Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course
Teaching Software Engineering for AI-enabled systems entails addressing the integration of AI components within full-scale software architectures under realistic constraints. While machine learning courses emphasize model development, students often lack experience in architectural design, deployment, and monitoring of AI-enabled systems. Empirical evaluations of such system-oriented AI courses remain limited. This paper reflects on the design and implementation of a project-based master's-level course titled AI Algorithms: Theory and Engineering, at the University of Bremen, in which students developed a movie recommendation system while making architectural design decisions to address c...
| Authors | Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin et al. |
|---|---|
| Primary category | cs.SE |
| Published | 15 June 2026 |
| Last updated at source | 15 June 2026 |
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