Data-Centric AI and AI Engineering

4 credits

This course is on data-centric aspects of AI lifecycle across application domains: enterprise agents, RAG, consumer chatbots, domain sciences, recommenders, etc. It covers the landscape of such systems, latest research, and open questions, spanning the areas of ML/AI, data management, and software systems. Lecture-driven course with quizzes, exams, peer discussions, and hands-on AI programming. Aimed at MS students interested in AI engineering careers and PhD students interested in research. Prerequisites: none. Restricted to graduate students only.