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Microsoft AI Agents for Beginners: 18 Free Lessons
Microsoft's free 18-lesson course on AI agent design — context engineering, MCP, multi-agent patterns, and memory management, with videos and Python examples in each lesson.
Microsoft published 18 free lessons on how AI agents are structured, from basic design patterns to multi-agent systems and production deployment. Each lesson includes a video, written explanation, and Python code samples. Lesson 12 covers context engineering — how to frame tasks so the agent holds the thread through a long conversation. Lesson 11 covers agentic protocols: MCP, A2A, and NLWeb. Other lessons cover agent memory management, the planning design pattern, multi-agent orchestration, computer-use agents, and securing agents in production. The course is available in 50+ languages via auto-translation and has 75,000 stars on GitHub.
Why a vibe-coder should care
If you work with AI agents every day, these lessons help you understand why the agent sometimes loses the thread of a task and how to avoid it. Understanding context engineering and memory patterns makes your instructions to the agent more effective, even without writing code. Reading the lessons requires only a browser. Running the code examples requires an Azure account.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
Open https://github.com/microsoft/ai-agents-for-beginners, navigate to lesson 12 on context engineering, read the README for that lesson, and explain the main idea in simple terms — how to frame tasks for an agent so it stays on track; ask me if any access keys are needed
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