PhDAI 732 - Fundamentals of AI-Enabled Systems

Credit(s): 3 hours
This course introduces students to AI-enabled systems’ core principles, components, and applications. It covers foundational topics such as machine learning, natural language processing, computer vision, and robotics while emphasizing the integration of these technologies into real-world systems. Students will gain an understanding of the architecture, design, and ethical considerations involved in building intelligent systems that interact with the physical and digital world. The course blends theoretical knowledge with practical exercises to prepare students for emerging opportunities in AI-driven innovation.