AI learning paths

Structured paths to go from where you are to working in AI — each one built around real projects, not a reading list.

AllBuild AI systemsApply AI to your jobLead AI in your companyFoundations & research
3 paths

LLM Applications

Build AI systemsLLM API design & retry semanticsStructured output & schema validation
LLM Applications

Close the gap between a demo that impresses and a product that holds.

Intermediate → Advanced · Duration: 5-7 months

AI Agents

Build AI systemsAgentic loop design from scratchTool interfaces and error surfaces
AI Agents

Systems that decide and act — and fail gracefully when they decide wrong.

Advanced · Duration: 6-8 months

MLOps

Build AI systemsReproducible pipelines & data versioningPackaging and serving (batch, online, shadow)
MLOps

Put AI in production and keep it there — through drift, incidents and invoices.

Advanced · Duration: 6-9 months

How to use these paths

  1. Pick the path that matches where you want to end up, not the one that sounds most impressive.

  2. Follow the phases in order — each one assumes the previous.

  3. Build every project. A path you only read is a path you did not do.

  4. Expect the timings to slip. They assume steady weekly effort, not a sprint.

Want to walk one of these paths with a coach and a cohort?

Discover the 212AY Academy →