Learning path
AI Researcher
Read, reproduce and extend research toward novel, defensible contributions.
L5 · ResearchtoL6 · Doctoral4 courses~13 h
What you’ll be able to do
- Understand LLM and deep-learning mechanisms deeply enough to read the literature.
- Use the Research Library's paper walkthroughs to go from paper to code.
- Frame questions, baselines and ablations for original work.
Your course sequence
Work through these courses in order. Each lesson links straight into the reader.
- 1
The vectors, matrices, calculus, and probability that machine learning runs on.
- 2
How large language models turn text into tokens, attention, and predictions.
- 3
From how networks learn to where AI is going.
- 4
Reading, running, and communicating research that holds up.
Planned specializations
These deepen the path but are not built as courses yet. They are listed honestly, not clickable, so you know what is still to come.
- PlannedMechanistic interpretability