It's never been easier to build an AI agent — and never been harder to make one that actually works. This course takes you from language-model foundations to production-ready multi-agent systems, with the depth to predict failure before it happens and take absolute architectural ownership.
Move beyond the demo and build a Claude Code agent your team can operate. You will implement tool boundaries, evaluation gates and recovery paths, then assemble the evidence for a production-readiness review.
Build powerful AI agents without relying on the cloud. In this hands-on course, you'll learn how to create intelligent, production-ready agents that run entirely on your own hardware using Ollama. Starting with the fundamentals and progressing to advanced topics like RAG, tool calling, long-term memory, and multi-agent systems, you'll develop real-world applications through practical, copy-and-run examples. Whether you're building personal assistants, automation tools, or sophisticated AI workflows, this course gives you the knowledge and code to build fast, private, and reliable AI agents with confidence.
Learn Python asyncio from zero by building the event loop by hand. Six fetches go from 12 seconds to 3 on one thread, and you understand every line. Most asyncio tutorials throw async and await at you on page one. This course builds the event loop by hand first, in plain Python, so the keywords finally click. Six fetches drop from 12 seconds to 3, on one thread, and you understand every line. No magic. This interactive course has a companion book, Asyncio Without the Magic, on Leanpub at https://leanpub.com/asyncio . The book is the deep, cover-to-cover read; the course is where you make it stick with quizzes, build-it-yourself exercises, and runnable notebooks. They are built to be used together: read the idea in the book, then drill it in the course until it is yours. You get a lot from either one on its own, and the most by far from both together.