This repository contains the hands-on exercises for the O’Reilly Live Event:

AI Agents Bootcamp – Designing and Deploying Enterprise Agentic Systems

Repository Structure

.
├── hands_on/  # Hands-on exercises
├── helper_functions/  # Helper functions for some notebooks     
└── README.md

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Day 1 – Foundations and Multi-Agent Design

1. From Stateless LLM to Stateful Agent

Concepts

• State machines and typed state
• Tool integration in LangGraph
• Deterministic control flow

Exercise

Build a minimal stateful agent with one tool.

Open in Colab

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2. Structured Reasoning and Test-Time Intelligence

Concepts

• Chain of Thought and ReAct
• Planner–executor vs unified agents
• Test-time compute tradeoffs
• Error propagation and validation

Exercise

Compare a simple agent with a planner–judge setup.

Open in Colab

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3. Human-in-the-Loop Safeguards

Concepts

• Autonomy vs oversight
• Checkpointing and state inspection
• Interrupt and resume patterns

Exercise

Insert a human approval gate into your workflow.

Open in Colab

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4. From Single Agent to Multi-Agent System

Concepts

• Supervisor-based architectures
• Role separation
• Delegation and task routing

Exercise

Transform a single-agent workflow into a two-agent system.

Open in Colab

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5. Communication Patterns in MAS

Concepts

• Message passing vs shared memory
• Event-driven coordination
• Handoff reliability

Exercise

Swap a communication strategy and observe system behavior changes.

Open in Colab

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Day 2 – Production-Ready Systems

6. Structured Data and MCP

Concepts

• Schema-based prompting
• Pydantic validation
• Model Context Protocol (MCP)

Exercise

Turn free-form input into validated structured tool calls.

Open in Colab

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7. Memory and Context Strategy

Concepts

• Episodic vs procedural memory
• Checkpointing
• Context engineering

Exercise

Add simple episodic and procedural memory to your agent.

Open in Colab

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8. Model and Architecture Tradeoffs

Concepts

• Planner vs unified agents
• Thinking vs non-thinking modes
• Dense vs MoE models
• KV cache considerations

Exercise

Switch planning modes and compare latency and decision quality.

Open in Colab

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9. Observability and Evaluation

Concepts

• Logging state transitions
• Monitoring workflows
• Task-specific evaluation

Exercise

Add logging hooks and compare two workflow runs.

Open in Colab

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10. Security and Guardrails

Concepts

• Tool misuse and memory poisoning
• Schema enforcement
• Secure execution patterns

Exercise

Add policy checks and validation to an existing workflow.

Open in Colab

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Running the Notebooks

All notebooks are designed for Google Colab.

1. Click the Colab link

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Design deliberately.
Deploy responsibly.