Explores the application of artificial intelligence in health contexts through a project-based approach. Emphasizes collaborative applied problem solving, critical engagement with ethical and policy considerations, and hands-on development of AI-driven health solutions. Includes healthcare data preparation and clinical problem framing to support translation between technical and clinical perspectives. Introduces responsible AI and AI safety, including evaluation metrics and human-centered approaches. Students participate in team-based projects to design, implement, and critically evaluate an AI application in health. Integrates computational methods with clinical insight to support the evolving field of AI in healthcare.