Artificial Intelligence Systems Architecture

Catalog description

This course examines the architectural foundations of artificial intelligence systems, focusing on the design, integration, and deployment of scalable, reliable, and secure AI solutions. Topics include data pipelines, model lifecycle management, distributed and cloud-based AI infrastructures, edge and embedded AI systems, and system performance optimization. Students will explore architectural trade-offs and best practices through case studies and applied design exercises.