Make it click.
Then make something.
Guided lessons, original sources, and projects you can run on your own computer. Pick the path that meets you where you are.
AI Foundations for a Beginner
Build, test, and explain a small classifier while recognizing leakage, overfitting, and misleading metrics.
Explore this path Build & fine-tuneAI Builder: Small-Model Fine-Tuning
Fine-tune a small open model with LoRA, evaluate it against a frozen baseline, and package the adapter with reproducible documentation.
Explore this path Computational biologyAI for a Computational Biologist
Build a reproducible, biologically constrained analysis from public sequence and expression data without mistaking prediction for mechanism.
Explore this path Theoretical physicsAI for a Theoretical Physicist
Use differentiable and data-driven models without discarding dimensional analysis, conservation laws, numerical baselines, or uncertainty.
Explore this path DermatologyAI Literacy for a Dermatologist
Audit a dermatology AI study or baseline for provenance, leakage, subgroup performance, calibration, and reporting quality using only deidentified public data.
Explore this pathNo paid API or rented accelerator is required for these exercises. Study times are estimates; prerequisites and local hardware requirements are listed in each path.