AI: Topics in Machine Learning (Neural Networks)

This five-week course introduces students to modern machine learning techniques, with an emphasis on neural networks and deep learning. Students explore core algorithms and architectures that power today’s AI systems, gaining hands-on experience in applying these methods to real-world data and policy challenges.

Instruction blends foundational theory with practical lab work, case studies, and critical discussions of opportunities and limitations in deploying machine learning for policymaking. The course concludes by examining how policy frameworks can shape AI development and adoption, preparing students to evaluate AI tools and their societal implications with rigor and insight.