CAREER PATH

AI / ML Engineer

The shortest path on the site by cluster count, but arguably the fastest-moving domain in the whole hub right now.

4 clusters 2 domains ~40 hours AI-103 aligned

Drag to rotate · click a node to jump straight into that domain

Who this is for

Basic data literacy helps. This path assumes you're comfortable with the idea of structured data before touching AI services on top of it.

How this path works
Each cluster below links to its real lesson page. Go in order the first time through — later clusters assume the ones before them. Once you've done a full pass, use it as reference.

The path — in order

Storage & Data

01
The data pipeline every AI workload depends on.
Domain 2 · Storage & Data

AI, Data & IoT

02
Model training, deployment, and MLOps basics.
Domain 9 · AI, Data & IoT
03
GPT model deployment and prompt engineering.
Domain 9 · AI, Data & IoT
04
Vision, speech, language, and pre-built AI building blocks.
Domain 9 · AI, Data & IoT

Certification this path maps to

AI-103: Azure AI App and Agent Developer Associate

Worth knowing: the older AI-102 (Azure AI Engineer Associate) retired 30 June 2026. AI-103 is Microsoft's current replacement, with a broader focus on agentic AI applications.

Where this leads

Data Engineer covers the pipeline side this role depends on. Power Platform Developer is where these same AI services show up in a low-code context via Copilot Studio.

Start the path → See other career paths