Self-paced courses with video lectures, hands-on projects, and comprehensive learning paths.
Learn to build your own personal AI agent that manages email, calendar, files, and workflows. No programming experience required — configure Claude Code and Cowork with MCP integrations, custom skills, and automation to work for you daily.
Learn to build and ship your own AI agent chatbot interface using agentic AI coding tools. From first mockup to deployed product — master prompting, spec-driven design, databases, auth, and CI/CD with AI as your co-pilot.
Build AI agents from first principles in Python. Write the agent loop yourself against the Mistral API, design tools, manage context and memory, build a search agent and measure it against a fixed retrieval pipeline, then harden it with evals, guardrails and MCP.
A practical introduction to machine learning: Python environments, core ML concepts, and hands-on projects.
50+ video hours, 6+ projects covering ~50 ML topics. From data cleaning to model explainability.
Build recommenders from first principles in Python: popularity baselines, neighborhood methods, matrix factorization, implicit feedback and exposure, embedding maps, neural models and production pipelines. Every technique is measured on MovieLens against the baselines it has to beat.