RAG & AI Agents

Build real RAG systems and AI agents.

A six-week, hands-on program. Turn text into vectors and build agents that actually work — then evaluate them, connect tools with MCP, and add the observability to run them in production.

embedding space
dog
puppy
cat
car
engine
invoice

what you’ll learn

RAGEmbeddingsVector searchAI agentsMCP toolsEvalsObservability

how retrieval-augmented generation works

Question->
Embed->
Search->
Retrieve->
LLM->
Answer

what makes it different

An AI-first curriculum, with people behind it.

The models are new; the way you actually get good is not. You learn faster when someone reviews your work, answers your questions, and pushes you past the parts that would otherwise stall you.

1

1:1 Mentorship

A real mentor in your corner every week — not a video library you watch alone.

2

Code & project feedback

Every project you build gets read line by line and reviewed by a human engineer.

3

Guest speakers

Live sessions with practitioners shipping AI systems in production, not just teaching them.

4

Interview prep

Mock interviews and the AI-engineering interview playbook — so you can prove it out loud.

humans in the loop

You’re not doing this alone.

Mentorship, real feedback, guest practitioners, and interview prep aren’t add-ons — they’re the program. AI writes a lot of code now. The engineers who stand out are the ones a human helped sharpen. That’s the whole point of building this with people, not just prompts.