Generative AI Course — build with LLMs, not just talk about them.

Built for builders

Every module ends with something working — a RAG pipeline, an agent, an eval suite — not just slides about what LLMs are.

Who this is for

• Engineers who want to add GenAI to their toolkit
• Technical founders building AI features
• Data/ML practitioners moving into applied GenAI

Quick answer

The Generative AI course is a 6-week, hands-on program teaching prompt engineering, RAG pipelines, agents and evals. It's for engineers, technical founders and data/ML practitioners who want to build production GenAI systems, and it ends with a working RAG or agent project.

How this compares to free prompt engineering tutorials

• Free tutorials mostly cover prompting basics; this course goes into RAG architecture, vector databases and agentic tool use that production systems actually need
• Every module ships something working — a pipeline, an agent, an eval suite — instead of slides about how LLMs work
• Evals and guardrails, the part that separates a demo from a production system, are a dedicated module here and rarely covered in free content
• You leave with a working RAG or agent project you can show, not just notes on concepts

What you'll walk away with

• A complete RAG pipeline built end to end — ingestion, vector search and grounded generation
• Production-grade prompt chains and function calling that hold up on edge cases
• An automated evaluation suite so output quality doesn't silently regress
• A working AI agent project for interviews or client work
• Working knowledge of OpenAI, Anthropic and open-source model APIs