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
12 paths

NLP & Transformers

Foundations & researchTokenisation and subword algorithmsMorphology-aware preprocessing for Arabic
NLP & Transformers

Understand how machines read language — and why they read Arabic badly.

Intermediate → Advanced · Duration: 6-9 months

Computer Vision

Foundations & researchImage fundamentals & colour spacesDataset building and annotation quality
Computer Vision

From pixels to a camera that works in a real, badly lit room.

Advanced · Duration: 6-9 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 →