How to learn AI (paths)
Recommended paths through AI LEARNING CENTER / ANN Learn: **literacy**, **builder**, and **researcher-lite**—without paying for a degree to get the knowledge.
What it is
Recommended paths through AI LEARNING CENTER / ANN Learn: literacy, builder, and researcher-lite—without paying for a degree to get the knowledge.
Why it matters
A 250-chapter map overwhelms. Paths create momentum and honest prerequisites.
How it works (plain)
- Literacy: 01 → 08 → 19 → 20 → 29 (+ light 07/09)
- Builder: 01 → 03 → 07 → 08 → 09 → 10 → 17 → 18 → 21
- Researcher-lite: 04 → 06 → 07 → 16 → 18 → 23
Adjust for your job via Course 22 playbooks.
Everyday example
Learning guitar: chords first vs music theory first—both valid if you practice.
Try it
Pick a path. Schedule three chapters this week and one lab.
Myths
- ⚠️ Myth: You must finish math before touching models.
- ✓ Reality: Picture-first math (Course 04) alongside practice works for most builders.
- ⚠️ Myth: Paths are prisons.
- ✓ Reality: They’re recommendations—electives exist.
Sources
- Course 28 curriculum-maps;
plan.mdpath notes - Elements of AI: https://www.elementsofai.com/ ↗
- fast.ai: https://www.fast.ai/ ↗
