Lessons Learned from Educating AI Engineers
Petra Heck, Gerard Schouten
TL;DR
This paper shares insights from a three-year practice-oriented AI engineering education program, highlighting lessons learned that benefit both industry and research in AI professional training.
Contribution
It introduces a novel bachelor-level AI engineering curriculum based on practical industry assignments and shares lessons learned from three years of implementation.
Findings
Practical assignments enhance industry readiness.
Curriculum design impacts AI engineer skill development.
Industry collaboration provides valuable real-world insights.
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.