Teaching MLOps in Higher Education through Project-Based Learning
February 02, 2023 Β· Declared Dead Β· π 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)
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Authors
Filippo Lanubile, Silverio MartΓnez-FernΓ‘ndez, Luigi Quaranta
arXiv ID
2302.01048
Category
cs.SE: Software Engineering
Cross-listed
cs.LG
Citations
13
Venue
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)
Last Checked
3 months ago
Abstract
Building and maintaining production-grade ML-enabled components is a complex endeavor that goes beyond the current approach of academic education, focused on the optimization of ML model performance in the lab. In this paper, we present a project-based learning approach to teaching MLOps, focused on the demonstration and experience with emerging practices and tools to automatize the construction of ML-enabled components. We examine the design of a course based on this approach, including laboratory sessions that cover the end-to-end ML component life cycle, from model building to production deployment. Moreover, we report on preliminary results from the first edition of the course. During the present year, an updated version of the same course is being delivered in two independent universities; the related learning outcomes will be evaluated to analyze the effectiveness of project-based learning for this specific subject.
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