Watch the recordings from my Python + AI series

A comprehensive nine-part video series covering Python integration with generative AI models. Topics include working with LLMs, embedding models, and vision models; implementing RAG, tool calling, and structured outputs; evaluating AI quality and safety; building AI agents with frameworks like LangGraph and Microsoft agent-framework; and exploring the Model Context Protocol. All code examples run free using GitHub Models and are compatible with local models, Azure OpenAI, or OpenAI.com. Materials include recordings, slides, and code examples suitable for self-study or classroom use.