This sequence explores the 'hidden' half of machine learning: how we prepare data, evaluate performance beyond simple accuracy, and ensure that AI systems are fair and ethical. Students transition from technical data cleaning to sociotechnical auditing, preparing them to be critical developers in the AI era.