Courses

Use Claude Code to build, test, and ship one small feature end-to-end —> directing the agent through the full Plan → Implement → Test → Review → Commit loop — and post your commit history and self-review as your project.

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.

ChatGPT's memory. AI search. RAG. Recommendation engines. All of it stands on ONE idea — and almost nobody using AI actually understands it. This course takes you from absolute zero (no code, no math, no fees) to building your own AI search engine that finds things by meaning. In the age of AI, this is the line between people who prompt and people who build. Which side are you on?