Module 2 · Beyond the Basic Model and Accuracy

Weeks 9–14. Additional topics beyond building an accuracy-focused model: the modern ML systems you’ll build (foundation models and agents) and how to evaluate them, as well as considerations around ethics, causality, field evaluation, robustness, uncertainty, interpretability, and fairness — applied to the project.

Session descriptions, readings, and slides live on the schedule so there’s a single place to keep them up to date. Links below go straight to each session.

Sessions

Session	Date
ML ethics	Tue Oct 20
Building systems with foundation models	Thu Oct 22
Building systems with AI agents	Tue Oct 27
Evaluation in the field	Thu Oct 29
Evaluating GenAI systems	Thu Nov 5
Causality	Tue Nov 10
Distribution shift and robustness	Thu Nov 12
Uncertainty quantification	Tue Nov 17
Interpretability	Thu Nov 19
Fairness	Tue Nov 24

Project sessions in this stretch: final presentations (Dec 1 & 3).