Lab files for Azure AI Knowledge Mining modules

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI,…

☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs

Course Code for Pluralsight Course "Retrieval Augmented Generation (RAG) with Azure AI Search"

A copilot sample that uses python to ground the copilot responses in company data.

LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Managem…

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Sample Automation runbooks

This repo is for linkedin learning course: Python Essential Training (UPDATE FY24 Q4)

This is the LInkedIn Learning repo for Level Up: Java.

This is the Azure Kubernetes Service (AKS) Baseline Cluster reference implementation as produced by the Microsoft Azure Architecture Center.

Azure landing zones Terraform module

Shows how to send data to an event hub, in C#.

Learning Java Collections

This repository is for the Linkedin Learning course: Learning Java

Java: Lambdas and Streams

Event Hub Data Generator (EHDG) is a tool which generates realistic fake data based on a provided schema and sends it to Azure Event Hubs