mlsanityData to 14 Oct 2026

Lessons Learned from Educating AI Engineers

arXiv 2103.10703 ↗First posted 19 Mar 2021cs.AI cs.SEcited by 3

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Abstract (arXiv)

Over the past three years we have built a practice-oriented, bachelor level, educational programme for software engineers to specialize as AI engineers. The experience with this programme and the practical assignments our students execute in industry has given us valuable insights on the profession of AI engineer. In this paper we discuss our programme and the lessons learned for industry and research.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 2 of its 11 references that are in the map. First posted on arXiv 19 Mar 2021.

Builds on

2 of 11 references.

References · 2

  1. 2020Engineering AI Systems: A Research Agendacited by 37
  2. 2020Teaching Software Engineering for AI-Enabled Systemscited by 7

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.

  1. 2023Teaching MLOps in Higher Education through Project-Based Learningcited by 3
  2. 2024Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Educationcited by 0
  3. 2025Scaffolding Collaborative Learning in STEM: A Two-Year Evaluation of a Tool-Integrated Project-Based Methodologycited by 0