SWE 485: Artificial Intelligence Systems

This course provides a comprehensive introduction to artificial intelligence and machine learning. Key topics include the fundamentals of supervised and unsupervised learning, deep learning, and advanced machine learning concepts such as Transformer Learning and Generative AI. The course will also explore policy gradient methods in reinforcement learning. Students are expected to have a strong foundation in calculus, probability, and linear algebra. Additionally, covers a broad array of research topics and latest trends in system design, focusing on optimizing architecture and performance to support the next generation of AI applications.