Foundations of Generative AI

3 credits · Undergraduate

Core concepts and practical techniques of generative artificial intelligence (AI), offering a broad survey of models, use cases, and application areas. Prompt engineering, foundational AI architecture, and the stages of training involved in building modern AI systems. Security and privacy considerations, the limitations of current technologies, and augmentation approaches, including agentic systems. Responsible use AI systems, engage in critical evaluations of new developments and discussions about generative AI in academia, research, and society. Prerequisite AI 1010. [3]