This module provides a curriculum that integrates climate justice (CJ) and machine learning (ML) for practical real-world applications. Part 1 explores why ML is useful to advance CJ, ethical considerations, and sociotechnical frameworks. Part 2 discusses how to move from data to impact. Part 3 explores urban heat disparities as a case study for interpretable ML applications. Parts 4 and 5 explore climate health equity in heat-related illness.