# Master AI Agentic Engineering

A six-week, notebook-based course teaching how to code and deploy AI agents using the OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Pydantic AI, and MCP.

This repository holds the exercises and setup instructions for a structured, week-by-week course on building autonomous AI agents, refreshed for summer 2026 with updated tools, models, and techniques, and organized around separate setup guides for Windows, Mac, and Linux. It walks through several agent frameworks and orchestration approaches across the six weeks rather than teaching a single library in isolation, and points to supplementary videos and course resources maintained outside the repository.

The exercises call OpenAI and other frontier model APIs and note that a modest API spend is required, while also naming lower-cost options such as DeepSeek and free options such as running models locally through Ollama for readers who prefer to avoid paid API calls.

It is written primarily in Jupyter Notebook and distributed under the MIT license.

Website: https://github.com/ed-donner/agents