Hands-on tutorials for Claude Code, AI agents, cloud and system design
Microsoft’s Generative AI for Beginners is the rare full-stack GenAI curriculum that doesn’t oversell itself: 21 lessons, each one self-contained, each one labeled either “Learn” (the concept) or “Build” (real code in Python and TypeScript). It’s the course most people bookmark and never finish. At 113,000 stars and counting, that’s a lot of bookmarks. View… Continue reading
Microsoft’s AI Agents for Beginners is the agent-specific sequel to their GenAI course, 18 lessons, each with a written README, a short video walkthrough, and Python code samples. Where the GenAI course teaches you how LLMs work, this one assumes you know and shows you how to wrap them into agents that actually do things…. Continue reading
GenAI Agents by Nir Diamant is one of the most prolific agent tutorials repositories on GitHub: 53+ Jupyter notebooks covering everything from a basic conversational bot to multi-agent systems with complex memory. New tutorials land every few weeks. If you learn by opening a notebook and running it cell by cell, this is your kind… Continue reading
Agents Towards Production is Nir Diamant’s other major repo, the one that picks up where his GenAI Agents tutorials end. Twenty-eight production-focused notebooks covering everything you need once your agent actually has users: stateful workflows, vector memory, Docker deployment, FastAPI endpoints, security guardrails, GPU scaling, observability, and evaluation. The unsexy half of agent engineering, taught… Continue reading
MCP for Beginners is Microsoft’s free open-source curriculum for the Model Context Protocol: the cross-language spec that’s becoming the default way AI agents call external tools. Six language tracks (.NET, Java, TypeScript, JavaScript, Rust, Python), real working code in each, and a chapter-by-chapter path from “what is MCP” to “ship a production server.” View MCP… Continue reading