Applied AI Systems

3 credits

This course bridges the gap between the theoretical foundations of artificial intelligence and its real-world engineering applications. We begin by examining the philosophical and computational roots of AI, exploring original texts on the imitation game alongside modern research on computational efficiency and resource-aware systems. Moving beyond the underlying mathematics, students will gain hands-on experience building scalable, production-oriented AI applications. Through applied case studies such as engineering a robust, Netflix-style recommender system students will learn how to deploy AI. The primary assessment is a semester-long, student-designed applied AI project, with graded milestones guiding them from system architecture to final deployment.