An introduction to machine learning and artificial intelligence techniques and their potential applications in the social sciences. The primary focus is on supervised machine learning, in which some observed outcome Y is predicted using a set of X variables. These methods focus on achieving maximum predictive performance over inference and therefore provide a different approach in comparison with traditional regression models, which primarily focus on causation. This course builds up to modern neural networks and AI with respect to both supervised and unsupervised machine learning, along with generative AI.