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All paths

Use and lead AI

Domain expert → AI practitioner

I am an expert in my field

Use your expertise to apply AI to the real problems of your field.

You become An AI practitioner in your field

Some code13 courses · about 168–224 hours
Open the path

Use and lead AI

AI team lead

I lead an engineering team

Lead a team that builds AI: judge designs, quality, risk and cost.

You become A confident leader of an AI team

Read code13 courses · about 70–95 hours
Open the path

Use and lead AI

AI product leader

I decide what products to build

Decide which AI products to build, and launch them responsibly.

You become An AI product leader

No code10 courses · about 67–89 hours
Open the path

Build AI

RAG and evaluation specialist

I want AI to answer from our documents

Make AI answer from your own documents, and measure how good the answers are.

You become A RAG and evaluation specialist

Code is central9 courses · about 136–184 hours
Open the path

Build AI

Full-stack AI product and portfolio

I want to build a whole AI product

Build, evaluate and ship a complete AI product, from the interface to the release.

You become A full-stack AI engineer

Code is central20 courses · about 284–390 hours
Open the path

Build AI

Production ML and AI operations

I run systems in production

Deploy, release, scale and operate ML and LLM systems in production.

You become An MLOps or LLMOps engineer

Code is central16 courses · about 210–285 hours
Open the path

Build AI

Deep learning and model adaptation

I want to know how models work inside

Understand neural networks and transformers, and adapt models with fine-tuning.

You become A deep learning engineer

Code is central10 courses · about 160–212 hours
Open the path

A full dot is a whole course, a half dot its concept modules, a small ring an optional course.

The colour of a course is its track:

Answer a few questions in your profile. My learning then shows the path for your goal, the courses that you may skip, and the weeks it takes at your pace.