通过项目式学习在高等教育中教授MLOps
Teaching MLOps in Higher Education through Project-Based Learning
AI总结：
本文提出基于项目式学习的MLOps教学方法，通过课程设计与实验室环节覆盖机器学习组件全生命周期，并报告首版实施及跨校评估计划，以验证其教学有效性。
摘要：
构建和维护生产级机器学习组件是一项复杂的工程，超出了当前以实验室中优化机器学习模型性能为重点的学术教育方法。在本文中，我们提出了一种基于项目式学习的MLOps教学方法，重点在于展示和体验新兴实践与工具，以实现机器学习组件构建的自动化。我们审视了基于此方法的课程设计，包括涵盖从模型构建到生产部署的端到端机器学习组件生命周期的实验室环节。此外，我们报告了该课程首版实施的初步结果。本年度，同一课程的更新版本正在两所独立大学中开设；相关学习成果将被评估，以分析项目式学习在这一特定主题上的有效性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
