Week 1: Why Machine Learning Exists

Week 2: Mental Model of a Machine Learning System

Week 3: Data: The Real Product Dependency

Week 4: What a Model Really Is

Week 5: Types of Learning (Big Buckets)

Week 6: Training: How Models “Learn”

Week 7: Evaluation: Measuring the Right Thing

Week 8: Bias, Fairness & Representation

Week 9: Explainability & Trust

Week 10: ML as a Product Component

Week 11: Failure Modes of ML Systems

Week 12: ML in the Real World

Week 13: Build vs Buy Mental Models

Week 14: ML Economics