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AI Engineering

Learning map

Where to start, what builds on what, and where each chapter leads. Pick a goal to see your route, then click a chapter.

I want to

Numbers show the recommended order and lines show what builds on what. Click a chapter to highlight its lines and see details.

Stage 1

Foundations

The theory: where AI came from, how it works and what it can do

Stage 2

Use AI well

Get dependable results from models and coding agents

Stage 3

Build with AI

APIs, retrieval and agents

Stage 4

Trust and ship

Test it, secure it and put it to work

Stage 5

Go deeper

The math underneath, training, production and staying current

Step 1Must know7 lessons · 1.6 h

How We Got Here

From the 1950s to ChatGPT: the ideas, the winters and what finally worked.

After this you can: explain how AI went from hand-written rules to learning from data, and why 2017 and 2022 changed everything.

Builds on

Nothing, start anywhere

Leads to

  1. The beginnings: 1950 to the first AI winters12 min
  2. Machine learning basics15 min
  3. Machine learning and the deep learning turn15 min
  4. The transformer launch and the models that followed15 min
  5. Why bigger worked: scaling laws12 min
  6. ChatGPT and how companies kept improving18 min
  7. What is an AI engineer?10 min
Start: The beginnings: 1950 to the first AI winters →