ITC 6711 — Foundations of AI System and Data Management
3 semester hoursGraduateLecture
Presents how modern AI systems are architected, built, and maintained through robust data engineering practices. Explores the technical building blocks that support scalable, intelligent applications in cloud-native environments, ranging from data ingestion and transformation pipelines to model deployment and integration. Emphasizes the intersection of generative AI, data infrastructure, and enterprise system design. Offers students an opportunity to gain hands-on experience in designing modular, API-driven architectures and building data workflows that enable machine learning and gen AI capabilities. Topics include data modeling, distributed processing, embedding pipelines, RESTful integration, and the basics of LLM operations.