Build autonomous AI agents with Python using LangChain and LangGraph. Learn tool calling, stateful workflows, RAG-powered agents, multi-agent systems, and production deployment. From the ReACT pattern to a full customer support agent capstone.
10 modules • 10 lessons
Learn to build multi-agent AI systems with CrewAI in about 45 minutes. Understand the crew/agent/task model, define specialized agents, create tasks, and build a real-world market research crew with analyst, researcher, and writer agents.
Set up Hermes Agent, the open-source self-hosted AI assistant from Nous Research that writes its own reusable skills and keeps all your data on your own machine. A beginner-friendly micro course: understand what makes Hermes different, install it with a single command, run your first useful tasks, and stay safe with a practical permissions checklist. Prefer a chat-app interface instead? Try the OpenClaw micro course (/courses/micro-openclaw-ai-agent).
Learn to create stunning images with AI tools like DALL-E, Midjourney, Gemini, and Stable Diffusion. From your first prompt to logos, social posts, and presentations, master practical AI image generation step-by-step. Built for university students and early-career learners with zero prior experience. Earn a free certificate to add to your LinkedIn and resume.
Master OpenAI Codex, the coding agent that works in your terminal and in the cloud. Learn the CLI with its three approval modes, run parallel sandboxed tasks with Codex Cloud, extend capabilities with the skills system, and coordinate multiple agents across large projects. Powered by GPT-5.3-Codex.
Master the principles, architecture, and core components required to build production-ready RAG applications. Learn to create custom knowledge chatbots using Next.js, Supabase with pgvector, and Google's Gemini API. Perfect for JavaScript/Next.js developers who want to integrate advanced AI features.
Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.