
+                            if (message.pipelineJobId != null && message.hasOwnProperty("pipelineJobId"))
+                                if (!$util.isString(message.pipelineJobId))
+                                    return "pipelineJobId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreatePipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} CreateTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.CreatePipelineJobRequest} CreatePipelineJobRequest
                          */
-                        CreateTrainingPipelineRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+                        CreatePipelineJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.CreatePipelineJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest();
+                            var message = new $root.google.cloud.aiplatform.v1.CreatePipelineJobRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
-                            if (object.trainingPipeline != null) {
-                                if (typeof object.trainingPipeline !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.trainingPipeline: object expected");
-                                message.trainingPipeline = $root.google.cloud.aiplatform.v1.TrainingPipeline.fromObject(object.trainingPipeline);
+                            if (object.pipelineJob != null) {
+                                if (typeof object.pipelineJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.CreatePipelineJobRequest.pipelineJob: object expected");
+                                message.pipelineJob = $root.google.cloud.aiplatform.v1.PipelineJob.fromObject(object.pipelineJob);
                             }
+                            if (object.pipelineJobId != null)
+                                message.pipelineJobId = String(object.pipelineJobId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreatePipelineJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.CreateTrainingPipelineRequest} message CreateTrainingPipelineRequest
+                         * @param {google.cloud.aiplatform.v1.CreatePipelineJobRequest} message CreatePipelineJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateTrainingPipelineRequest.toObject = function toObject(message, options) {
+                        CreatePipelineJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
                                 object.parent = "";
-                                object.trainingPipeline = null;
+                                object.pipelineJob = null;
+                                object.pipelineJobId = "";
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
-                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline"))
-                                object.trainingPipeline = $root.google.cloud.aiplatform.v1.TrainingPipeline.toObject(message.trainingPipeline, options);
+                            if (message.pipelineJob != null && message.hasOwnProperty("pipelineJob"))
+                                object.pipelineJob = $root.google.cloud.aiplatform.v1.PipelineJob.toObject(message.pipelineJob, options);
+                            if (message.pipelineJobId != null && message.hasOwnProperty("pipelineJobId"))
+                                object.pipelineJobId = message.pipelineJobId;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateTrainingPipelineRequest to JSON.
+                         * Converts this CreatePipelineJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CreatePipelineJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                        CreatePipelineJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateTrainingPipelineRequest;
+                        return CreatePipelineJobRequest;
                     })();
     
-                    v1.GetTrainingPipelineRequest = (function() {
+                    v1.GetPipelineJobRequest = (function() {
     
                         /**
-                         * Properties of a GetTrainingPipelineRequest.
+                         * Properties of a GetPipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface IGetTrainingPipelineRequest
-                         * @property {string|null} [name] GetTrainingPipelineRequest name
+                         * @interface IGetPipelineJobRequest
+                         * @property {string|null} [name] GetPipelineJobRequest name
                          */
     
                         /**
-                         * Constructs a new GetTrainingPipelineRequest.
+                         * Constructs a new GetPipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a GetTrainingPipelineRequest.
-                         * @implements IGetTrainingPipelineRequest
+                         * @classdesc Represents a GetPipelineJobRequest.
+                         * @implements IGetPipelineJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IGetPipelineJobRequest=} [properties] Properties to set
                          */
-                        function GetTrainingPipelineRequest(properties) {
+                        function GetPipelineJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -44903,35 +51133,35 @@
                         }
     
                         /**
-                         * GetTrainingPipelineRequest name.
+                         * GetPipelineJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @instance
                          */
-                        GetTrainingPipelineRequest.prototype.name = "";
+                        GetPipelineJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new GetTrainingPipelineRequest instance using the specified properties.
+                         * Creates a new GetPipelineJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest instance
+                         * @param {google.cloud.aiplatform.v1.IGetPipelineJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.GetPipelineJobRequest} GetPipelineJobRequest instance
                          */
-                        GetTrainingPipelineRequest.create = function create(properties) {
-                            return new GetTrainingPipelineRequest(properties);
+                        GetPipelineJobRequest.create = function create(properties) {
+                            return new GetPipelineJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified GetTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified GetPipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetPipelineJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} message GetTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IGetPipelineJobRequest} message GetPipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetTrainingPipelineRequest.encode = function encode(message, writer) {
+                        GetPipelineJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -44940,33 +51170,33 @@
                         };
     
                         /**
-                         * Encodes the specified GetTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified GetPipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetPipelineJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IGetTrainingPipelineRequest} message GetTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IGetPipelineJobRequest} message GetPipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetPipelineJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer.
+                         * Decodes a GetPipelineJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.GetPipelineJobRequest} GetPipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetTrainingPipelineRequest.decode = function decode(reader, length) {
+                        GetPipelineJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.GetPipelineJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -44982,30 +51212,30 @@
                         };
     
                         /**
-                         * Decodes a GetTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GetPipelineJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.GetPipelineJobRequest} GetPipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GetPipelineJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetTrainingPipelineRequest message.
+                         * Verifies a GetPipelineJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetTrainingPipelineRequest.verify = function verify(message) {
+                        GetPipelineJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -45015,32 +51245,32 @@
                         };
     
                         /**
-                         * Creates a GetTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetPipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} GetTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.GetPipelineJobRequest} GetPipelineJobRequest
                          */
-                        GetTrainingPipelineRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest)
+                        GetPipelineJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.GetPipelineJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1.GetTrainingPipelineRequest();
+                            var message = new $root.google.cloud.aiplatform.v1.GetPipelineJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetPipelineJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.GetTrainingPipelineRequest} message GetTrainingPipelineRequest
+                         * @param {google.cloud.aiplatform.v1.GetPipelineJobRequest} message GetPipelineJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetTrainingPipelineRequest.toObject = function toObject(message, options) {
+                        GetPipelineJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -45052,41 +51282,40 @@
                         };
     
                         /**
-                         * Converts this GetTrainingPipelineRequest to JSON.
+                         * Converts this GetPipelineJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.GetPipelineJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                        GetPipelineJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetTrainingPipelineRequest;
+                        return GetPipelineJobRequest;
                     })();
     
-                    v1.ListTrainingPipelinesRequest = (function() {
+                    v1.ListPipelineJobsRequest = (function() {
     
                         /**
-                         * Properties of a ListTrainingPipelinesRequest.
+                         * Properties of a ListPipelineJobsRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface IListTrainingPipelinesRequest
-                         * @property {string|null} [parent] ListTrainingPipelinesRequest parent
-                         * @property {string|null} [filter] ListTrainingPipelinesRequest filter
-                         * @property {number|null} [pageSize] ListTrainingPipelinesRequest pageSize
-                         * @property {string|null} [pageToken] ListTrainingPipelinesRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListTrainingPipelinesRequest readMask
+                         * @interface IListPipelineJobsRequest
+                         * @property {string|null} [parent] ListPipelineJobsRequest parent
+                         * @property {string|null} [filter] ListPipelineJobsRequest filter
+                         * @property {number|null} [pageSize] ListPipelineJobsRequest pageSize
+                         * @property {string|null} [pageToken] ListPipelineJobsRequest pageToken
                          */
     
                         /**
-                         * Constructs a new ListTrainingPipelinesRequest.
+                         * Constructs a new ListPipelineJobsRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a ListTrainingPipelinesRequest.
-                         * @implements IListTrainingPipelinesRequest
+                         * @classdesc Represents a ListPipelineJobsRequest.
+                         * @implements IListPipelineJobsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsRequest=} [properties] Properties to set
                          */
-                        function ListTrainingPipelinesRequest(properties) {
+                        function ListPipelineJobsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -45094,67 +51323,59 @@
                         }
     
                         /**
-                         * ListTrainingPipelinesRequest parent.
+                         * ListPipelineJobsRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @instance
                          */
-                        ListTrainingPipelinesRequest.prototype.parent = "";
+                        ListPipelineJobsRequest.prototype.parent = "";
     
                         /**
-                         * ListTrainingPipelinesRequest filter.
+                         * ListPipelineJobsRequest filter.
                          * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @instance
                          */
-                        ListTrainingPipelinesRequest.prototype.filter = "";
+                        ListPipelineJobsRequest.prototype.filter = "";
     
                         /**
-                         * ListTrainingPipelinesRequest pageSize.
+                         * ListPipelineJobsRequest pageSize.
                          * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @instance
                          */
-                        ListTrainingPipelinesRequest.prototype.pageSize = 0;
+                        ListPipelineJobsRequest.prototype.pageSize = 0;
     
                         /**
-                         * ListTrainingPipelinesRequest pageToken.
+                         * ListPipelineJobsRequest pageToken.
                          * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
-                         * @instance
-                         */
-                        ListTrainingPipelinesRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListTrainingPipelinesRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @instance
                          */
-                        ListTrainingPipelinesRequest.prototype.readMask = null;
+                        ListPipelineJobsRequest.prototype.pageToken = "";
     
                         /**
-                         * Creates a new ListTrainingPipelinesRequest instance using the specified properties.
+                         * Creates a new ListPipelineJobsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest instance
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsRequest} ListPipelineJobsRequest instance
                          */
-                        ListTrainingPipelinesRequest.create = function create(properties) {
-                            return new ListTrainingPipelinesRequest(properties);
+                        ListPipelineJobsRequest.create = function create(properties) {
+                            return new ListPipelineJobsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListTrainingPipelinesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
+                         * Encodes the specified ListPipelineJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} message ListTrainingPipelinesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsRequest} message ListPipelineJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListTrainingPipelinesRequest.encode = function encode(message, writer) {
+                        ListPipelineJobsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
@@ -45165,39 +51386,37 @@
                                 writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
                             if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
                                 writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListTrainingPipelinesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.verify|verify} messages.
+                         * Encodes the specified ListPipelineJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesRequest} message ListTrainingPipelinesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsRequest} message ListPipelineJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListTrainingPipelinesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListPipelineJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer.
+                         * Decodes a ListPipelineJobsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsRequest} ListPipelineJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListTrainingPipelinesRequest.decode = function decode(reader, length) {
+                        ListPipelineJobsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListPipelineJobsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -45213,9 +51432,6 @@
                                 case 4:
                                     message.pageToken = reader.string();
                                     break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -45225,30 +51441,30 @@
                         };
     
                         /**
-                         * Decodes a ListTrainingPipelinesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListPipelineJobsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsRequest} ListPipelineJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListTrainingPipelinesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListPipelineJobsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListTrainingPipelinesRequest message.
+                         * Verifies a ListPipelineJobsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListTrainingPipelinesRequest.verify = function verify(message) {
+                        ListPipelineJobsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
@@ -45263,26 +51479,21 @@
                             if (message.pageToken != null && message.hasOwnProperty("pageToken"))
                                 if (!$util.isString(message.pageToken))
                                     return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
                             return null;
                         };
     
                         /**
-                         * Creates a ListTrainingPipelinesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListPipelineJobsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} ListTrainingPipelinesRequest
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsRequest} ListPipelineJobsRequest
                          */
-                        ListTrainingPipelinesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest)
+                        ListPipelineJobsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListPipelineJobsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest();
+                            var message = new $root.google.cloud.aiplatform.v1.ListPipelineJobsRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
                             if (object.filter != null)
@@ -45291,24 +51502,19 @@
                                 message.pageSize = object.pageSize | 0;
                             if (object.pageToken != null)
                                 message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListTrainingPipelinesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListPipelineJobsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ListTrainingPipelinesRequest} message ListTrainingPipelinesRequest
+                         * @param {google.cloud.aiplatform.v1.ListPipelineJobsRequest} message ListPipelineJobsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListTrainingPipelinesRequest.toObject = function toObject(message, options) {
+                        ListPipelineJobsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -45317,7 +51523,6 @@
                                 object.filter = "";
                                 object.pageSize = 0;
                                 object.pageToken = "";
-                                object.readMask = null;
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
@@ -45327,45 +51532,43 @@
                                 object.pageSize = message.pageSize;
                             if (message.pageToken != null && message.hasOwnProperty("pageToken"))
                                 object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListTrainingPipelinesRequest to JSON.
+                         * Converts this ListPipelineJobsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListTrainingPipelinesRequest.prototype.toJSON = function toJSON() {
+                        ListPipelineJobsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListTrainingPipelinesRequest;
+                        return ListPipelineJobsRequest;
                     })();
     
-                    v1.ListTrainingPipelinesResponse = (function() {
+                    v1.ListPipelineJobsResponse = (function() {
     
                         /**
-                         * Properties of a ListTrainingPipelinesResponse.
+                         * Properties of a ListPipelineJobsResponse.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface IListTrainingPipelinesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1.ITrainingPipeline>|null} [trainingPipelines] ListTrainingPipelinesResponse trainingPipelines
-                         * @property {string|null} [nextPageToken] ListTrainingPipelinesResponse nextPageToken
+                         * @interface IListPipelineJobsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1.IPipelineJob>|null} [pipelineJobs] ListPipelineJobsResponse pipelineJobs
+                         * @property {string|null} [nextPageToken] ListPipelineJobsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new ListTrainingPipelinesResponse.
+                         * Constructs a new ListPipelineJobsResponse.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a ListTrainingPipelinesResponse.
-                         * @implements IListTrainingPipelinesResponse
+                         * @classdesc Represents a ListPipelineJobsResponse.
+                         * @implements IListPipelineJobsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsResponse=} [properties] Properties to set
                          */
-                        function ListTrainingPipelinesResponse(properties) {
-                            this.trainingPipelines = [];
+                        function ListPipelineJobsResponse(properties) {
+                            this.pipelineJobs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -45373,88 +51576,88 @@
                         }
     
                         /**
-                         * ListTrainingPipelinesResponse trainingPipelines.
-                         * @member {Array.<google.cloud.aiplatform.v1.ITrainingPipeline>} trainingPipelines
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * ListPipelineJobsResponse pipelineJobs.
+                         * @member {Array.<google.cloud.aiplatform.v1.IPipelineJob>} pipelineJobs
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @instance
                          */
-                        ListTrainingPipelinesResponse.prototype.trainingPipelines = $util.emptyArray;
+                        ListPipelineJobsResponse.prototype.pipelineJobs = $util.emptyArray;
     
                         /**
-                         * ListTrainingPipelinesResponse nextPageToken.
+                         * ListPipelineJobsResponse nextPageToken.
                          * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @instance
                          */
-                        ListTrainingPipelinesResponse.prototype.nextPageToken = "";
+                        ListPipelineJobsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new ListTrainingPipelinesResponse instance using the specified properties.
+                         * Creates a new ListPipelineJobsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse instance
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsResponse} ListPipelineJobsResponse instance
                          */
-                        ListTrainingPipelinesResponse.create = function create(properties) {
-                            return new ListTrainingPipelinesResponse(properties);
+                        ListPipelineJobsResponse.create = function create(properties) {
+                            return new ListPipelineJobsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified ListTrainingPipelinesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
+                         * Encodes the specified ListPipelineJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse} message ListTrainingPipelinesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsResponse} message ListPipelineJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListTrainingPipelinesResponse.encode = function encode(message, writer) {
+                        ListPipelineJobsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.trainingPipelines != null && message.trainingPipelines.length)
-                                for (var i = 0; i < message.trainingPipelines.length; ++i)
-                                    $root.google.cloud.aiplatform.v1.TrainingPipeline.encode(message.trainingPipelines[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.pipelineJobs != null && message.pipelineJobs.length)
+                                for (var i = 0; i < message.pipelineJobs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.PipelineJob.encode(message.pipelineJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListTrainingPipelinesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.verify|verify} messages.
+                         * Encodes the specified ListPipelineJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListTrainingPipelinesResponse} message ListTrainingPipelinesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IListPipelineJobsResponse} message ListPipelineJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListTrainingPipelinesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListPipelineJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer.
+                         * Decodes a ListPipelineJobsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsResponse} ListPipelineJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListTrainingPipelinesResponse.decode = function decode(reader, length) {
+                        ListPipelineJobsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListPipelineJobsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.trainingPipelines && message.trainingPipelines.length))
-                                        message.trainingPipelines = [];
-                                    message.trainingPipelines.push($root.google.cloud.aiplatform.v1.TrainingPipeline.decode(reader, reader.uint32()));
+                                    if (!(message.pipelineJobs && message.pipelineJobs.length))
+                                        message.pipelineJobs = [];
+                                    message.pipelineJobs.push($root.google.cloud.aiplatform.v1.PipelineJob.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
                                     message.nextPageToken = reader.string();
@@ -45468,39 +51671,39 @@
                         };
     
                         /**
-                         * Decodes a ListTrainingPipelinesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a ListPipelineJobsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsResponse} ListPipelineJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListTrainingPipelinesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ListPipelineJobsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListTrainingPipelinesResponse message.
+                         * Verifies a ListPipelineJobsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListTrainingPipelinesResponse.verify = function verify(message) {
+                        ListPipelineJobsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.trainingPipelines != null && message.hasOwnProperty("trainingPipelines")) {
-                                if (!Array.isArray(message.trainingPipelines))
-                                    return "trainingPipelines: array expected";
-                                for (var i = 0; i < message.trainingPipelines.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1.TrainingPipeline.verify(message.trainingPipelines[i]);
+                            if (message.pipelineJobs != null && message.hasOwnProperty("pipelineJobs")) {
+                                if (!Array.isArray(message.pipelineJobs))
+                                    return "pipelineJobs: array expected";
+                                for (var i = 0; i < message.pipelineJobs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.PipelineJob.verify(message.pipelineJobs[i]);
                                     if (error)
-                                        return "trainingPipelines." + error;
+                                        return "pipelineJobs." + error;
                                 }
                             }
                             if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
@@ -45510,25 +51713,25 @@
                         };
     
                         /**
-                         * Creates a ListTrainingPipelinesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListPipelineJobsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} ListTrainingPipelinesResponse
+                         * @returns {google.cloud.aiplatform.v1.ListPipelineJobsResponse} ListPipelineJobsResponse
                          */
-                        ListTrainingPipelinesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+                        ListPipelineJobsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListPipelineJobsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse();
-                            if (object.trainingPipelines) {
-                                if (!Array.isArray(object.trainingPipelines))
-                                    throw TypeError(".google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.trainingPipelines: array expected");
-                                message.trainingPipelines = [];
-                                for (var i = 0; i < object.trainingPipelines.length; ++i) {
-                                    if (typeof object.trainingPipelines[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.trainingPipelines: object expected");
-                                    message.trainingPipelines[i] = $root.google.cloud.aiplatform.v1.TrainingPipeline.fromObject(object.trainingPipelines[i]);
+                            var message = new $root.google.cloud.aiplatform.v1.ListPipelineJobsResponse();
+                            if (object.pipelineJobs) {
+                                if (!Array.isArray(object.pipelineJobs))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListPipelineJobsResponse.pipelineJobs: array expected");
+                                message.pipelineJobs = [];
+                                for (var i = 0; i < object.pipelineJobs.length; ++i) {
+                                    if (typeof object.pipelineJobs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ListPipelineJobsResponse.pipelineJobs: object expected");
+                                    message.pipelineJobs[i] = $root.google.cloud.aiplatform.v1.PipelineJob.fromObject(object.pipelineJobs[i]);
                                 }
                             }
                             if (object.nextPageToken != null)
@@ -45537,26 +51740,26 @@
                         };
     
                         /**
-                         * Creates a plain object from a ListTrainingPipelinesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListPipelineJobsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ListTrainingPipelinesResponse} message ListTrainingPipelinesResponse
+                         * @param {google.cloud.aiplatform.v1.ListPipelineJobsResponse} message ListPipelineJobsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListTrainingPipelinesResponse.toObject = function toObject(message, options) {
+                        ListPipelineJobsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.trainingPipelines = [];
+                                object.pipelineJobs = [];
                             if (options.defaults)
                                 object.nextPageToken = "";
-                            if (message.trainingPipelines && message.trainingPipelines.length) {
-                                object.trainingPipelines = [];
-                                for (var j = 0; j < message.trainingPipelines.length; ++j)
-                                    object.trainingPipelines[j] = $root.google.cloud.aiplatform.v1.TrainingPipeline.toObject(message.trainingPipelines[j], options);
+                            if (message.pipelineJobs && message.pipelineJobs.length) {
+                                object.pipelineJobs = [];
+                                for (var j = 0; j < message.pipelineJobs.length; ++j)
+                                    object.pipelineJobs[j] = $root.google.cloud.aiplatform.v1.PipelineJob.toObject(message.pipelineJobs[j], options);
                             }
                             if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
                                 object.nextPageToken = message.nextPageToken;
@@ -45564,37 +51767,37 @@
                         };
     
                         /**
-                         * Converts this ListTrainingPipelinesResponse to JSON.
+                         * Converts this ListPipelineJobsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                         * @memberof google.cloud.aiplatform.v1.ListPipelineJobsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListTrainingPipelinesResponse.prototype.toJSON = function toJSON() {
+                        ListPipelineJobsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListTrainingPipelinesResponse;
+                        return ListPipelineJobsResponse;
                     })();
     
-                    v1.DeleteTrainingPipelineRequest = (function() {
+                    v1.DeletePipelineJobRequest = (function() {
     
                         /**
-                         * Properties of a DeleteTrainingPipelineRequest.
+                         * Properties of a DeletePipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface IDeleteTrainingPipelineRequest
-                         * @property {string|null} [name] DeleteTrainingPipelineRequest name
+                         * @interface IDeletePipelineJobRequest
+                         * @property {string|null} [name] DeletePipelineJobRequest name
                          */
     
                         /**
-                         * Constructs a new DeleteTrainingPipelineRequest.
+                         * Constructs a new DeletePipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a DeleteTrainingPipelineRequest.
-                         * @implements IDeleteTrainingPipelineRequest
+                         * @classdesc Represents a DeletePipelineJobRequest.
+                         * @implements IDeletePipelineJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IDeletePipelineJobRequest=} [properties] Properties to set
                          */
-                        function DeleteTrainingPipelineRequest(properties) {
+                        function DeletePipelineJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -45602,35 +51805,35 @@
                         }
     
                         /**
-                         * DeleteTrainingPipelineRequest name.
+                         * DeletePipelineJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @instance
                          */
-                        DeleteTrainingPipelineRequest.prototype.name = "";
+                        DeletePipelineJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new DeleteTrainingPipelineRequest instance using the specified properties.
+                         * Creates a new DeletePipelineJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest instance
+                         * @param {google.cloud.aiplatform.v1.IDeletePipelineJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.DeletePipelineJobRequest} DeletePipelineJobRequest instance
                          */
-                        DeleteTrainingPipelineRequest.create = function create(properties) {
-                            return new DeleteTrainingPipelineRequest(properties);
+                        DeletePipelineJobRequest.create = function create(properties) {
+                            return new DeletePipelineJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified DeletePipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeletePipelineJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} message DeleteTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IDeletePipelineJobRequest} message DeletePipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteTrainingPipelineRequest.encode = function encode(message, writer) {
+                        DeletePipelineJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -45639,33 +51842,33 @@
                         };
     
                         /**
-                         * Encodes the specified DeleteTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified DeletePipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeletePipelineJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest} message DeleteTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IDeletePipelineJobRequest} message DeletePipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeletePipelineJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer.
+                         * Decodes a DeletePipelineJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.DeletePipelineJobRequest} DeletePipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteTrainingPipelineRequest.decode = function decode(reader, length) {
+                        DeletePipelineJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.DeletePipelineJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -45681,30 +51884,30 @@
                         };
     
                         /**
-                         * Decodes a DeleteTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeletePipelineJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.DeletePipelineJobRequest} DeletePipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeletePipelineJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteTrainingPipelineRequest message.
+                         * Verifies a DeletePipelineJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteTrainingPipelineRequest.verify = function verify(message) {
+                        DeletePipelineJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -45714,32 +51917,32 @@
                         };
     
                         /**
-                         * Creates a DeleteTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeletePipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} DeleteTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.DeletePipelineJobRequest} DeletePipelineJobRequest
                          */
-                        DeleteTrainingPipelineRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+                        DeletePipelineJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.DeletePipelineJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest();
+                            var message = new $root.google.cloud.aiplatform.v1.DeletePipelineJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeletePipelineJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest} message DeleteTrainingPipelineRequest
+                         * @param {google.cloud.aiplatform.v1.DeletePipelineJobRequest} message DeletePipelineJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteTrainingPipelineRequest.toObject = function toObject(message, options) {
+                        DeletePipelineJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -45751,37 +51954,37 @@
                         };
     
                         /**
-                         * Converts this DeleteTrainingPipelineRequest to JSON.
+                         * Converts this DeletePipelineJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.DeletePipelineJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                        DeletePipelineJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteTrainingPipelineRequest;
+                        return DeletePipelineJobRequest;
                     })();
     
-                    v1.CancelTrainingPipelineRequest = (function() {
+                    v1.CancelPipelineJobRequest = (function() {
     
                         /**
-                         * Properties of a CancelTrainingPipelineRequest.
+                         * Properties of a CancelPipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface ICancelTrainingPipelineRequest
-                         * @property {string|null} [name] CancelTrainingPipelineRequest name
+                         * @interface ICancelPipelineJobRequest
+                         * @property {string|null} [name] CancelPipelineJobRequest name
                          */
     
                         /**
-                         * Constructs a new CancelTrainingPipelineRequest.
+                         * Constructs a new CancelPipelineJobRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a CancelTrainingPipelineRequest.
-                         * @implements ICancelTrainingPipelineRequest
+                         * @classdesc Represents a CancelPipelineJobRequest.
+                         * @implements ICancelPipelineJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.ICancelPipelineJobRequest=} [properties] Properties to set
                          */
-                        function CancelTrainingPipelineRequest(properties) {
+                        function CancelPipelineJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -45789,35 +51992,35 @@
                         }
     
                         /**
-                         * CancelTrainingPipelineRequest name.
+                         * CancelPipelineJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @instance
                          */
-                        CancelTrainingPipelineRequest.prototype.name = "";
+                        CancelPipelineJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new CancelTrainingPipelineRequest instance using the specified properties.
+                         * Creates a new CancelPipelineJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest instance
+                         * @param {google.cloud.aiplatform.v1.ICancelPipelineJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.CancelPipelineJobRequest} CancelPipelineJobRequest instance
                          */
-                        CancelTrainingPipelineRequest.create = function create(properties) {
-                            return new CancelTrainingPipelineRequest(properties);
+                        CancelPipelineJobRequest.create = function create(properties) {
+                            return new CancelPipelineJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CancelTrainingPipelineRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified CancelPipelineJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.CancelPipelineJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} message CancelTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.ICancelPipelineJobRequest} message CancelPipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelTrainingPipelineRequest.encode = function encode(message, writer) {
+                        CancelPipelineJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -45826,33 +52029,33 @@
                         };
     
                         /**
-                         * Encodes the specified CancelTrainingPipelineRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.verify|verify} messages.
+                         * Encodes the specified CancelPipelineJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.CancelPipelineJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.ICancelTrainingPipelineRequest} message CancelTrainingPipelineRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.ICancelPipelineJobRequest} message CancelPipelineJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelTrainingPipelineRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CancelPipelineJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer.
+                         * Decodes a CancelPipelineJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.CancelPipelineJobRequest} CancelPipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelTrainingPipelineRequest.decode = function decode(reader, length) {
+                        CancelPipelineJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.CancelPipelineJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -45868,30 +52071,30 @@
                         };
     
                         /**
-                         * Decodes a CancelTrainingPipelineRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CancelPipelineJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.CancelPipelineJobRequest} CancelPipelineJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelTrainingPipelineRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CancelPipelineJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CancelTrainingPipelineRequest message.
+                         * Verifies a CancelPipelineJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CancelTrainingPipelineRequest.verify = function verify(message) {
+                        CancelPipelineJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -45901,32 +52104,32 @@
                         };
     
                         /**
-                         * Creates a CancelTrainingPipelineRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CancelPipelineJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} CancelTrainingPipelineRequest
+                         * @returns {google.cloud.aiplatform.v1.CancelPipelineJobRequest} CancelPipelineJobRequest
                          */
-                        CancelTrainingPipelineRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+                        CancelPipelineJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.CancelPipelineJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest();
+                            var message = new $root.google.cloud.aiplatform.v1.CancelPipelineJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CancelTrainingPipelineRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CancelPipelineJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.CancelTrainingPipelineRequest} message CancelTrainingPipelineRequest
+                         * @param {google.cloud.aiplatform.v1.CancelPipelineJobRequest} message CancelPipelineJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CancelTrainingPipelineRequest.toObject = function toObject(message, options) {
+                        CancelPipelineJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -45938,17 +52141,17 @@
                         };
     
                         /**
-                         * Converts this CancelTrainingPipelineRequest to JSON.
+                         * Converts this CancelPipelineJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                         * @memberof google.cloud.aiplatform.v1.CancelPipelineJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CancelTrainingPipelineRequest.prototype.toJSON = function toJSON() {
+                        CancelPipelineJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CancelTrainingPipelineRequest;
+                        return CancelPipelineJobRequest;
                     })();
     
                     v1.PredictionService = (function() {
@@ -55741,6 +61944,7 @@
                                      * @property {boolean|null} [disableEarlyStopping] AutoMlTablesInputs disableEarlyStopping
                                      * @property {string|null} [weightColumnName] AutoMlTablesInputs weightColumnName
                                      * @property {google.cloud.aiplatform.v1.schema.trainingjob.definition.IExportEvaluatedDataItemsConfig|null} [exportEvaluatedDataItemsConfig] AutoMlTablesInputs exportEvaluatedDataItemsConfig
+                                     * @property {Array.<string>|null} [additionalExperiments] AutoMlTablesInputs additionalExperiments
                                      */
     
                                     /**
@@ -55753,6 +61957,7 @@
                                      */
                                     function AutoMlTablesInputs(properties) {
                                         this.transformations = [];
+                                        this.additionalExperiments = [];
                                         if (properties)
                                             for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                                 if (properties[keys[i]] != null)
@@ -55839,6 +62044,14 @@
                                      */
                                     AutoMlTablesInputs.prototype.exportEvaluatedDataItemsConfig = null;
     
+                                    /**
+                                     * AutoMlTablesInputs additionalExperiments.
+                                     * @member {Array.<string>} additionalExperiments
+                                     * @memberof google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                                     * @instance
+                                     */
+                                    AutoMlTablesInputs.prototype.additionalExperiments = $util.emptyArray;
+    
                                     // OneOf field names bound to virtual getters and setters
                                     var $oneOfFields;
     
@@ -55898,6 +62111,9 @@
                                             writer.uint32(/* id 9, wireType 2 =*/74).string(message.weightColumnName);
                                         if (message.exportEvaluatedDataItemsConfig != null && Object.hasOwnProperty.call(message, "exportEvaluatedDataItemsConfig"))
                                             $root.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig.encode(message.exportEvaluatedDataItemsConfig, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                                        if (message.additionalExperiments != null && message.additionalExperiments.length)
+                                            for (var i = 0; i < message.additionalExperiments.length; ++i)
+                                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.additionalExperiments[i]);
                                         return writer;
                                     };
     
@@ -55964,6 +62180,11 @@
                                             case 10:
                                                 message.exportEvaluatedDataItemsConfig = $root.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig.decode(reader, reader.uint32());
                                                 break;
+                                            case 11:
+                                                if (!(message.additionalExperiments && message.additionalExperiments.length))
+                                                    message.additionalExperiments = [];
+                                                message.additionalExperiments.push(reader.string());
+                                                break;
                                             default:
                                                 reader.skipType(tag & 7);
                                                 break;
@@ -56044,6 +62265,13 @@
                                             if (error)
                                                 return "exportEvaluatedDataItemsConfig." + error;
                                         }
+                                        if (message.additionalExperiments != null && message.hasOwnProperty("additionalExperiments")) {
+                                            if (!Array.isArray(message.additionalExperiments))
+                                                return "additionalExperiments: array expected";
+                                            for (var i = 0; i < message.additionalExperiments.length; ++i)
+                                                if (!$util.isString(message.additionalExperiments[i]))
+                                                    return "additionalExperiments: string[] expected";
+                                        }
                                         return null;
                                     };
     
@@ -56097,6 +62325,13 @@
                                                 throw TypeError(".google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.exportEvaluatedDataItemsConfig: object expected");
                                             message.exportEvaluatedDataItemsConfig = $root.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig.fromObject(object.exportEvaluatedDataItemsConfig);
                                         }
+                                        if (object.additionalExperiments) {
+                                            if (!Array.isArray(object.additionalExperiments))
+                                                throw TypeError(".google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.additionalExperiments: array expected");
+                                            message.additionalExperiments = [];
+                                            for (var i = 0; i < object.additionalExperiments.length; ++i)
+                                                message.additionalExperiments[i] = String(object.additionalExperiments[i]);
+                                        }
                                         return message;
                                     };
     
@@ -56113,8 +62348,10 @@
                                         if (!options)
                                             options = {};
                                         var object = {};
-                                        if (options.arrays || options.defaults)
+                                        if (options.arrays || options.defaults) {
                                             object.transformations = [];
+                                            object.additionalExperiments = [];
+                                        }
                                         if (options.defaults) {
                                             object.predictionType = "";
                                             object.targetColumn = "";
@@ -56160,6 +62397,11 @@
                                             object.weightColumnName = message.weightColumnName;
                                         if (message.exportEvaluatedDataItemsConfig != null && message.hasOwnProperty("exportEvaluatedDataItemsConfig"))
                                             object.exportEvaluatedDataItemsConfig = $root.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig.toObject(message.exportEvaluatedDataItemsConfig, options);
+                                        if (message.additionalExperiments && message.additionalExperiments.length) {
+                                            object.additionalExperiments = [];
+                                            for (var j = 0; j < message.additionalExperiments.length; ++j)
+                                                object.additionalExperiments[j] = message.additionalExperiments[j];
+                                        }
                                         return object;
                                     };
     
@@ -60063,6 +66305,8 @@
                                             case 0:
                                             case 1:
                                             case 2:
+                                            case 3:
+                                            case 4:
                                                 break;
                                             }
                                         return null;
@@ -60093,6 +66337,14 @@
                                         case 2:
                                             message.modelType = 2;
                                             break;
+                                        case "MOBILE_JETSON_VERSATILE_1":
+                                        case 3:
+                                            message.modelType = 3;
+                                            break;
+                                        case "MOBILE_CORAL_VERSATILE_1":
+                                        case 4:
+                                            message.modelType = 4;
+                                            break;
                                         }
                                         return message;
                                     };
@@ -60135,12 +66387,16 @@
                                      * @property {number} MODEL_TYPE_UNSPECIFIED=0 MODEL_TYPE_UNSPECIFIED value
                                      * @property {number} CLOUD=1 CLOUD value
                                      * @property {number} MOBILE_VERSATILE_1=2 MOBILE_VERSATILE_1 value
+                                     * @property {number} MOBILE_JETSON_VERSATILE_1=3 MOBILE_JETSON_VERSATILE_1 value
+                                     * @property {number} MOBILE_CORAL_VERSATILE_1=4 MOBILE_CORAL_VERSATILE_1 value
                                      */
                                     AutoMlVideoActionRecognitionInputs.ModelType = (function() {
                                         var valuesById = {}, values = Object.create(valuesById);
                                         values[valuesById[0] = "MODEL_TYPE_UNSPECIFIED"] = 0;
                                         values[valuesById[1] = "CLOUD"] = 1;
                                         values[valuesById[2] = "MOBILE_VERSATILE_1"] = 2;
+                                        values[valuesById[3] = "MOBILE_JETSON_VERSATILE_1"] = 3;
+                                        values[valuesById[4] = "MOBILE_CORAL_VERSATILE_1"] = 4;
                                         return values;
                                     })();
     
@@ -210068,6 +216324,269 @@
                 return ResourceReference;
             })();
     
+            api.HttpBody = (function() {
+    
+                /**
+                 * Properties of a HttpBody.
+                 * @memberof google.api
+                 * @interface IHttpBody
+                 * @property {string|null} [contentType] HttpBody contentType
+                 * @property {Uint8Array|null} [data] HttpBody data
+                 * @property {Array.<google.protobuf.IAny>|null} [extensions] HttpBody extensions
+                 */
+    
+                /**
+                 * Constructs a new HttpBody.
+                 * @memberof google.api
+                 * @classdesc Represents a HttpBody.
+                 * @implements IHttpBody
+                 * @constructor
+                 * @param {google.api.IHttpBody=} [properties] Properties to set
+                 */
+                function HttpBody(properties) {
+                    this.extensions = [];
+                    if (properties)
+                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                            if (properties[keys[i]] != null)
+                                this[keys[i]] = properties[keys[i]];
+                }
+    
+                /**
+                 * HttpBody contentType.
+                 * @member {string} contentType
+                 * @memberof google.api.HttpBody
+                 * @instance
+                 */
+                HttpBody.prototype.contentType = "";
+    
+                /**
+                 * HttpBody data.
+                 * @member {Uint8Array} data
+                 * @memberof google.api.HttpBody
+                 * @instance
+                 */
+                HttpBody.prototype.data = $util.newBuffer([]);
+    
+                /**
+                 * HttpBody extensions.
+                 * @member {Array.<google.protobuf.IAny>} extensions
+                 * @memberof google.api.HttpBody
+                 * @instance
+                 */
+                HttpBody.prototype.extensions = $util.emptyArray;
+    
+                /**
+                 * Creates a new HttpBody instance using the specified properties.
+                 * @function create
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {google.api.IHttpBody=} [properties] Properties to set
+                 * @returns {google.api.HttpBody} HttpBody instance
+                 */
+                HttpBody.create = function create(properties) {
+                    return new HttpBody(properties);
+                };
+    
+                /**
+                 * Encodes the specified HttpBody message. Does not implicitly {@link google.api.HttpBody.verify|verify} messages.
+                 * @function encode
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {google.api.IHttpBody} message HttpBody message or plain object to encode
+                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                 * @returns {$protobuf.Writer} Writer
+                 */
+                HttpBody.encode = function encode(message, writer) {
+                    if (!writer)
+                        writer = $Writer.create();
+                    if (message.contentType != null && Object.hasOwnProperty.call(message, "contentType"))
+                        writer.uint32(/* id 1, wireType 2 =*/10).string(message.contentType);
+                    if (message.data != null && Object.hasOwnProperty.call(message, "data"))
+                        writer.uint32(/* id 2, wireType 2 =*/18).bytes(message.data);
+                    if (message.extensions != null && message.extensions.length)
+                        for (var i = 0; i < message.extensions.length; ++i)
+                            $root.google.protobuf.Any.encode(message.extensions[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                    return writer;
+                };
+    
+                /**
+                 * Encodes the specified HttpBody message, length delimited. Does not implicitly {@link google.api.HttpBody.verify|verify} messages.
+                 * @function encodeDelimited
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {google.api.IHttpBody} message HttpBody message or plain object to encode
+                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                 * @returns {$protobuf.Writer} Writer
+                 */
+                HttpBody.encodeDelimited = function encodeDelimited(message, writer) {
+                    return this.encode(message, writer).ldelim();
+                };
+    
+                /**
+                 * Decodes a HttpBody message from the specified reader or buffer.
+                 * @function decode
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                 * @param {number} [length] Message length if known beforehand
+                 * @returns {google.api.HttpBody} HttpBody
+                 * @throws {Error} If the payload is not a reader or valid buffer
+                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                 */
+                HttpBody.decode = function decode(reader, length) {
+                    if (!(reader instanceof $Reader))
+                        reader = $Reader.create(reader);
+                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.api.HttpBody();
+                    while (reader.pos < end) {
+                        var tag = reader.uint32();
+                        switch (tag >>> 3) {
+                        case 1:
+                            message.contentType = reader.string();
+                            break;
+                        case 2:
+                            message.data = reader.bytes();
+                            break;
+                        case 3:
+                            if (!(message.extensions && message.extensions.length))
+                                message.extensions = [];
+                            message.extensions.push($root.google.protobuf.Any.decode(reader, reader.uint32()));
+                            break;
+                        default:
+                            reader.skipType(tag & 7);
+                            break;
+                        }
+                    }
+                    return message;
+                };
+    
+                /**
+                 * Decodes a HttpBody message from the specified reader or buffer, length delimited.
+                 * @function decodeDelimited
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                 * @returns {google.api.HttpBody} HttpBody
+                 * @throws {Error} If the payload is not a reader or valid buffer
+                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                 */
+                HttpBody.decodeDelimited = function decodeDelimited(reader) {
+                    if (!(reader instanceof $Reader))
+                        reader = new $Reader(reader);
+                    return this.decode(reader, reader.uint32());
+                };
+    
+                /**
+                 * Verifies a HttpBody message.
+                 * @function verify
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {Object.<string,*>} message Plain object to verify
+                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                 */
+                HttpBody.verify = function verify(message) {
+                    if (typeof message !== "object" || message === null)
+                        return "object expected";
+                    if (message.contentType != null && message.hasOwnProperty("contentType"))
+                        if (!$util.isString(message.contentType))
+                            return "contentType: string expected";
+                    if (message.data != null && message.hasOwnProperty("data"))
+                        if (!(message.data && typeof message.data.length === "number" || $util.isString(message.data)))
+                            return "data: buffer expected";
+                    if (message.extensions != null && message.hasOwnProperty("extensions")) {
+                        if (!Array.isArray(message.extensions))
+                            return "extensions: array expected";
+                        for (var i = 0; i < message.extensions.length; ++i) {
+                            var error = $root.google.protobuf.Any.verify(message.extensions[i]);
+                            if (error)
+                                return "extensions." + error;
+                        }
+                    }
+                    return null;
+                };
+    
+                /**
+                 * Creates a HttpBody message from a plain object. Also converts values to their respective internal types.
+                 * @function fromObject
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {Object.<string,*>} object Plain object
+                 * @returns {google.api.HttpBody} HttpBody
+                 */
+                HttpBody.fromObject = function fromObject(object) {
+                    if (object instanceof $root.google.api.HttpBody)
+                        return object;
+                    var message = new $root.google.api.HttpBody();
+                    if (object.contentType != null)
+                        message.contentType = String(object.contentType);
+                    if (object.data != null)
+                        if (typeof object.data === "string")
+                            $util.base64.decode(object.data, message.data = $util.newBuffer($util.base64.length(object.data)), 0);
+                        else if (object.data.length)
+                            message.data = object.data;
+                    if (object.extensions) {
+                        if (!Array.isArray(object.extensions))
+                            throw TypeError(".google.api.HttpBody.extensions: array expected");
+                        message.extensions = [];
+                        for (var i = 0; i < object.extensions.length; ++i) {
+                            if (typeof object.extensions[i] !== "object")
+                                throw TypeError(".google.api.HttpBody.extensions: object expected");
+                            message.extensions[i] = $root.google.protobuf.Any.fromObject(object.extensions[i]);
+                        }
+                    }
+                    return message;
+                };
+    
+                /**
+                 * Creates a plain object from a HttpBody message. Also converts values to other types if specified.
+                 * @function toObject
+                 * @memberof google.api.HttpBody
+                 * @static
+                 * @param {google.api.HttpBody} message HttpBody
+                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                 * @returns {Object.<string,*>} Plain object
+                 */
+                HttpBody.toObject = function toObject(message, options) {
+                    if (!options)
+                        options = {};
+                    var object = {};
+                    if (options.arrays || options.defaults)
+                        object.extensions = [];
+                    if (options.defaults) {
+                        object.contentType = "";
+                        if (options.bytes === String)
+                            object.data = "";
+                        else {
+                            object.data = [];
+                            if (options.bytes !== Array)
+                                object.data = $util.newBuffer(object.data);
+                        }
+                    }
+                    if (message.contentType != null && message.hasOwnProperty("contentType"))
+                        object.contentType = message.contentType;
+                    if (message.data != null && message.hasOwnProperty("data"))
+                        object.data = options.bytes === String ? $util.base64.encode(message.data, 0, message.data.length) : options.bytes === Array ? Array.prototype.slice.call(message.data) : message.data;
+                    if (message.extensions && message.extensions.length) {
+                        object.extensions = [];
+                        for (var j = 0; j < message.extensions.length; ++j)
+                            object.extensions[j] = $root.google.protobuf.Any.toObject(message.extensions[j], options);
+                    }
+                    return object;
+                };
+    
+                /**
+                 * Converts this HttpBody to JSON.
+                 * @function toJSON
+                 * @memberof google.api.HttpBody
+                 * @instance
+                 * @returns {Object.<string,*>} JSON object
+                 */
+                HttpBody.prototype.toJSON = function toJSON() {
+                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                };
+    
+                return HttpBody;
+            })();
+    
             return api;
         })();
     
diff --git a/packages/google-cloud-aiplatform/protos/protos.json b/packages/google-cloud-aiplatform/protos/protos.json
index 1a022576f87..486333feff5 100644
--- a/packages/google-cloud-aiplatform/protos/protos.json
+++ b/packages/google-cloud-aiplatform/protos/protos.json
@@ -15,8 +15,8 @@
                     "java_package": "com.google.cloud.aiplatform.v1",
                     "php_namespace": "Google\\Cloud\\AIPlatform\\V1",
                     "ruby_package": "Google::Cloud::AIPlatform::V1",
-                    "(google.api.resource_definition).type": "datalabeling.googleapis.com/AnnotatedDataset",
-                    "(google.api.resource_definition).pattern": "projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}"
+                    "(google.api.resource_definition).type": "compute.googleapis.com/Network",
+                    "(google.api.resource_definition).pattern": "projects/{project}/global/networks/{network}"
                   },
                   "nested": {
                     "AcceleratorType": {
@@ -27,8 +27,7 @@
                         "NVIDIA_TESLA_V100": 3,
                         "NVIDIA_TESLA_P4": 4,
                         "NVIDIA_TESLA_T4": 5,
-                        "TPU_V2": 6,
-                        "TPU_V3": 7
+                        "NVIDIA_TESLA_A100": 8
                       }
                     },
                     "Annotation": {
@@ -163,6 +162,90 @@
                         }
                       }
                     },
+                    "Artifact": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/Artifact",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "displayName": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "uri": {
+                          "type": "string",
+                          "id": 6
+                        },
+                        "etag": {
+                          "type": "string",
+                          "id": 9
+                        },
+                        "labels": {
+                          "keyType": "string",
+                          "type": "string",
+                          "id": 10
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 11,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "updateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 12,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "state": {
+                          "type": "State",
+                          "id": 13
+                        }
+                      },
+                      "nested": {
+                        "State": {
+                          "values": {
+                            "STATE_UNSPECIFIED": 0,
+                            "PENDING": 1,
+                            "LIVE": 2
+                          }
+                        }
+                      }
+                    },
+                    "Value": {
+                      "oneofs": {
+                        "value": {
+                          "oneof": [
+                            "intValue",
+                            "doubleValue",
+                            "stringValue"
+                          ]
+                        }
+                      },
+                      "fields": {
+                        "intValue": {
+                          "type": "int64",
+                          "id": 1
+                        },
+                        "doubleValue": {
+                          "type": "double",
+                          "id": 2
+                        },
+                        "stringValue": {
+                          "type": "string",
+                          "id": 3
+                        }
+                      }
+                    },
                     "BatchPredictionJob": {
                       "options": {
                         "(google.api.resource).type": "aiplatform.googleapis.com/BatchPredictionJob",
@@ -379,6 +462,13 @@
                               "options": {
                                 "(google.api.field_behavior)": "OUTPUT_ONLY"
                               }
+                            },
+                            "bigqueryOutputTable": {
+                              "type": "string",
+                              "id": 4,
+                              "options": {
+                                "(google.api.field_behavior)": "OUTPUT_ONLY"
+                              }
                             }
                           }
                         }
@@ -486,7 +576,8 @@
                         "JOB_STATE_FAILED": 5,
                         "JOB_STATE_CANCELLING": 6,
                         "JOB_STATE_CANCELLED": 7,
-                        "JOB_STATE_PAUSED": 8
+                        "JOB_STATE_PAUSED": 8,
+                        "JOB_STATE_EXPIRED": 9
                       }
                     },
                     "MachineSpec": {
@@ -533,6 +624,14 @@
                           "options": {
                             "(google.api.field_behavior)": "IMMUTABLE"
                           }
+                        },
+                        "autoscalingMetricSpecs": {
+                          "rule": "repeated",
+                          "type": "AutoscalingMetricSpec",
+                          "id": 4,
+                          "options": {
+                            "(google.api.field_behavior)": "IMMUTABLE"
+                          }
                         }
                       }
                     },
@@ -602,6 +701,21 @@
                         }
                       }
                     },
+                    "AutoscalingMetricSpec": {
+                      "fields": {
+                        "metricName": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "target": {
+                          "type": "int32",
+                          "id": 2
+                        }
+                      }
+                    },
                     "ManualBatchTuningParameters": {
                       "fields": {
                         "batchSize": {
@@ -613,6 +727,57 @@
                         }
                       }
                     },
+                    "Context": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/Context",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "displayName": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "etag": {
+                          "type": "string",
+                          "id": 8
+                        },
+                        "labels": {
+                          "keyType": "string",
+                          "type": "string",
+                          "id": 9
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 10,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "updateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 11,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "parentContexts": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 12,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/Context"
+                          }
+                        }
+                      }
+                    },
                     "CustomJob": {
                       "options": {
                         "(google.api.resource).type": "aiplatform.googleapis.com/CustomJob",
@@ -713,7 +878,10 @@
                         },
                         "network": {
                           "type": "string",
-                          "id": 5
+                          "id": 5,
+                          "options": {
+                            "(google.api.resource_reference).type": "compute.googleapis.com/Network"
+                          }
                         },
                         "baseOutputDirectory": {
                           "type": "GcsDestination",
@@ -2830,6 +2998,65 @@
                         }
                       }
                     },
+                    "Execution": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/Execution",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "displayName": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "state": {
+                          "type": "State",
+                          "id": 6
+                        },
+                        "etag": {
+                          "type": "string",
+                          "id": 9
+                        },
+                        "labels": {
+                          "keyType": "string",
+                          "type": "string",
+                          "id": 10
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 11,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "updateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 12,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      },
+                      "nested": {
+                        "State": {
+                          "values": {
+                            "STATE_UNSPECIFIED": 0,
+                            "NEW": 1,
+                            "RUNNING": 2,
+                            "COMPLETE": 3,
+                            "FAILED": 4,
+                            "CACHED": 5,
+                            "CANCELLED": 6
+                          }
+                        }
+                      }
+                    },
                     "HyperparameterTuningJob": {
                       "options": {
                         "(google.api.resource).type": "aiplatform.googleapis.com/HyperparameterTuningJob",
@@ -2949,6 +3176,13 @@
                         "(google.api.resource).pattern": "projects/{project}/locations/{location}/studies/{study}/trials/{trial}"
                       },
                       "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "id": {
                           "type": "string",
                           "id": 2,
@@ -2978,6 +3212,14 @@
                             "(google.api.field_behavior)": "OUTPUT_ONLY"
                           }
                         },
+                        "measurements": {
+                          "rule": "repeated",
+                          "type": "Measurement",
+                          "id": 6,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "startTime": {
                           "type": "google.protobuf.Timestamp",
                           "id": 7,
@@ -2992,17 +3234,31 @@
                             "(google.api.field_behavior)": "OUTPUT_ONLY"
                           }
                         },
-                        "customJob": {
+                        "clientId": {
                           "type": "string",
-                          "id": 11,
+                          "id": 9,
                           "options": {
-                            "(google.api.field_behavior)": "OUTPUT_ONLY",
-                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/CustomJob"
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
                           }
-                        }
-                      },
-                      "nested": {
-                        "Parameter": {
+                        },
+                        "infeasibleReason": {
+                          "type": "string",
+                          "id": 10,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "customJob": {
+                          "type": "string",
+                          "id": 11,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/CustomJob"
+                          }
+                        }
+                      },
+                      "nested": {
+                        "Parameter": {
                           "fields": {
                             "parameterId": {
                               "type": "string",
@@ -3138,6 +3394,13 @@
                           },
                           "nested": {
                             "DoubleValueSpec": {
+                              "oneofs": {
+                                "_defaultValue": {
+                                  "oneof": [
+                                    "defaultValue"
+                                  ]
+                                }
+                              },
                               "fields": {
                                 "minValue": {
                                   "type": "double",
@@ -3152,10 +3415,24 @@
                                   "options": {
                                     "(google.api.field_behavior)": "REQUIRED"
                                   }
+                                },
+                                "defaultValue": {
+                                  "type": "double",
+                                  "id": 4,
+                                  "options": {
+                                    "proto3_optional": true
+                                  }
                                 }
                               }
                             },
                             "IntegerValueSpec": {
+                              "oneofs": {
+                                "_defaultValue": {
+                                  "oneof": [
+                                    "defaultValue"
+                                  ]
+                                }
+                              },
                               "fields": {
                                 "minValue": {
                                   "type": "int64",
@@ -3170,10 +3447,24 @@
                                   "options": {
                                     "(google.api.field_behavior)": "REQUIRED"
                                   }
+                                },
+                                "defaultValue": {
+                                  "type": "int64",
+                                  "id": 4,
+                                  "options": {
+                                    "proto3_optional": true
+                                  }
                                 }
                               }
                             },
                             "CategoricalValueSpec": {
+                              "oneofs": {
+                                "_defaultValue": {
+                                  "oneof": [
+                                    "defaultValue"
+                                  ]
+                                }
+                              },
                               "fields": {
                                 "values": {
                                   "rule": "repeated",
@@ -3182,10 +3473,24 @@
                                   "options": {
                                     "(google.api.field_behavior)": "REQUIRED"
                                   }
+                                },
+                                "defaultValue": {
+                                  "type": "string",
+                                  "id": 3,
+                                  "options": {
+                                    "proto3_optional": true
+                                  }
                                 }
                               }
                             },
                             "DiscreteValueSpec": {
+                              "oneofs": {
+                                "_defaultValue": {
+                                  "oneof": [
+                                    "defaultValue"
+                                  ]
+                                }
+                              },
                               "fields": {
                                 "values": {
                                   "rule": "repeated",
@@ -3194,6 +3499,13 @@
                                   "options": {
                                     "(google.api.field_behavior)": "REQUIRED"
                                   }
+                                },
+                                "defaultValue": {
+                                  "type": "double",
+                                  "id": 3,
+                                  "options": {
+                                    "proto3_optional": true
+                                  }
                                 }
                               }
                             },
@@ -3302,6 +3614,13 @@
                     },
                     "Measurement": {
                       "fields": {
+                        "elapsedDuration": {
+                          "type": "google.protobuf.Duration",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "stepCount": {
                           "type": "int64",
                           "id": 2,
@@ -5238,18 +5557,343 @@
                           "type": "google.protobuf.FieldMask",
                           "id": 5
                         }
-                      }
-                    },
-                    "ListModelEvaluationSlicesResponse": {
-                      "fields": {
-                        "modelEvaluationSlices": {
-                          "rule": "repeated",
-                          "type": "ModelEvaluationSlice",
-                          "id": 1
+                      }
+                    },
+                    "ListModelEvaluationSlicesResponse": {
+                      "fields": {
+                        "modelEvaluationSlices": {
+                          "rule": "repeated",
+                          "type": "ModelEvaluationSlice",
+                          "id": 1
+                        },
+                        "nextPageToken": {
+                          "type": "string",
+                          "id": 2
+                        }
+                      }
+                    },
+                    "PipelineJob": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/PipelineJob",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "displayName": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 3,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "startTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 4,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "endTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "updateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 6,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "pipelineSpec": {
+                          "type": "google.protobuf.Struct",
+                          "id": 7,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "state": {
+                          "type": "PipelineState",
+                          "id": 8,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "jobDetail": {
+                          "type": "PipelineJobDetail",
+                          "id": 9,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "error": {
+                          "type": "google.rpc.Status",
+                          "id": 10,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "labels": {
+                          "keyType": "string",
+                          "type": "string",
+                          "id": 11
+                        },
+                        "runtimeConfig": {
+                          "type": "RuntimeConfig",
+                          "id": 12
+                        },
+                        "encryptionSpec": {
+                          "type": "EncryptionSpec",
+                          "id": 16
+                        },
+                        "serviceAccount": {
+                          "type": "string",
+                          "id": 17
+                        },
+                        "network": {
+                          "type": "string",
+                          "id": 18,
+                          "options": {
+                            "(google.api.resource_reference).type": "compute.googleapis.com/Network"
+                          }
+                        }
+                      },
+                      "nested": {
+                        "RuntimeConfig": {
+                          "fields": {
+                            "parameters": {
+                              "keyType": "string",
+                              "type": "google.cloud.aiplatform.v1.Value",
+                              "id": 1
+                            },
+                            "gcsOutputDirectory": {
+                              "type": "string",
+                              "id": 2,
+                              "options": {
+                                "(google.api.field_behavior)": "REQUIRED"
+                              }
+                            }
+                          }
+                        }
+                      }
+                    },
+                    "PipelineJobDetail": {
+                      "fields": {
+                        "pipelineContext": {
+                          "type": "google.cloud.aiplatform.v1.Context",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "pipelineRunContext": {
+                          "type": "google.cloud.aiplatform.v1.Context",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "taskDetails": {
+                          "rule": "repeated",
+                          "type": "PipelineTaskDetail",
+                          "id": 3,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
+                    "PipelineTaskDetail": {
+                      "fields": {
+                        "taskId": {
+                          "type": "int64",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "parentTaskId": {
+                          "type": "int64",
+                          "id": 12,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "taskName": {
+                          "type": "string",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 3,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "startTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 4,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "endTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "executorDetail": {
+                          "type": "PipelineTaskExecutorDetail",
+                          "id": 6,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "state": {
+                          "type": "State",
+                          "id": 7,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "execution": {
+                          "type": "google.cloud.aiplatform.v1.Execution",
+                          "id": 8,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "error": {
+                          "type": "google.rpc.Status",
+                          "id": 9,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "inputs": {
+                          "keyType": "string",
+                          "type": "ArtifactList",
+                          "id": 10,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "outputs": {
+                          "keyType": "string",
+                          "type": "ArtifactList",
+                          "id": 11,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      },
+                      "nested": {
+                        "ArtifactList": {
+                          "fields": {
+                            "artifacts": {
+                              "rule": "repeated",
+                              "type": "google.cloud.aiplatform.v1.Artifact",
+                              "id": 1,
+                              "options": {
+                                "(google.api.field_behavior)": "OUTPUT_ONLY"
+                              }
+                            }
+                          }
+                        },
+                        "State": {
+                          "values": {
+                            "STATE_UNSPECIFIED": 0,
+                            "PENDING": 1,
+                            "RUNNING": 2,
+                            "SUCCEEDED": 3,
+                            "CANCEL_PENDING": 4,
+                            "CANCELLING": 5,
+                            "CANCELLED": 6,
+                            "FAILED": 7,
+                            "SKIPPED": 8,
+                            "NOT_TRIGGERED": 9
+                          }
+                        }
+                      }
+                    },
+                    "PipelineTaskExecutorDetail": {
+                      "oneofs": {
+                        "details": {
+                          "oneof": [
+                            "containerDetail",
+                            "customJobDetail"
+                          ]
+                        }
+                      },
+                      "fields": {
+                        "containerDetail": {
+                          "type": "ContainerDetail",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "customJobDetail": {
+                          "type": "CustomJobDetail",
+                          "id": 2,
+                          "options": {
+                            "deprecated": true,
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      },
+                      "nested": {
+                        "ContainerDetail": {
+                          "fields": {
+                            "mainJob": {
+                              "type": "string",
+                              "id": 1,
+                              "options": {
+                                "(google.api.field_behavior)": "OUTPUT_ONLY",
+                                "(google.api.resource_reference).type": "aiplatform.googleapis.com/CustomJob"
+                              }
+                            },
+                            "preCachingCheckJob": {
+                              "type": "string",
+                              "id": 2,
+                              "options": {
+                                "(google.api.field_behavior)": "OUTPUT_ONLY",
+                                "(google.api.resource_reference).type": "aiplatform.googleapis.com/CustomJob"
+                              }
+                            }
+                          }
                         },
-                        "nextPageToken": {
-                          "type": "string",
-                          "id": 2
+                        "CustomJobDetail": {
+                          "options": {
+                            "deprecated": true
+                          },
+                          "fields": {
+                            "job": {
+                              "type": "string",
+                              "id": 1,
+                              "options": {
+                                "(google.api.field_behavior)": "OUTPUT_ONLY",
+                                "(google.api.resource_reference).type": "aiplatform.googleapis.com/CustomJob"
+                              }
+                            }
+                          }
                         }
                       }
                     },
@@ -5360,6 +6004,108 @@
                               "(google.api.method_signature)": "name"
                             }
                           ]
+                        },
+                        "CreatePipelineJob": {
+                          "requestType": "CreatePipelineJobRequest",
+                          "responseType": "google.cloud.aiplatform.v1.PipelineJob",
+                          "options": {
+                            "(google.api.http).post": "/v1/{parent=projects/*/locations/*}/pipelineJobs",
+                            "(google.api.http).body": "pipeline_job",
+                            "(google.api.method_signature)": "parent,pipeline_job,pipeline_job_id"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "post": "/v1/{parent=projects/*/locations/*}/pipelineJobs",
+                                "body": "pipeline_job"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "parent,pipeline_job,pipeline_job_id"
+                            }
+                          ]
+                        },
+                        "GetPipelineJob": {
+                          "requestType": "GetPipelineJobRequest",
+                          "responseType": "google.cloud.aiplatform.v1.PipelineJob",
+                          "options": {
+                            "(google.api.http).get": "/v1/{name=projects/*/locations/*/pipelineJobs/*}",
+                            "(google.api.method_signature)": "name"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "get": "/v1/{name=projects/*/locations/*/pipelineJobs/*}"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "name"
+                            }
+                          ]
+                        },
+                        "ListPipelineJobs": {
+                          "requestType": "ListPipelineJobsRequest",
+                          "responseType": "ListPipelineJobsResponse",
+                          "options": {
+                            "(google.api.http).get": "/v1/{parent=projects/*/locations/*}/pipelineJobs",
+                            "(google.api.method_signature)": "parent"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "get": "/v1/{parent=projects/*/locations/*}/pipelineJobs"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "parent"
+                            }
+                          ]
+                        },
+                        "DeletePipelineJob": {
+                          "requestType": "DeletePipelineJobRequest",
+                          "responseType": "google.longrunning.Operation",
+                          "options": {
+                            "(google.api.http).delete": "/v1/{name=projects/*/locations/*/pipelineJobs/*}",
+                            "(google.api.method_signature)": "name",
+                            "(google.longrunning.operation_info).response_type": "google.protobuf.Empty",
+                            "(google.longrunning.operation_info).metadata_type": "DeleteOperationMetadata"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "delete": "/v1/{name=projects/*/locations/*/pipelineJobs/*}"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "name"
+                            },
+                            {
+                              "(google.longrunning.operation_info)": {
+                                "response_type": "google.protobuf.Empty",
+                                "metadata_type": "DeleteOperationMetadata"
+                              }
+                            }
+                          ]
+                        },
+                        "CancelPipelineJob": {
+                          "requestType": "CancelPipelineJobRequest",
+                          "responseType": "google.protobuf.Empty",
+                          "options": {
+                            "(google.api.http).post": "/v1/{name=projects/*/locations/*/pipelineJobs/*}:cancel",
+                            "(google.api.http).body": "*",
+                            "(google.api.method_signature)": "name"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "post": "/v1/{name=projects/*/locations/*/pipelineJobs/*}:cancel",
+                                "body": "*"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "name"
+                            }
+                          ]
                         }
                       }
                     },
@@ -5459,6 +6205,102 @@
                         }
                       }
                     },
+                    "CreatePipelineJobRequest": {
+                      "fields": {
+                        "parent": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "locations.googleapis.com/Location"
+                          }
+                        },
+                        "pipelineJob": {
+                          "type": "google.cloud.aiplatform.v1.PipelineJob",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "pipelineJobId": {
+                          "type": "string",
+                          "id": 3
+                        }
+                      }
+                    },
+                    "GetPipelineJobRequest": {
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/PipelineJob"
+                          }
+                        }
+                      }
+                    },
+                    "ListPipelineJobsRequest": {
+                      "fields": {
+                        "parent": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "locations.googleapis.com/Location"
+                          }
+                        },
+                        "filter": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "pageSize": {
+                          "type": "int32",
+                          "id": 3
+                        },
+                        "pageToken": {
+                          "type": "string",
+                          "id": 4
+                        }
+                      }
+                    },
+                    "ListPipelineJobsResponse": {
+                      "fields": {
+                        "pipelineJobs": {
+                          "rule": "repeated",
+                          "type": "google.cloud.aiplatform.v1.PipelineJob",
+                          "id": 1
+                        },
+                        "nextPageToken": {
+                          "type": "string",
+                          "id": 2
+                        }
+                      }
+                    },
+                    "DeletePipelineJobRequest": {
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/PipelineJob"
+                          }
+                        }
+                      }
+                    },
+                    "CancelPipelineJobRequest": {
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/PipelineJob"
+                          }
+                        }
+                      }
+                    },
                     "PredictionService": {
                       "options": {
                         "(google.api.default_host)": "aiplatform.googleapis.com",
@@ -5471,17 +6313,23 @@
                           "options": {
                             "(google.api.http).post": "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predict",
                             "(google.api.http).body": "*",
-                            "(google.api.method_signature)": "endpoint,instances,parameters"
+                            "(google.api.http).additional_bindings.post": "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predictInternal",
+                            "(google.api.http).additional_bindings.body": "*",
+                            "(google.api.method_signature)": "endpoint,parameters,instances"
                           },
                           "parsedOptions": [
                             {
                               "(google.api.http)": {
                                 "post": "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predict",
-                                "body": "*"
+                                "body": "*",
+                                "additional_bindings": {
+                                  "post": "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predictInternal",
+                                  "body": "*"
+                                }
                               }
                             },
                             {
-                              "(google.api.method_signature)": "endpoint,instances,parameters"
+                              "(google.api.method_signature)": "endpoint,parameters,instances"
                             }
                           ]
                         }
@@ -6281,6 +7129,11 @@
                                     "exportEvaluatedDataItemsConfig": {
                                       "type": "ExportEvaluatedDataItemsConfig",
                                       "id": 10
+                                    },
+                                    "additionalExperiments": {
+                                      "rule": "repeated",
+                                      "type": "string",
+                                      "id": 11
                                     }
                                   },
                                   "nested": {
@@ -6501,7 +7354,9 @@
                                       "values": {
                                         "MODEL_TYPE_UNSPECIFIED": 0,
                                         "CLOUD": 1,
-                                        "MOBILE_VERSATILE_1": 2
+                                        "MOBILE_VERSATILE_1": 2,
+                                        "MOBILE_JETSON_VERSATILE_1": 3,
+                                        "MOBILE_CORAL_VERSATILE_1": 4
                                       }
                                     }
                                   }
@@ -22755,9 +23610,9 @@
         },
         "api": {
           "options": {
-            "go_package": "google.golang.org/genproto/googleapis/api/annotations;annotations",
+            "go_package": "google.golang.org/genproto/googleapis/api/httpbody;httpbody",
             "java_multiple_files": true,
-            "java_outer_classname": "ClientProto",
+            "java_outer_classname": "HttpBodyProto",
             "java_package": "com.google.api",
             "objc_class_prefix": "GAPI",
             "cc_enable_arenas": true
@@ -22959,6 +23814,23 @@
               "type": "string",
               "id": 1050,
               "extend": "google.protobuf.ServiceOptions"
+            },
+            "HttpBody": {
+              "fields": {
+                "contentType": {
+                  "type": "string",
+                  "id": 1
+                },
+                "data": {
+                  "type": "bytes",
+                  "id": 2
+                },
+                "extensions": {
+                  "rule": "repeated",
+                  "type": "google.protobuf.Any",
+                  "id": 3
+                }
+              }
             }
           }
         },
diff --git a/packages/google-cloud-aiplatform/src/v1/dataset_service_client.ts b/packages/google-cloud-aiplatform/src/v1/dataset_service_client.ts
index df358eb8654..eea282b0f9f 100644
--- a/packages/google-cloud-aiplatform/src/v1/dataset_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/dataset_service_client.ts
@@ -160,9 +160,15 @@ export class DatasetServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -178,6 +184,9 @@ export class DatasetServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -193,6 +202,9 @@ export class DatasetServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -2150,6 +2162,74 @@ export class DatasetServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -2211,6 +2291,74 @@ export class DatasetServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -2488,6 +2636,77 @@ export class DatasetServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -2806,6 +3025,58 @@ export class DatasetServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/dataset_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/dataset_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/dataset_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/dataset_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/endpoint_service_client.ts b/packages/google-cloud-aiplatform/src/v1/endpoint_service_client.ts
index 550f43b2a17..051d234b5f1 100644
--- a/packages/google-cloud-aiplatform/src/v1/endpoint_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/endpoint_service_client.ts
@@ -160,9 +160,15 @@ export class EndpointServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -178,6 +184,9 @@ export class EndpointServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -193,6 +202,9 @@ export class EndpointServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -1644,6 +1656,74 @@ export class EndpointServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -1705,6 +1785,74 @@ export class EndpointServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -1982,6 +2130,77 @@ export class EndpointServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -2300,6 +2519,58 @@ export class EndpointServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/endpoint_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/endpoint_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/endpoint_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/endpoint_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/gapic_metadata.json b/packages/google-cloud-aiplatform/src/v1/gapic_metadata.json
index 0e3b8d5dbbf..6ff43fcc0a0 100644
--- a/packages/google-cloud-aiplatform/src/v1/gapic_metadata.json
+++ b/packages/google-cloud-aiplatform/src/v1/gapic_metadata.json
@@ -633,17 +633,44 @@
                 "cancelTrainingPipeline"
               ]
             },
+            "CreatePipelineJob": {
+              "methods": [
+                "createPipelineJob"
+              ]
+            },
+            "GetPipelineJob": {
+              "methods": [
+                "getPipelineJob"
+              ]
+            },
+            "CancelPipelineJob": {
+              "methods": [
+                "cancelPipelineJob"
+              ]
+            },
             "DeleteTrainingPipeline": {
               "methods": [
                 "deleteTrainingPipeline"
               ]
             },
+            "DeletePipelineJob": {
+              "methods": [
+                "deletePipelineJob"
+              ]
+            },
             "ListTrainingPipelines": {
               "methods": [
                 "listTrainingPipelines",
                 "listTrainingPipelinesStream",
                 "listTrainingPipelinesAsync"
               ]
+            },
+            "ListPipelineJobs": {
+              "methods": [
+                "listPipelineJobs",
+                "listPipelineJobsStream",
+                "listPipelineJobsAsync"
+              ]
             }
           }
         },
@@ -665,17 +692,44 @@
                 "cancelTrainingPipeline"
               ]
             },
+            "CreatePipelineJob": {
+              "methods": [
+                "createPipelineJob"
+              ]
+            },
+            "GetPipelineJob": {
+              "methods": [
+                "getPipelineJob"
+              ]
+            },
+            "CancelPipelineJob": {
+              "methods": [
+                "cancelPipelineJob"
+              ]
+            },
             "DeleteTrainingPipeline": {
               "methods": [
                 "deleteTrainingPipeline"
               ]
             },
+            "DeletePipelineJob": {
+              "methods": [
+                "deletePipelineJob"
+              ]
+            },
             "ListTrainingPipelines": {
               "methods": [
                 "listTrainingPipelines",
                 "listTrainingPipelinesStream",
                 "listTrainingPipelinesAsync"
               ]
+            },
+            "ListPipelineJobs": {
+              "methods": [
+                "listPipelineJobs",
+                "listPipelineJobsStream",
+                "listPipelineJobsAsync"
+              ]
             }
           }
         }
diff --git a/packages/google-cloud-aiplatform/src/v1/job_service_client.ts b/packages/google-cloud-aiplatform/src/v1/job_service_client.ts
index 3a80adafbc8..a7b340a0979 100644
--- a/packages/google-cloud-aiplatform/src/v1/job_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/job_service_client.ts
@@ -161,9 +161,15 @@ export class JobServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -179,6 +185,9 @@ export class JobServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -194,6 +203,9 @@ export class JobServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -3488,6 +3500,74 @@ export class JobServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -3549,6 +3629,74 @@ export class JobServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -3826,6 +3974,77 @@ export class JobServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -4144,6 +4363,58 @@ export class JobServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/job_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/job_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/job_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/job_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/migration_service_client.ts b/packages/google-cloud-aiplatform/src/v1/migration_service_client.ts
index 1cd4a231713..e8201573c6d 100644
--- a/packages/google-cloud-aiplatform/src/v1/migration_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/migration_service_client.ts
@@ -162,9 +162,15 @@ export class MigrationServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -180,6 +186,9 @@ export class MigrationServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -195,6 +204,9 @@ export class MigrationServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -943,6 +955,74 @@ export class MigrationServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -1004,6 +1084,74 @@ export class MigrationServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -1281,6 +1429,77 @@ export class MigrationServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -1599,6 +1818,58 @@ export class MigrationServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/migration_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/migration_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/migration_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/migration_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/model_service_client.ts b/packages/google-cloud-aiplatform/src/v1/model_service_client.ts
index 7141188bb30..157d6ae5da8 100644
--- a/packages/google-cloud-aiplatform/src/v1/model_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/model_service_client.ts
@@ -161,9 +161,15 @@ export class ModelServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -179,6 +185,9 @@ export class ModelServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -194,6 +203,9 @@ export class ModelServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -2105,6 +2117,74 @@ export class ModelServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -2166,6 +2246,74 @@ export class ModelServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -2443,6 +2591,77 @@ export class ModelServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -2761,6 +2980,58 @@ export class ModelServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/model_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/model_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/model_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/model_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/pipeline_service_client.ts b/packages/google-cloud-aiplatform/src/v1/pipeline_service_client.ts
index 8934451b438..7649e8fb55d 100644
--- a/packages/google-cloud-aiplatform/src/v1/pipeline_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/pipeline_service_client.ts
@@ -163,9 +163,15 @@ export class PipelineServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -181,6 +187,9 @@ export class PipelineServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -196,6 +205,9 @@ export class PipelineServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -216,6 +228,11 @@ export class PipelineServiceClient {
         'nextPageToken',
         'trainingPipelines'
       ),
+      listPipelineJobs: new this._gaxModule.PageDescriptor(
+        'pageToken',
+        'nextPageToken',
+        'pipelineJobs'
+      ),
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
@@ -236,6 +253,12 @@ export class PipelineServiceClient {
     const deleteTrainingPipelineMetadata = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.DeleteOperationMetadata'
     ) as gax.protobuf.Type;
+    const deletePipelineJobResponse = protoFilesRoot.lookup(
+      '.google.protobuf.Empty'
+    ) as gax.protobuf.Type;
+    const deletePipelineJobMetadata = protoFilesRoot.lookup(
+      '.google.cloud.aiplatform.v1.DeleteOperationMetadata'
+    ) as gax.protobuf.Type;
 
     this.descriptors.longrunning = {
       deleteTrainingPipeline: new this._gaxModule.LongrunningDescriptor(
@@ -247,6 +270,11 @@ export class PipelineServiceClient {
           deleteTrainingPipelineMetadata
         )
       ),
+      deletePipelineJob: new this._gaxModule.LongrunningDescriptor(
+        this.operationsClient,
+        deletePipelineJobResponse.decode.bind(deletePipelineJobResponse),
+        deletePipelineJobMetadata.decode.bind(deletePipelineJobMetadata)
+      ),
     };
 
     // Put together the default options sent with requests.
@@ -300,6 +328,11 @@ export class PipelineServiceClient {
       'listTrainingPipelines',
       'deleteTrainingPipeline',
       'cancelTrainingPipeline',
+      'createPipelineJob',
+      'getPipelineJob',
+      'listPipelineJobs',
+      'deletePipelineJob',
+      'cancelPipelineJob',
     ];
     for (const methodName of pipelineServiceStubMethods) {
       const callPromise = this.pipelineServiceStub.then(
@@ -695,6 +728,302 @@ export class PipelineServiceClient {
       callback
     );
   }
+  createPipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest | undefined,
+      {} | undefined
+    ]
+  >;
+  createPipelineJob(
+    request: protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest,
+    options: CallOptions,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      | protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  createPipelineJob(
+    request: protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      | protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  /**
+   * Creates a PipelineJob. A PipelineJob will run immediately when created.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to create the PipelineJob in.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {google.cloud.aiplatform.v1.PipelineJob} request.pipelineJob
+   *   Required. The PipelineJob to create.
+   * @param {string} request.pipelineJobId
+   *   The ID to use for the PipelineJob, which will become the final component of
+   *   the PipelineJob name. If not provided, an ID will be automatically
+   *   generated.
+   *
+   *   This value should be less than 128 characters, and valid characters
+   *   are /{@link 0-9|a-z}-/.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [PipelineJob]{@link google.cloud.aiplatform.v1.PipelineJob}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * const [response] = await client.createPipelineJob(request);
+   */
+  createPipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          protos.google.cloud.aiplatform.v1.IPipelineJob,
+          | protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      | protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      protos.google.cloud.aiplatform.v1.ICreatePipelineJobRequest | undefined,
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.createPipelineJob(request, options, callback);
+  }
+  getPipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest | undefined,
+      {} | undefined
+    ]
+  >;
+  getPipelineJob(
+    request: protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest,
+    options: CallOptions,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      | protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  getPipelineJob(
+    request: protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      | protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  /**
+   * Gets a PipelineJob.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Required. The name of the PipelineJob resource.
+   *   Format:
+   *   `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [PipelineJob]{@link google.cloud.aiplatform.v1.PipelineJob}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * const [response] = await client.getPipelineJob(request);
+   */
+  getPipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          protos.google.cloud.aiplatform.v1.IPipelineJob,
+          | protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      | protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IPipelineJob,
+      protos.google.cloud.aiplatform.v1.IGetPipelineJobRequest | undefined,
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        name: request.name || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.getPipelineJob(request, options, callback);
+  }
+  cancelPipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.protobuf.IEmpty,
+      protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest | undefined,
+      {} | undefined
+    ]
+  >;
+  cancelPipelineJob(
+    request: protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest,
+    options: CallOptions,
+    callback: Callback<
+      protos.google.protobuf.IEmpty,
+      | protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  cancelPipelineJob(
+    request: protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest,
+    callback: Callback<
+      protos.google.protobuf.IEmpty,
+      | protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  /**
+   * Cancels a PipelineJob.
+   * Starts asynchronous cancellation on the PipelineJob. The server
+   * makes a best effort to cancel the pipeline, but success is not
+   * guaranteed. Clients can use {@link google.cloud.aiplatform.v1.PipelineService.GetPipelineJob|PipelineService.GetPipelineJob} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * pipeline completed despite cancellation. On successful cancellation,
+   * the PipelineJob is not deleted; instead it becomes a pipeline with
+   * a {@link google.cloud.aiplatform.v1.PipelineJob.error|PipelineJob.error} value with a {@link google.rpc.Status.code|google.rpc.Status.code} of 1,
+   * corresponding to `Code.CANCELLED`, and {@link google.cloud.aiplatform.v1.PipelineJob.state|PipelineJob.state} is set to
+   * `CANCELLED`.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Required. The name of the PipelineJob to cancel.
+   *   Format:
+   *   `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Empty]{@link google.protobuf.Empty}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * const [response] = await client.cancelPipelineJob(request);
+   */
+  cancelPipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          protos.google.protobuf.IEmpty,
+          | protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.IEmpty,
+      | protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      protos.google.protobuf.IEmpty,
+      protos.google.cloud.aiplatform.v1.ICancelPipelineJobRequest | undefined,
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        name: request.name || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.cancelPipelineJob(request, options, callback);
+  }
 
   deleteTrainingPipeline(
     request?: protos.google.cloud.aiplatform.v1.IDeleteTrainingPipelineRequest,
@@ -821,129 +1150,556 @@ export class PipelineServiceClient {
    * console.log(decodedOperation.done);
    * console.log(decodedOperation.metadata);
    */
-  async checkDeleteTrainingPipelineProgress(
-    name: string
-  ): Promise<
-    LROperation<
-      protos.google.protobuf.Empty,
-      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
-    >
-  > {
-    const request = new operationsProtos.google.longrunning.GetOperationRequest(
-      {name}
-    );
-    const [operation] = await this.operationsClient.getOperation(request);
-    const decodeOperation = new gax.Operation(
-      operation,
-      this.descriptors.longrunning.deleteTrainingPipeline,
-      gax.createDefaultBackoffSettings()
-    );
-    return decodeOperation as LROperation<
-      protos.google.protobuf.Empty,
-      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
-    >;
-  }
-  listTrainingPipelines(
+  async checkDeleteTrainingPipelineProgress(
+    name: string
+  ): Promise<
+    LROperation<
+      protos.google.protobuf.Empty,
+      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
+    >
+  > {
+    const request = new operationsProtos.google.longrunning.GetOperationRequest(
+      {name}
+    );
+    const [operation] = await this.operationsClient.getOperation(request);
+    const decodeOperation = new gax.Operation(
+      operation,
+      this.descriptors.longrunning.deleteTrainingPipeline,
+      gax.createDefaultBackoffSettings()
+    );
+    return decodeOperation as LROperation<
+      protos.google.protobuf.Empty,
+      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
+    >;
+  }
+  deletePipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.IDeletePipelineJobRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | undefined,
+      {} | undefined
+    ]
+  >;
+  deletePipelineJob(
+    request: protos.google.cloud.aiplatform.v1.IDeletePipelineJobRequest,
+    options: CallOptions,
+    callback: Callback<
+      LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | null | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  deletePipelineJob(
+    request: protos.google.cloud.aiplatform.v1.IDeletePipelineJobRequest,
+    callback: Callback<
+      LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | null | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  /**
+   * Deletes a PipelineJob.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Required. The name of the PipelineJob resource to be deleted.
+   *   Format:
+   *   `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   *   a long running operation. Its `promise()` method returns a promise
+   *   you can `await` for.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations)
+   *   for more details and examples.
+   * @example
+   * const [operation] = await client.deletePipelineJob(request);
+   * const [response] = await operation.promise();
+   */
+  deletePipelineJob(
+    request?: protos.google.cloud.aiplatform.v1.IDeletePipelineJobRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          LROperation<
+            protos.google.protobuf.IEmpty,
+            protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+          >,
+          protos.google.longrunning.IOperation | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | undefined,
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        name: request.name || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.deletePipelineJob(request, options, callback);
+  }
+  /**
+   * Check the status of the long running operation returned by `deletePipelineJob()`.
+   * @param {String} name
+   *   The operation name that will be passed.
+   * @returns {Promise} - The promise which resolves to an object.
+   *   The decoded operation object has result and metadata field to get information from.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations)
+   *   for more details and examples.
+   * @example
+   * const decodedOperation = await checkDeletePipelineJobProgress(name);
+   * console.log(decodedOperation.result);
+   * console.log(decodedOperation.done);
+   * console.log(decodedOperation.metadata);
+   */
+  async checkDeletePipelineJobProgress(
+    name: string
+  ): Promise<
+    LROperation<
+      protos.google.protobuf.Empty,
+      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
+    >
+  > {
+    const request = new operationsProtos.google.longrunning.GetOperationRequest(
+      {name}
+    );
+    const [operation] = await this.operationsClient.getOperation(request);
+    const decodeOperation = new gax.Operation(
+      operation,
+      this.descriptors.longrunning.deletePipelineJob,
+      gax.createDefaultBackoffSettings()
+    );
+    return decodeOperation as LROperation<
+      protos.google.protobuf.Empty,
+      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
+    >;
+  }
+  listTrainingPipelines(
+    request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.ITrainingPipeline[],
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest | null,
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+    ]
+  >;
+  listTrainingPipelines(
+    request: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+    options: CallOptions,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+      | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.ITrainingPipeline
+    >
+  ): void;
+  listTrainingPipelines(
+    request: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+      | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.ITrainingPipeline
+    >
+  ): void;
+  /**
+   * Lists TrainingPipelines in a Location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to list the TrainingPipelines from.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.filter
+   *   Lists the PipelineJobs that match the filter expression. The following
+   *   fields are supported:
+   *
+   *   * `pipeline_name`: Supports `=` and `!=` comparisons.
+   *   * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `labels`: Supports key-value equality and key presence.
+   *
+   *   Filter expressions can be combined together using logical operators
+   *   (`AND` & `OR`).
+   *   For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
+   *
+   *   The syntax to define filter expression is based on
+   *   https://google.aip.dev/160.
+   *
+   *   Examples:
+   *
+   *   * `create_time>"2021-05-18T00:00:00Z" OR
+   *     update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
+   *     after 2020-05-18 00:00:00 UTC.
+   *   * `labels.env = "prod"`
+   *     PipelineJobs with label "env" set to "prod".
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token|ListTrainingPipelinesResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines|PipelineService.ListTrainingPipelines} call.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is Array of [TrainingPipeline]{@link google.cloud.aiplatform.v1.TrainingPipeline}.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed and will merge results from all the pages into this array.
+   *   Note that it can affect your quota.
+   *   We recommend using `listTrainingPipelinesAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listTrainingPipelines(
+    request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | PaginationCallback<
+          protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+          | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+          | null
+          | undefined,
+          protos.google.cloud.aiplatform.v1.ITrainingPipeline
+        >,
+    callback?: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+      | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.ITrainingPipeline
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.ITrainingPipeline[],
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest | null,
+      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.listTrainingPipelines(request, options, callback);
+  }
+
+  /**
+   * Equivalent to `method.name.toCamelCase()`, but returns a NodeJS Stream object.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to list the TrainingPipelines from.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.filter
+   *   Lists the PipelineJobs that match the filter expression. The following
+   *   fields are supported:
+   *
+   *   * `pipeline_name`: Supports `=` and `!=` comparisons.
+   *   * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `labels`: Supports key-value equality and key presence.
+   *
+   *   Filter expressions can be combined together using logical operators
+   *   (`AND` & `OR`).
+   *   For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
+   *
+   *   The syntax to define filter expression is based on
+   *   https://google.aip.dev/160.
+   *
+   *   Examples:
+   *
+   *   * `create_time>"2021-05-18T00:00:00Z" OR
+   *     update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
+   *     after 2020-05-18 00:00:00 UTC.
+   *   * `labels.env = "prod"`
+   *     PipelineJobs with label "env" set to "prod".
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token|ListTrainingPipelinesResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines|PipelineService.ListTrainingPipelines} call.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Stream}
+   *   An object stream which emits an object representing [TrainingPipeline]{@link google.cloud.aiplatform.v1.TrainingPipeline} on 'data' event.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed. Note that it can affect your quota.
+   *   We recommend using `listTrainingPipelinesAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listTrainingPipelinesStream(
+    request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+    options?: CallOptions
+  ): Transform {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const callSettings = new gax.CallSettings(options);
+    this.initialize();
+    return this.descriptors.page.listTrainingPipelines.createStream(
+      this.innerApiCalls.listTrainingPipelines as gax.GaxCall,
+      request,
+      callSettings
+    );
+  }
+
+  /**
+   * Equivalent to `listTrainingPipelines`, but returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to list the TrainingPipelines from.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.filter
+   *   Lists the PipelineJobs that match the filter expression. The following
+   *   fields are supported:
+   *
+   *   * `pipeline_name`: Supports `=` and `!=` comparisons.
+   *   * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
+   *     Values must be in RFC 3339 format.
+   *   * `labels`: Supports key-value equality and key presence.
+   *
+   *   Filter expressions can be combined together using logical operators
+   *   (`AND` & `OR`).
+   *   For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
+   *
+   *   The syntax to define filter expression is based on
+   *   https://google.aip.dev/160.
+   *
+   *   Examples:
+   *
+   *   * `create_time>"2021-05-18T00:00:00Z" OR
+   *     update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
+   *     after 2020-05-18 00:00:00 UTC.
+   *   * `labels.env = "prod"`
+   *     PipelineJobs with label "env" set to "prod".
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token|ListTrainingPipelinesResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines|PipelineService.ListTrainingPipelines} call.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [TrainingPipeline]{@link google.cloud.aiplatform.v1.TrainingPipeline}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * const iterable = client.listTrainingPipelinesAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   */
+  listTrainingPipelinesAsync(
     request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
     options?: CallOptions
+  ): AsyncIterable<protos.google.cloud.aiplatform.v1.ITrainingPipeline> {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    options = options || {};
+    const callSettings = new gax.CallSettings(options);
+    this.initialize();
+    return this.descriptors.page.listTrainingPipelines.asyncIterate(
+      this.innerApiCalls['listTrainingPipelines'] as GaxCall,
+      request as unknown as RequestType,
+      callSettings
+    ) as AsyncIterable<protos.google.cloud.aiplatform.v1.ITrainingPipeline>;
+  }
+  listPipelineJobs(
+    request?: protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
+    options?: CallOptions
   ): Promise<
     [
-      protos.google.cloud.aiplatform.v1.ITrainingPipeline[],
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest | null,
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      protos.google.cloud.aiplatform.v1.IPipelineJob[],
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest | null,
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsResponse
     ]
   >;
-  listTrainingPipelines(
-    request: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+  listPipelineJobs(
+    request: protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
     options: CallOptions,
     callback: PaginationCallback<
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
-      | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
+      | protos.google.cloud.aiplatform.v1.IListPipelineJobsResponse
       | null
       | undefined,
-      protos.google.cloud.aiplatform.v1.ITrainingPipeline
+      protos.google.cloud.aiplatform.v1.IPipelineJob
     >
   ): void;
-  listTrainingPipelines(
-    request: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+  listPipelineJobs(
+    request: protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
     callback: PaginationCallback<
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
-      | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
+      | protos.google.cloud.aiplatform.v1.IListPipelineJobsResponse
       | null
       | undefined,
-      protos.google.cloud.aiplatform.v1.ITrainingPipeline
+      protos.google.cloud.aiplatform.v1.IPipelineJob
     >
   ): void;
   /**
-   * Lists TrainingPipelines in a Location.
+   * Lists PipelineJobs in a Location.
    *
    * @param {Object} request
    *   The request object that will be sent.
    * @param {string} request.parent
-   *   Required. The resource name of the Location to list the TrainingPipelines from.
+   *   Required. The resource name of the Location to list the PipelineJobs from.
    *   Format: `projects/{project}/locations/{location}`
    * @param {string} request.filter
    *   The standard list filter.
    *   Supported fields:
    *
-   *     * `display_name` supports = and !=.
-   *
-   *     * `state` supports = and !=.
-   *
-   *   Some examples of using the filter are:
-   *
-   *    * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+   *   * `display_name` supports `=` and `!=`.
+   *   * `state` supports `=` and `!=`.
    *
-   *    * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *   The following examples demonstrate how to filter the list of PipelineJobs:
    *
-   *    * `NOT display_name="my_pipeline"`
-   *
-   *    * `state="PIPELINE_STATE_FAILED"`
+   *   * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+   *   * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *   * `NOT display_name="my_pipeline"`
+   *   * `state="PIPELINE_STATE_FAILED"`
    * @param {number} request.pageSize
    *   The standard list page size.
    * @param {string} request.pageToken
    *   The standard list page token.
    *   Typically obtained via
-   *   {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token|ListTrainingPipelinesResponse.next_page_token} of the previous
-   *   {@link google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines|PipelineService.ListTrainingPipelines} call.
-   * @param {google.protobuf.FieldMask} request.readMask
-   *   Mask specifying which fields to read.
+   *   {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token|ListPipelineJobsResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs|PipelineService.ListPipelineJobs} call.
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Promise} - The promise which resolves to an array.
-   *   The first element of the array is Array of [TrainingPipeline]{@link google.cloud.aiplatform.v1.TrainingPipeline}.
+   *   The first element of the array is Array of [PipelineJob]{@link google.cloud.aiplatform.v1.PipelineJob}.
    *   The client library will perform auto-pagination by default: it will call the API as many
    *   times as needed and will merge results from all the pages into this array.
    *   Note that it can affect your quota.
-   *   We recommend using `listTrainingPipelinesAsync()`
+   *   We recommend using `listPipelineJobsAsync()`
    *   method described below for async iteration which you can stop as needed.
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
    *   for more details and examples.
    */
-  listTrainingPipelines(
-    request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+  listPipelineJobs(
+    request?: protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
     optionsOrCallback?:
       | CallOptions
       | PaginationCallback<
-          protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
-          | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+          protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
+          | protos.google.cloud.aiplatform.v1.IListPipelineJobsResponse
           | null
           | undefined,
-          protos.google.cloud.aiplatform.v1.ITrainingPipeline
+          protos.google.cloud.aiplatform.v1.IPipelineJob
         >,
     callback?: PaginationCallback<
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
-      | protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
+      | protos.google.cloud.aiplatform.v1.IListPipelineJobsResponse
       | null
       | undefined,
-      protos.google.cloud.aiplatform.v1.ITrainingPipeline
+      protos.google.cloud.aiplatform.v1.IPipelineJob
     >
   ): Promise<
     [
-      protos.google.cloud.aiplatform.v1.ITrainingPipeline[],
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest | null,
-      protos.google.cloud.aiplatform.v1.IListTrainingPipelinesResponse
+      protos.google.cloud.aiplatform.v1.IPipelineJob[],
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest | null,
+      protos.google.cloud.aiplatform.v1.IListPipelineJobsResponse
     ]
   > | void {
     request = request || {};
@@ -962,7 +1718,7 @@ export class PipelineServiceClient {
         parent: request.parent || '',
       });
     this.initialize();
-    return this.innerApiCalls.listTrainingPipelines(request, options, callback);
+    return this.innerApiCalls.listPipelineJobs(request, options, callback);
   }
 
   /**
@@ -970,48 +1726,42 @@ export class PipelineServiceClient {
    * @param {Object} request
    *   The request object that will be sent.
    * @param {string} request.parent
-   *   Required. The resource name of the Location to list the TrainingPipelines from.
+   *   Required. The resource name of the Location to list the PipelineJobs from.
    *   Format: `projects/{project}/locations/{location}`
    * @param {string} request.filter
    *   The standard list filter.
    *   Supported fields:
    *
-   *     * `display_name` supports = and !=.
-   *
-   *     * `state` supports = and !=.
-   *
-   *   Some examples of using the filter are:
-   *
-   *    * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
-   *
-   *    * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *   * `display_name` supports `=` and `!=`.
+   *   * `state` supports `=` and `!=`.
    *
-   *    * `NOT display_name="my_pipeline"`
+   *   The following examples demonstrate how to filter the list of PipelineJobs:
    *
-   *    * `state="PIPELINE_STATE_FAILED"`
+   *   * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+   *   * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *   * `NOT display_name="my_pipeline"`
+   *   * `state="PIPELINE_STATE_FAILED"`
    * @param {number} request.pageSize
    *   The standard list page size.
    * @param {string} request.pageToken
    *   The standard list page token.
    *   Typically obtained via
-   *   {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token|ListTrainingPipelinesResponse.next_page_token} of the previous
-   *   {@link google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines|PipelineService.ListTrainingPipelines} call.
-   * @param {google.protobuf.FieldMask} request.readMask
-   *   Mask specifying which fields to read.
+   *   {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token|ListPipelineJobsResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs|PipelineService.ListPipelineJobs} call.
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Stream}
-   *   An object stream which emits an object representing [TrainingPipeline]{@link google.cloud.aiplatform.v1.TrainingPipeline} on 'data' event.
+   *   An object stream which emits an object representing [PipelineJob]{@link google.cloud.aiplatform.v1.PipelineJob} on 'data' event.
    *   The client library will perform auto-pagination by default: it will call the API as many
    *   times as needed. Note that it can affect your quota.
-   *   We recommend using `listTrainingPipelinesAsync()`
+   *   We recommend using `listPipelineJobsAsync()`
    *   method described below for async iteration which you can stop as needed.
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
    *   for more details and examples.
    */
-  listTrainingPipelinesStream(
-    request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+  listPipelineJobsStream(
+    request?: protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
     options?: CallOptions
   ): Transform {
     request = request || {};
@@ -1024,68 +1774,62 @@ export class PipelineServiceClient {
       });
     const callSettings = new gax.CallSettings(options);
     this.initialize();
-    return this.descriptors.page.listTrainingPipelines.createStream(
-      this.innerApiCalls.listTrainingPipelines as gax.GaxCall,
+    return this.descriptors.page.listPipelineJobs.createStream(
+      this.innerApiCalls.listPipelineJobs as gax.GaxCall,
       request,
       callSettings
     );
   }
 
   /**
-   * Equivalent to `listTrainingPipelines`, but returns an iterable object.
+   * Equivalent to `listPipelineJobs`, but returns an iterable object.
    *
    * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
    * @param {Object} request
    *   The request object that will be sent.
    * @param {string} request.parent
-   *   Required. The resource name of the Location to list the TrainingPipelines from.
+   *   Required. The resource name of the Location to list the PipelineJobs from.
    *   Format: `projects/{project}/locations/{location}`
    * @param {string} request.filter
    *   The standard list filter.
    *   Supported fields:
    *
-   *     * `display_name` supports = and !=.
-   *
-   *     * `state` supports = and !=.
-   *
-   *   Some examples of using the filter are:
-   *
-   *    * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
-   *
-   *    * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *   * `display_name` supports `=` and `!=`.
+   *   * `state` supports `=` and `!=`.
    *
-   *    * `NOT display_name="my_pipeline"`
+   *   The following examples demonstrate how to filter the list of PipelineJobs:
    *
-   *    * `state="PIPELINE_STATE_FAILED"`
+   *   * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+   *   * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *   * `NOT display_name="my_pipeline"`
+   *   * `state="PIPELINE_STATE_FAILED"`
    * @param {number} request.pageSize
    *   The standard list page size.
    * @param {string} request.pageToken
    *   The standard list page token.
    *   Typically obtained via
-   *   {@link google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token|ListTrainingPipelinesResponse.next_page_token} of the previous
-   *   {@link google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines|PipelineService.ListTrainingPipelines} call.
-   * @param {google.protobuf.FieldMask} request.readMask
-   *   Mask specifying which fields to read.
+   *   {@link google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token|ListPipelineJobsResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs|PipelineService.ListPipelineJobs} call.
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Object}
    *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
    *   When you iterate the returned iterable, each element will be an object representing
-   *   [TrainingPipeline]{@link google.cloud.aiplatform.v1.TrainingPipeline}. The API will be called under the hood as needed, once per the page,
+   *   [PipelineJob]{@link google.cloud.aiplatform.v1.PipelineJob}. The API will be called under the hood as needed, once per the page,
    *   so you can stop the iteration when you don't need more results.
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
    *   for more details and examples.
    * @example
-   * const iterable = client.listTrainingPipelinesAsync(request);
+   * const iterable = client.listPipelineJobsAsync(request);
    * for await (const response of iterable) {
    *   // process response
    * }
    */
-  listTrainingPipelinesAsync(
-    request?: protos.google.cloud.aiplatform.v1.IListTrainingPipelinesRequest,
+  listPipelineJobsAsync(
+    request?: protos.google.cloud.aiplatform.v1.IListPipelineJobsRequest,
     options?: CallOptions
-  ): AsyncIterable<protos.google.cloud.aiplatform.v1.ITrainingPipeline> {
+  ): AsyncIterable<protos.google.cloud.aiplatform.v1.IPipelineJob> {
     request = request || {};
     options = options || {};
     options.otherArgs = options.otherArgs || {};
@@ -1097,11 +1841,11 @@ export class PipelineServiceClient {
     options = options || {};
     const callSettings = new gax.CallSettings(options);
     this.initialize();
-    return this.descriptors.page.listTrainingPipelines.asyncIterate(
-      this.innerApiCalls['listTrainingPipelines'] as GaxCall,
+    return this.descriptors.page.listPipelineJobs.asyncIterate(
+      this.innerApiCalls['listPipelineJobs'] as GaxCall,
       request as unknown as RequestType,
       callSettings
-    ) as AsyncIterable<protos.google.cloud.aiplatform.v1.ITrainingPipeline>;
+    ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IPipelineJob>;
   }
   // --------------------
   // -- Path templates --
@@ -1268,6 +2012,74 @@ export class PipelineServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -1329,6 +2141,74 @@ export class PipelineServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -1606,6 +2486,77 @@ export class PipelineServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -1924,6 +2875,58 @@ export class PipelineServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/pipeline_service_client_config.json b/packages/google-cloud-aiplatform/src/v1/pipeline_service_client_config.json
index 496507b9ca1..ee1c1f3c06b 100644
--- a/packages/google-cloud-aiplatform/src/v1/pipeline_service_client_config.json
+++ b/packages/google-cloud-aiplatform/src/v1/pipeline_service_client_config.json
@@ -44,6 +44,26 @@
           "timeout_millis": 5000,
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
+        },
+        "CreatePipelineJob": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
+        "GetPipelineJob": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
+        "ListPipelineJobs": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
+        "DeletePipelineJob": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
+        "CancelPipelineJob": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
         }
       }
     }
diff --git a/packages/google-cloud-aiplatform/src/v1/pipeline_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/pipeline_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/pipeline_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/pipeline_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/prediction_service_client.ts b/packages/google-cloud-aiplatform/src/v1/prediction_service_client.ts
index 85160271bfa..333bb29d055 100644
--- a/packages/google-cloud-aiplatform/src/v1/prediction_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/prediction_service_client.ts
@@ -150,9 +150,15 @@ export class PredictionServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -168,6 +174,9 @@ export class PredictionServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -180,6 +189,9 @@ export class PredictionServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -584,6 +596,74 @@ export class PredictionServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -645,6 +725,74 @@ export class PredictionServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -922,6 +1070,77 @@ export class PredictionServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -1204,6 +1423,58 @@ export class PredictionServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/prediction_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/prediction_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/prediction_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/prediction_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_client.ts b/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_client.ts
index 407125ffcb9..06f3f0110e2 100644
--- a/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_client.ts
+++ b/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_client.ts
@@ -167,9 +167,15 @@ export class SpecialistPoolServiceClient {
       annotationSpecPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
       ),
+      artifactPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}'
+      ),
       batchPredictionJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}'
       ),
+      contextPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}'
+      ),
       customJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/customJobs/{custom_job}'
       ),
@@ -185,6 +191,9 @@ export class SpecialistPoolServiceClient {
       endpointPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/endpoints/{endpoint}'
       ),
+      executionPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}'
+      ),
       hyperparameterTuningJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}'
       ),
@@ -200,6 +209,9 @@ export class SpecialistPoolServiceClient {
       modelEvaluationSlicePathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}'
       ),
+      pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -1309,6 +1321,74 @@ export class SpecialistPoolServiceClient {
     ).annotation_spec;
   }
 
+  /**
+   * Return a fully-qualified artifact resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} artifact
+   * @returns {string} Resource name string.
+   */
+  artifactPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    artifact: string
+  ) {
+    return this.pathTemplates.artifactPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      artifact: artifact,
+    });
+  }
+
+  /**
+   * Parse the project from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).project;
+  }
+
+  /**
+   * Parse the location from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the artifact from Artifact resource.
+   *
+   * @param {string} artifactName
+   *   A fully-qualified path representing Artifact resource.
+   * @returns {string} A string representing the artifact.
+   */
+  matchArtifactFromArtifactName(artifactName: string) {
+    return this.pathTemplates.artifactPathTemplate.match(artifactName).artifact;
+  }
+
   /**
    * Return a fully-qualified batchPredictionJob resource name string.
    *
@@ -1370,6 +1450,74 @@ export class SpecialistPoolServiceClient {
     ).batch_prediction_job;
   }
 
+  /**
+   * Return a fully-qualified context resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} context
+   * @returns {string} Resource name string.
+   */
+  contextPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    context: string
+  ) {
+    return this.pathTemplates.contextPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      context: context,
+    });
+  }
+
+  /**
+   * Parse the project from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).project;
+  }
+
+  /**
+   * Parse the location from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).location;
+  }
+
+  /**
+   * Parse the metadata_store from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the context from Context resource.
+   *
+   * @param {string} contextName
+   *   A fully-qualified path representing Context resource.
+   * @returns {string} A string representing the context.
+   */
+  matchContextFromContextName(contextName: string) {
+    return this.pathTemplates.contextPathTemplate.match(contextName).context;
+  }
+
   /**
    * Return a fully-qualified customJob resource name string.
    *
@@ -1647,6 +1795,77 @@ export class SpecialistPoolServiceClient {
     return this.pathTemplates.endpointPathTemplate.match(endpointName).endpoint;
   }
 
+  /**
+   * Return a fully-qualified execution resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} metadata_store
+   * @param {string} execution
+   * @returns {string} Resource name string.
+   */
+  executionPath(
+    project: string,
+    location: string,
+    metadataStore: string,
+    execution: string
+  ) {
+    return this.pathTemplates.executionPathTemplate.render({
+      project: project,
+      location: location,
+      metadata_store: metadataStore,
+      execution: execution,
+    });
+  }
+
+  /**
+   * Parse the project from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .project;
+  }
+
+  /**
+   * Parse the location from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .location;
+  }
+
+  /**
+   * Parse the metadata_store from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the metadata_store.
+   */
+  matchMetadataStoreFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .metadata_store;
+  }
+
+  /**
+   * Parse the execution from Execution resource.
+   *
+   * @param {string} executionName
+   *   A fully-qualified path representing Execution resource.
+   * @returns {string} A string representing the execution.
+   */
+  matchExecutionFromExecutionName(executionName: string) {
+    return this.pathTemplates.executionPathTemplate.match(executionName)
+      .execution;
+  }
+
   /**
    * Return a fully-qualified hyperparameterTuningJob resource name string.
    *
@@ -1965,6 +2184,58 @@ export class SpecialistPoolServiceClient {
     ).slice;
   }
 
+  /**
+   * Return a fully-qualified pipelineJob resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} pipeline_job
+   * @returns {string} Resource name string.
+   */
+  pipelineJobPath(project: string, location: string, pipelineJob: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.render({
+      project: project,
+      location: location,
+      pipeline_job: pipelineJob,
+    });
+  }
+
+  /**
+   * Parse the project from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .project;
+  }
+
+  /**
+   * Parse the location from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .location;
+  }
+
+  /**
+   * Parse the pipeline_job from PipelineJob resource.
+   *
+   * @param {string} pipelineJobName
+   *   A fully-qualified path representing PipelineJob resource.
+   * @returns {string} A string representing the pipeline_job.
+   */
+  matchPipelineJobFromPipelineJobName(pipelineJobName: string) {
+    return this.pathTemplates.pipelineJobPathTemplate.match(pipelineJobName)
+      .pipeline_job;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
diff --git a/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_proto_list.json b/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_proto_list.json
index 2e645f9eef5..6511aa03b6a 100644
--- a/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_proto_list.json
+++ b/packages/google-cloud-aiplatform/src/v1/specialist_pool_service_proto_list.json
@@ -2,8 +2,10 @@
   "../../protos/google/cloud/aiplatform/v1/accelerator_type.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation.proto",
   "../../protos/google/cloud/aiplatform/v1/annotation_spec.proto",
+  "../../protos/google/cloud/aiplatform/v1/artifact.proto",
   "../../protos/google/cloud/aiplatform/v1/batch_prediction_job.proto",
   "../../protos/google/cloud/aiplatform/v1/completion_stats.proto",
+  "../../protos/google/cloud/aiplatform/v1/context.proto",
   "../../protos/google/cloud/aiplatform/v1/custom_job.proto",
   "../../protos/google/cloud/aiplatform/v1/data_item.proto",
   "../../protos/google/cloud/aiplatform/v1/data_labeling_job.proto",
@@ -14,6 +16,7 @@
   "../../protos/google/cloud/aiplatform/v1/endpoint.proto",
   "../../protos/google/cloud/aiplatform/v1/endpoint_service.proto",
   "../../protos/google/cloud/aiplatform/v1/env_var.proto",
+  "../../protos/google/cloud/aiplatform/v1/execution.proto",
   "../../protos/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
   "../../protos/google/cloud/aiplatform/v1/io.proto",
   "../../protos/google/cloud/aiplatform/v1/job_service.proto",
@@ -27,6 +30,7 @@
   "../../protos/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
   "../../protos/google/cloud/aiplatform/v1/model_service.proto",
   "../../protos/google/cloud/aiplatform/v1/operation.proto",
+  "../../protos/google/cloud/aiplatform/v1/pipeline_job.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
@@ -70,5 +74,6 @@
   "../../protos/google/cloud/aiplatform/v1/specialist_pool_service.proto",
   "../../protos/google/cloud/aiplatform/v1/study.proto",
   "../../protos/google/cloud/aiplatform/v1/training_pipeline.proto",
-  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto"
+  "../../protos/google/cloud/aiplatform/v1/user_action_reference.proto",
+  "../../protos/google/cloud/aiplatform/v1/value.proto"
 ]
diff --git a/packages/google-cloud-aiplatform/test/gapic_dataset_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_dataset_service_v1.ts
index 65ae4633004..fed5c68fd96 100644
--- a/packages/google-cloud-aiplatform/test/gapic_dataset_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_dataset_service_v1.ts
@@ -2366,6 +2366,82 @@ describe('v1.DatasetServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -2443,6 +2519,82 @@ describe('v1.DatasetServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -2776,6 +2928,82 @@ describe('v1.DatasetServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -3155,6 +3383,70 @@ describe('v1.DatasetServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_endpoint_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_endpoint_service_v1.ts
index b4036d62d6d..2860734b420 100644
--- a/packages/google-cloud-aiplatform/test/gapic_endpoint_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_endpoint_service_v1.ts
@@ -1671,6 +1671,82 @@ describe('v1.EndpointServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -1748,6 +1824,82 @@ describe('v1.EndpointServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -2081,6 +2233,82 @@ describe('v1.EndpointServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -2460,6 +2688,70 @@ describe('v1.EndpointServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_job_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_job_service_v1.ts
index 625903b09e6..1f62d782803 100644
--- a/packages/google-cloud-aiplatform/test/gapic_job_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_job_service_v1.ts
@@ -3822,6 +3822,82 @@ describe('v1.JobServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -3899,6 +3975,82 @@ describe('v1.JobServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -4232,6 +4384,82 @@ describe('v1.JobServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -4611,6 +4839,70 @@ describe('v1.JobServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_migration_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_migration_service_v1.ts
index 8375cdf1f0e..aa7a058323b 100644
--- a/packages/google-cloud-aiplatform/test/gapic_migration_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_migration_service_v1.ts
@@ -917,6 +917,82 @@ describe('v1.MigrationServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -994,6 +1070,82 @@ describe('v1.MigrationServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -1327,6 +1479,82 @@ describe('v1.MigrationServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -1706,6 +1934,70 @@ describe('v1.MigrationServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_model_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_model_service_v1.ts
index adb1333e605..8ee38529704 100644
--- a/packages/google-cloud-aiplatform/test/gapic_model_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_model_service_v1.ts
@@ -2336,6 +2336,82 @@ describe('v1.ModelServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -2413,6 +2489,82 @@ describe('v1.ModelServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -2746,6 +2898,82 @@ describe('v1.ModelServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -3125,6 +3353,70 @@ describe('v1.ModelServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_pipeline_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_pipeline_service_v1.ts
index e631ebf7f20..8578025cf74 100644
--- a/packages/google-cloud-aiplatform/test/gapic_pipeline_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_pipeline_service_v1.ts
@@ -569,18 +569,18 @@ describe('v1.PipelineServiceClient', () => {
     });
   });
 
-  describe('deleteTrainingPipeline', () => {
-    it('invokes deleteTrainingPipeline without error', async () => {
+  describe('createPipelineJob', () => {
+    it('invokes createPipelineJob without error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+        new protos.google.cloud.aiplatform.v1.CreatePipelineJobRequest()
       );
-      request.name = '';
-      const expectedHeaderRequestParams = 'name=';
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -589,31 +589,29 @@ describe('v1.PipelineServiceClient', () => {
         },
       };
       const expectedResponse = generateSampleMessage(
-        new protos.google.longrunning.Operation()
+        new protos.google.cloud.aiplatform.v1.PipelineJob()
       );
-      client.innerApiCalls.deleteTrainingPipeline =
-        stubLongRunningCall(expectedResponse);
-      const [operation] = await client.deleteTrainingPipeline(request);
-      const [response] = await operation.promise();
+      client.innerApiCalls.createPipelineJob = stubSimpleCall(expectedResponse);
+      const [response] = await client.createPipelineJob(request);
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+        (client.innerApiCalls.createPipelineJob as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes deleteTrainingPipeline without error using callback', async () => {
+    it('invokes createPipelineJob without error using callback', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+        new protos.google.cloud.aiplatform.v1.CreatePipelineJobRequest()
       );
-      request.name = '';
-      const expectedHeaderRequestParams = 'name=';
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -622,19 +620,16 @@ describe('v1.PipelineServiceClient', () => {
         },
       };
       const expectedResponse = generateSampleMessage(
-        new protos.google.longrunning.Operation()
+        new protos.google.cloud.aiplatform.v1.PipelineJob()
       );
-      client.innerApiCalls.deleteTrainingPipeline =
-        stubLongRunningCallWithCallback(expectedResponse);
+      client.innerApiCalls.createPipelineJob =
+        stubSimpleCallWithCallback(expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.deleteTrainingPipeline(
+        client.createPipelineJob(
           request,
           (
             err?: Error | null,
-            result?: LROperation<
-              protos.google.protobuf.IEmpty,
-              protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
-            > | null
+            result?: protos.google.cloud.aiplatform.v1.IPipelineJob | null
           ) => {
             if (err) {
               reject(err);
@@ -644,30 +639,26 @@ describe('v1.PipelineServiceClient', () => {
           }
         );
       });
-      const operation = (await promise) as LROperation<
-        protos.google.protobuf.IEmpty,
-        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
-      >;
-      const [response] = await operation.promise();
+      const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+        (client.innerApiCalls.createPipelineJob as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions /*, callback defined above */)
       );
     });
 
-    it('invokes deleteTrainingPipeline with call error', async () => {
+    it('invokes createPipelineJob with error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+        new protos.google.cloud.aiplatform.v1.CreatePipelineJobRequest()
       );
-      request.name = '';
-      const expectedHeaderRequestParams = 'name=';
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -676,29 +667,28 @@ describe('v1.PipelineServiceClient', () => {
         },
       };
       const expectedError = new Error('expected');
-      client.innerApiCalls.deleteTrainingPipeline = stubLongRunningCall(
+      client.innerApiCalls.createPipelineJob = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(
-        client.deleteTrainingPipeline(request),
-        expectedError
-      );
+      await assert.rejects(client.createPipelineJob(request), expectedError);
       assert(
-        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+        (client.innerApiCalls.createPipelineJob as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
+  });
 
-    it('invokes deleteTrainingPipeline with LRO error', async () => {
+  describe('getPipelineJob', () => {
+    it('invokes getPipelineJob without error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+        new protos.google.cloud.aiplatform.v1.GetPipelineJobRequest()
       );
       request.name = '';
       const expectedHeaderRequestParams = 'name=';
@@ -709,75 +699,110 @@ describe('v1.PipelineServiceClient', () => {
           },
         },
       };
-      const expectedError = new Error('expected');
-      client.innerApiCalls.deleteTrainingPipeline = stubLongRunningCall(
-        undefined,
-        undefined,
-        expectedError
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.PipelineJob()
       );
-      const [operation] = await client.deleteTrainingPipeline(request);
-      await assert.rejects(operation.promise(), expectedError);
+      client.innerApiCalls.getPipelineJob = stubSimpleCall(expectedResponse);
+      const [response] = await client.getPipelineJob(request);
+      assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+        (client.innerApiCalls.getPipelineJob as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes checkDeleteTrainingPipelineProgress without error', async () => {
+    it('invokes getPipelineJob without error using callback', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.GetPipelineJobRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
       const expectedResponse = generateSampleMessage(
-        new operationsProtos.google.longrunning.Operation()
+        new protos.google.cloud.aiplatform.v1.PipelineJob()
       );
-      expectedResponse.name = 'test';
-      expectedResponse.response = {type_url: 'url', value: Buffer.from('')};
-      expectedResponse.metadata = {type_url: 'url', value: Buffer.from('')};
-
-      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
-      const decodedOperation = await client.checkDeleteTrainingPipelineProgress(
-        expectedResponse.name
+      client.innerApiCalls.getPipelineJob =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getPipelineJob(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IPipelineJob | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.getPipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
       );
-      assert.deepStrictEqual(decodedOperation.name, expectedResponse.name);
-      assert(decodedOperation.metadata);
-      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
     });
 
-    it('invokes checkDeleteTrainingPipelineProgress with error', async () => {
+    it('invokes getPipelineJob with error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.GetPipelineJobRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
       const expectedError = new Error('expected');
-
-      client.operationsClient.getOperation = stubSimpleCall(
+      client.innerApiCalls.getPipelineJob = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(
-        client.checkDeleteTrainingPipelineProgress(''),
-        expectedError
+      await assert.rejects(client.getPipelineJob(request), expectedError);
+      assert(
+        (client.innerApiCalls.getPipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
       );
-      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
     });
   });
 
-  describe('listTrainingPipelines', () => {
-    it('invokes listTrainingPipelines without error', async () => {
+  describe('cancelPipelineJob', () => {
+    it('invokes cancelPipelineJob without error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.CancelPipelineJobRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -785,39 +810,30 @@ describe('v1.PipelineServiceClient', () => {
           },
         },
       };
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
-        ),
-      ];
-      client.innerApiCalls.listTrainingPipelines =
-        stubSimpleCall(expectedResponse);
-      const [response] = await client.listTrainingPipelines(request);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.innerApiCalls.cancelPipelineJob = stubSimpleCall(expectedResponse);
+      const [response] = await client.cancelPipelineJob(request);
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listTrainingPipelines as SinonStub)
+        (client.innerApiCalls.cancelPipelineJob as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes listTrainingPipelines without error using callback', async () => {
+    it('invokes cancelPipelineJob without error using callback', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.CancelPipelineJobRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -825,27 +841,17 @@ describe('v1.PipelineServiceClient', () => {
           },
         },
       };
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
-        ),
-      ];
-      client.innerApiCalls.listTrainingPipelines =
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.innerApiCalls.cancelPipelineJob =
         stubSimpleCallWithCallback(expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.listTrainingPipelines(
+        client.cancelPipelineJob(
           request,
           (
             err?: Error | null,
-            result?:
-              | protos.google.cloud.aiplatform.v1.ITrainingPipeline[]
-              | null
+            result?: protos.google.protobuf.IEmpty | null
           ) => {
             if (err) {
               reject(err);
@@ -858,23 +864,23 @@ describe('v1.PipelineServiceClient', () => {
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listTrainingPipelines as SinonStub)
+        (client.innerApiCalls.cancelPipelineJob as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions /*, callback defined above */)
       );
     });
 
-    it('invokes listTrainingPipelines with error', async () => {
+    it('invokes cancelPipelineJob with error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.CancelPipelineJobRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -883,52 +889,893 @@ describe('v1.PipelineServiceClient', () => {
         },
       };
       const expectedError = new Error('expected');
-      client.innerApiCalls.listTrainingPipelines = stubSimpleCall(
+      client.innerApiCalls.cancelPipelineJob = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(
-        client.listTrainingPipelines(request),
+      await assert.rejects(client.cancelPipelineJob(request), expectedError);
+      assert(
+        (client.innerApiCalls.cancelPipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+
+  describe('deleteTrainingPipeline', () => {
+    it('invokes deleteTrainingPipeline without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.longrunning.Operation()
+      );
+      client.innerApiCalls.deleteTrainingPipeline =
+        stubLongRunningCall(expectedResponse);
+      const [operation] = await client.deleteTrainingPipeline(request);
+      const [response] = await operation.promise();
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes deleteTrainingPipeline without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.longrunning.Operation()
+      );
+      client.innerApiCalls.deleteTrainingPipeline =
+        stubLongRunningCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.deleteTrainingPipeline(
+          request,
+          (
+            err?: Error | null,
+            result?: LROperation<
+              protos.google.protobuf.IEmpty,
+              protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+            > | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const operation = (await promise) as LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >;
+      const [response] = await operation.promise();
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes deleteTrainingPipeline with call error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.deleteTrainingPipeline = stubLongRunningCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.deleteTrainingPipeline(request),
+        expectedError
+      );
+      assert(
+        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes deleteTrainingPipeline with LRO error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.deleteTrainingPipeline = stubLongRunningCall(
+        undefined,
+        undefined,
+        expectedError
+      );
+      const [operation] = await client.deleteTrainingPipeline(request);
+      await assert.rejects(operation.promise(), expectedError);
+      assert(
+        (client.innerApiCalls.deleteTrainingPipeline as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes checkDeleteTrainingPipelineProgress without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      expectedResponse.name = 'test';
+      expectedResponse.response = {type_url: 'url', value: Buffer.from('')};
+      expectedResponse.metadata = {type_url: 'url', value: Buffer.from('')};
+
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const decodedOperation = await client.checkDeleteTrainingPipelineProgress(
+        expectedResponse.name
+      );
+      assert.deepStrictEqual(decodedOperation.name, expectedResponse.name);
+      assert(decodedOperation.metadata);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+
+    it('invokes checkDeleteTrainingPipelineProgress with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const expectedError = new Error('expected');
+
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.checkDeleteTrainingPipelineProgress(''),
+        expectedError
+      );
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+  });
+
+  describe('deletePipelineJob', () => {
+    it('invokes deletePipelineJob without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeletePipelineJobRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.longrunning.Operation()
+      );
+      client.innerApiCalls.deletePipelineJob =
+        stubLongRunningCall(expectedResponse);
+      const [operation] = await client.deletePipelineJob(request);
+      const [response] = await operation.promise();
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.deletePipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes deletePipelineJob without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeletePipelineJobRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.longrunning.Operation()
+      );
+      client.innerApiCalls.deletePipelineJob =
+        stubLongRunningCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.deletePipelineJob(
+          request,
+          (
+            err?: Error | null,
+            result?: LROperation<
+              protos.google.protobuf.IEmpty,
+              protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+            > | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const operation = (await promise) as LROperation<
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
+      >;
+      const [response] = await operation.promise();
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.deletePipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes deletePipelineJob with call error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeletePipelineJobRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.deletePipelineJob = stubLongRunningCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.deletePipelineJob(request), expectedError);
+      assert(
+        (client.innerApiCalls.deletePipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes deletePipelineJob with LRO error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.DeletePipelineJobRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.deletePipelineJob = stubLongRunningCall(
+        undefined,
+        undefined,
+        expectedError
+      );
+      const [operation] = await client.deletePipelineJob(request);
+      await assert.rejects(operation.promise(), expectedError);
+      assert(
+        (client.innerApiCalls.deletePipelineJob as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes checkDeletePipelineJobProgress without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      expectedResponse.name = 'test';
+      expectedResponse.response = {type_url: 'url', value: Buffer.from('')};
+      expectedResponse.metadata = {type_url: 'url', value: Buffer.from('')};
+
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const decodedOperation = await client.checkDeletePipelineJobProgress(
+        expectedResponse.name
+      );
+      assert.deepStrictEqual(decodedOperation.name, expectedResponse.name);
+      assert(decodedOperation.metadata);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+
+    it('invokes checkDeletePipelineJobProgress with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const expectedError = new Error('expected');
+
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.checkDeletePipelineJobProgress(''),
+        expectedError
+      );
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+  });
+
+  describe('listTrainingPipelines', () => {
+    it('invokes listTrainingPipelines without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+      ];
+      client.innerApiCalls.listTrainingPipelines =
+        stubSimpleCall(expectedResponse);
+      const [response] = await client.listTrainingPipelines(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listTrainingPipelines as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listTrainingPipelines without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+      ];
+      client.innerApiCalls.listTrainingPipelines =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listTrainingPipelines(
+          request,
+          (
+            err?: Error | null,
+            result?:
+              | protos.google.cloud.aiplatform.v1.ITrainingPipeline[]
+              | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listTrainingPipelines as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listTrainingPipelines with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listTrainingPipelines = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.listTrainingPipelines(request),
+        expectedError
+      );
+      assert(
+        (client.innerApiCalls.listTrainingPipelines as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listTrainingPipelinesStream without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+      ];
+      client.descriptors.page.listTrainingPipelines.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listTrainingPipelinesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.TrainingPipeline[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.TrainingPipeline) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .createStream as SinonStub
+        )
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listTrainingPipelines, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listTrainingPipelinesStream with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listTrainingPipelines.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listTrainingPipelinesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.TrainingPipeline[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.TrainingPipeline) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .createStream as SinonStub
+        )
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listTrainingPipelines, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listTrainingPipelines without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+        ),
+      ];
+      client.descriptors.page.listTrainingPipelines.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1.ITrainingPipeline[] =
+        [];
+      const iterable = client.listTrainingPipelinesAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listTrainingPipelines with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listTrainingPipelines.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listTrainingPipelinesAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1.ITrainingPipeline[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listTrainingPipelines
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+
+  describe('listPipelineJobs', () => {
+    it('invokes listPipelineJobs without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
+        ),
+      ];
+      client.innerApiCalls.listPipelineJobs = stubSimpleCall(expectedResponse);
+      const [response] = await client.listPipelineJobs(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listPipelineJobs as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listPipelineJobs without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
+        ),
+      ];
+      client.innerApiCalls.listPipelineJobs =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listPipelineJobs(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IPipelineJob[] | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listPipelineJobs as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listPipelineJobs with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listPipelineJobs = stubSimpleCall(
+        undefined,
         expectedError
       );
+      await assert.rejects(client.listPipelineJobs(request), expectedError);
       assert(
-        (client.innerApiCalls.listTrainingPipelines as SinonStub)
+        (client.innerApiCalls.listPipelineJobs as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes listTrainingPipelinesStream without error', async () => {
+    it('invokes listPipelineJobsStream without error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
       );
       request.parent = '';
       const expectedHeaderRequestParams = 'parent=';
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
         ),
       ];
-      client.descriptors.page.listTrainingPipelines.createStream =
+      client.descriptors.page.listPipelineJobs.createStream =
         stubPageStreamingCall(expectedResponse);
-      const stream = client.listTrainingPipelinesStream(request);
+      const stream = client.listPipelineJobsStream(request);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.TrainingPipeline[] =
-          [];
+        const responses: protos.google.cloud.aiplatform.v1.PipelineJob[] = [];
         stream.on(
           'data',
-          (response: protos.google.cloud.aiplatform.v1.TrainingPipeline) => {
+          (response: protos.google.cloud.aiplatform.v1.PipelineJob) => {
             responses.push(response);
           }
         );
@@ -942,43 +1789,38 @@ describe('v1.PipelineServiceClient', () => {
       const responses = await promise;
       assert.deepStrictEqual(responses, expectedResponse);
       assert(
-        (
-          client.descriptors.page.listTrainingPipelines
-            .createStream as SinonStub
-        )
+        (client.descriptors.page.listPipelineJobs.createStream as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listTrainingPipelines, request)
+          .calledWith(client.innerApiCalls.listPipelineJobs, request)
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listTrainingPipelines
-            .createStream as SinonStub
+          client.descriptors.page.listPipelineJobs.createStream as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
 
-    it('invokes listTrainingPipelinesStream with error', async () => {
+    it('invokes listPipelineJobsStream with error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
       );
       request.parent = '';
       const expectedHeaderRequestParams = 'parent=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listTrainingPipelines.createStream =
+      client.descriptors.page.listPipelineJobs.createStream =
         stubPageStreamingCall(undefined, expectedError);
-      const stream = client.listTrainingPipelinesStream(request);
+      const stream = client.listPipelineJobsStream(request);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.TrainingPipeline[] =
-          [];
+        const responses: protos.google.cloud.aiplatform.v1.PipelineJob[] = [];
         stream.on(
           'data',
-          (response: protos.google.cloud.aiplatform.v1.TrainingPipeline) => {
+          (response: protos.google.cloud.aiplatform.v1.PipelineJob) => {
             responses.push(response);
           }
         );
@@ -991,102 +1833,92 @@ describe('v1.PipelineServiceClient', () => {
       });
       await assert.rejects(promise, expectedError);
       assert(
-        (
-          client.descriptors.page.listTrainingPipelines
-            .createStream as SinonStub
-        )
+        (client.descriptors.page.listPipelineJobs.createStream as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listTrainingPipelines, request)
+          .calledWith(client.innerApiCalls.listPipelineJobs, request)
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listTrainingPipelines
-            .createStream as SinonStub
+          client.descriptors.page.listPipelineJobs.createStream as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
 
-    it('uses async iteration with listTrainingPipelines without error', async () => {
+    it('uses async iteration with listPipelineJobs without error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
       );
       request.parent = '';
       const expectedHeaderRequestParams = 'parent=';
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.TrainingPipeline()
+          new protos.google.cloud.aiplatform.v1.PipelineJob()
         ),
       ];
-      client.descriptors.page.listTrainingPipelines.asyncIterate =
+      client.descriptors.page.listPipelineJobs.asyncIterate =
         stubAsyncIterationCall(expectedResponse);
-      const responses: protos.google.cloud.aiplatform.v1.ITrainingPipeline[] =
-        [];
-      const iterable = client.listTrainingPipelinesAsync(request);
+      const responses: protos.google.cloud.aiplatform.v1.IPipelineJob[] = [];
+      const iterable = client.listPipelineJobsAsync(request);
       for await (const resource of iterable) {
         responses.push(resource!);
       }
       assert.deepStrictEqual(responses, expectedResponse);
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listTrainingPipelines
-            .asyncIterate as SinonStub
+          client.descriptors.page.listPipelineJobs.asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listTrainingPipelines
-            .asyncIterate as SinonStub
+          client.descriptors.page.listPipelineJobs.asyncIterate as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
 
-    it('uses async iteration with listTrainingPipelines with error', async () => {
+    it('uses async iteration with listPipelineJobs with error', async () => {
       const client = new pipelineserviceModule.v1.PipelineServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest()
+        new protos.google.cloud.aiplatform.v1.ListPipelineJobsRequest()
       );
       request.parent = '';
       const expectedHeaderRequestParams = 'parent=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listTrainingPipelines.asyncIterate =
+      client.descriptors.page.listPipelineJobs.asyncIterate =
         stubAsyncIterationCall(undefined, expectedError);
-      const iterable = client.listTrainingPipelinesAsync(request);
+      const iterable = client.listPipelineJobsAsync(request);
       await assert.rejects(async () => {
-        const responses: protos.google.cloud.aiplatform.v1.ITrainingPipeline[] =
-          [];
+        const responses: protos.google.cloud.aiplatform.v1.IPipelineJob[] = [];
         for await (const resource of iterable) {
           responses.push(resource!);
         }
       });
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listTrainingPipelines
-            .asyncIterate as SinonStub
+          client.descriptors.page.listPipelineJobs.asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listTrainingPipelines
-            .asyncIterate as SinonStub
+          client.descriptors.page.listPipelineJobs.asyncIterate as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
@@ -1259,6 +2091,82 @@ describe('v1.PipelineServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -1336,6 +2244,82 @@ describe('v1.PipelineServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -1669,6 +2653,82 @@ describe('v1.PipelineServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -2048,6 +3108,70 @@ describe('v1.PipelineServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_prediction_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_prediction_service_v1.ts
index d596b6bcba9..c58233e1f25 100644
--- a/packages/google-cloud-aiplatform/test/gapic_prediction_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_prediction_service_v1.ts
@@ -406,6 +406,82 @@ describe('v1.PredictionServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -483,6 +559,82 @@ describe('v1.PredictionServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -816,6 +968,82 @@ describe('v1.PredictionServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -1146,6 +1374,70 @@ describe('v1.PredictionServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/packages/google-cloud-aiplatform/test/gapic_specialist_pool_service_v1.ts b/packages/google-cloud-aiplatform/test/gapic_specialist_pool_service_v1.ts
index e07d2f5e041..5639db00f0a 100644
--- a/packages/google-cloud-aiplatform/test/gapic_specialist_pool_service_v1.ts
+++ b/packages/google-cloud-aiplatform/test/gapic_specialist_pool_service_v1.ts
@@ -1436,6 +1436,83 @@ describe('v1.SpecialistPoolServiceClient', () => {
       });
     });
 
+    describe('artifact', () => {
+      const fakePath = '/rendered/path/artifact';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        artifact: 'artifactValue',
+      };
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.artifactPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.artifactPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('artifactPath', () => {
+        const result = client.artifactPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'artifactValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.artifactPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromArtifactName', () => {
+        const result = client.matchProjectFromArtifactName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromArtifactName', () => {
+        const result = client.matchLocationFromArtifactName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromArtifactName', () => {
+        const result = client.matchMetadataStoreFromArtifactName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchArtifactFromArtifactName', () => {
+        const result = client.matchArtifactFromArtifactName(fakePath);
+        assert.strictEqual(result, 'artifactValue');
+        assert(
+          (client.pathTemplates.artifactPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('batchPredictionJob', () => {
       const fakePath = '/rendered/path/batchPredictionJob';
       const expectedParameters = {
@@ -1514,6 +1591,83 @@ describe('v1.SpecialistPoolServiceClient', () => {
       });
     });
 
+    describe('context', () => {
+      const fakePath = '/rendered/path/context';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        context: 'contextValue',
+      };
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.contextPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.contextPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('contextPath', () => {
+        const result = client.contextPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'contextValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.contextPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromContextName', () => {
+        const result = client.matchProjectFromContextName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromContextName', () => {
+        const result = client.matchLocationFromContextName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromContextName', () => {
+        const result = client.matchMetadataStoreFromContextName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchContextFromContextName', () => {
+        const result = client.matchContextFromContextName(fakePath);
+        assert.strictEqual(result, 'contextValue');
+        assert(
+          (client.pathTemplates.contextPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('customJob', () => {
       const fakePath = '/rendered/path/customJob';
       const expectedParameters = {
@@ -1852,6 +2006,83 @@ describe('v1.SpecialistPoolServiceClient', () => {
       });
     });
 
+    describe('execution', () => {
+      const fakePath = '/rendered/path/execution';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        metadata_store: 'metadataStoreValue',
+        execution: 'executionValue',
+      };
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.executionPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.executionPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('executionPath', () => {
+        const result = client.executionPath(
+          'projectValue',
+          'locationValue',
+          'metadataStoreValue',
+          'executionValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.executionPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromExecutionName', () => {
+        const result = client.matchProjectFromExecutionName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromExecutionName', () => {
+        const result = client.matchLocationFromExecutionName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchMetadataStoreFromExecutionName', () => {
+        const result = client.matchMetadataStoreFromExecutionName(fakePath);
+        assert.strictEqual(result, 'metadataStoreValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchExecutionFromExecutionName', () => {
+        const result = client.matchExecutionFromExecutionName(fakePath);
+        assert.strictEqual(result, 'executionValue');
+        assert(
+          (client.pathTemplates.executionPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('hyperparameterTuningJob', () => {
       const fakePath = '/rendered/path/hyperparameterTuningJob';
       const expectedParameters = {
@@ -2236,6 +2467,71 @@ describe('v1.SpecialistPoolServiceClient', () => {
       });
     });
 
+    describe('pipelineJob', () => {
+      const fakePath = '/rendered/path/pipelineJob';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        pipeline_job: 'pipelineJobValue',
+      };
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.pipelineJobPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.pipelineJobPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('pipelineJobPath', () => {
+        const result = client.pipelineJobPath(
+          'projectValue',
+          'locationValue',
+          'pipelineJobValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromPipelineJobName', () => {
+        const result = client.matchProjectFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromPipelineJobName', () => {
+        const result = client.matchLocationFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchPipelineJobFromPipelineJobName', () => {
+        const result = client.matchPipelineJobFromPipelineJobName(fakePath);
+        assert.strictEqual(result, 'pipelineJobValue');
+        assert(
+          (client.pathTemplates.pipelineJobPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {