AI & Machine Learning
Move from using AI tools to building the systems underneath them.
Why it's in demand
The fastest-growing specialisation in software right now
Realistic timeline
6–12 months, and it never really stops
Free resources
6 curated links
There are two honest paths into AI. One is applied: build useful things on top of existing models. The other is foundational: understand how models learn so you can train and fix your own.
Both are open to you for free. Start with intuition before mathematics — the equations land much better once you've watched a model succeed and fail on your own data.
What you'll be able to do
- Train, evaluate and deploy a model on real data
- Build products on top of large language models
- Tell the difference between a genuine result and a demo
Start here
Build depth
Get started with AI on Azure
Concepts plus hands-on labs, and preparation for the AI-900 certification.
Intro to Machine Learning
Build and validate your first model in a few hours, then continue into the intermediate track.
Hugging Face Learn
Free courses on LLMs, transformers, agents and diffusion — the modern applied stack.