Paths: literacy, builder, researcher-lite
The canonical recommended paths through AI LEARNING CENTER, expanded from Course 01’s how-to-learn chapter—for navigation and future Learn UI.
What it is
The canonical recommended paths through AI LEARNING CENTER, expanded from Course 01’s how-to-learn chapter—for navigation and future Learn UI.
Why it matters
A large curriculum needs on-ramps. Paths reduce abandonment.
How it works (plain)
- Literacy: understanding + verification + society + dangers
- Builder: ML/LLM/RAG/agents/MLOps/labs
- Researcher-lite: math/classical/transformers/causality/eval/papers
Electives after the spine. Role playbooks customize.
Try it
Print the path for your goal and check off three chapters this week.
Myths
- ⚠️ Myth: Paths forbid curiosity.
- ✓ Reality: They’re defaults, not cages.
Sources
- Course 01 how-to-learn-ai-paths; Course 28 maps;
plan.md - Elements of AI / fast.ai as parallel free tracks