Training Next Generation AI Users and Developers at NCSA
Daniel S. Katz, Volodymyr Kindratenko, Olena Kindratenko, Priyam, Mazumdar
TL;DR
This paper discusses the design, implementation, and lessons learned from a six-year undergraduate research program at NCSA aimed at training the next generation of AI users and developers.
Contribution
It introduces the FoDOMMaT REU program for AI training and shares insights gained from six years of running this educational initiative.
Findings
Effective training strategies for undergraduates in AI
Insights into program impact on student skills
Lessons learned for future AI education programs
Abstract
This article focuses on training work carried out in artificial intelligence (AI) at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign via a research experience for undergraduates (REU) program named FoDOMMaT. It also describes why we are interested in AI, and concludes by discussing what we've learned from running this program and its predecessor over six years.
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