Training Future Machine Learning Engineers: A Project-Based Course on MLOps

Filippo Lanubile; Silverio Martínez‐Fernández; Luigi Quaranta

doi:10.1109/ms.2023.3310768

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JOURNAL ARTICLE

Training Future Machine Learning Engineers: A Project-Based Course on MLOps

Filippo Lanubile Silverio Martínez‐Fernández Luigi Quaranta

Year: 2023 Journal: IEEE Software Vol: 41 (2)Pages: 60-67 Publisher: IEEE Computer Society

DOI: 10.1109/ms.2023.3310768

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Abstract

In this paper, we present an overview of a project-based course on MLOps by showcasing a couple of sample projects developed by our students. Additionally, we share the lessons learned from offering the course at two different institutions.

Keywords:

Course (navigation) Training (meteorology) Computer science Software engineering Engineering management Engineering Artificial intelligence Systems engineering

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4.54

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0.94

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Topics

Scientific Computing and Data Management

Social Sciences → Decision Sciences → Information Systems and Management

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Ethics and Social Impacts of AI

Social Sciences → Social Sciences → Safety Research

Training Future Machine Learning Engineers: A Project-Based Course on MLOps

Abstract

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Citation History

Topics

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