AI Applications Lab

3 credits · Graduate

This project-based experiential course is designed for advanced undergraduate and masters students familiar either with artificial intelligence basics or machine learning methods who are interested in studying and building AI systems in a specific application domain. The course focuses on how modern AI methods move from models to working products, including problem formulation, data and evaluation design, human feedback, deployment constraints, and the organizational choices that determine whether an AI system succeeds in practice. Applications of interest include education, health, scientific discovery, marketplaces, enterprise automation, public sector services, and creative tools.