Advancing AI and HPC Competency in Higher Education Through Faculty Instructional Enablement

· Source: NVIDIA · Field: Education & Learning — Educational Technology (EdTech), Skill Development & Professional Training, Academic Research & Higher Education · Depth: Novice, extended

Summary

NVIDIA's Deep Learning Institute (DLI) offers 6-8 hour instructor-led and self-paced courses on an OpenEdX-based platform, providing learners with cloud GPU access for lab experiments and application development. Successful completion of course assessments leads to a unique, traceable certificate. The DLI curriculum spans agentic AI, physical AI, generative AI, large language models, accelerated computing (CUDA), and edge computing. Additionally, NVIDIA supports educators through two programs: the DLI Ambassador Program, which certifies faculty and HPC trainers to teach DLI workshops and offers perks like up to $500 reimbursement for events and GTC discounts, and the Teaching Kits Program, providing downloadable, semester-long teaching materials co-developed with academics, including lecture slides, Jupyter notebooks, and self-paced course integrations. ECPI University, for example, has successfully integrated these programs, with Professor Paul Nussbaum teaching over 1,000 students since 2022, emphasizing hands-on learning and the career impact of NVIDIA certifications.

Key takeaway

For university faculty and HPC center trainers seeking to enhance AI/ML education, explore NVIDIA's DLI Ambassador and Teaching Kits programs. Becoming an Ambassador allows you to deliver certified, hands-on workshops with real GPU access, providing students with valuable, industry-recognized credentials. Alternatively, integrate the modular Teaching Kits into your curriculum for comprehensive, semester-long content, preparing students for in-demand roles and DLI certification exams.

Key insights

NVIDIA's DLI provides comprehensive AI/ML education and certification programs for academic and professional development.

Principles

Method

NVIDIA certifies faculty through an application, technical vetting, and interview process to teach DLI workshops, while also offering downloadable, co-developed teaching kits for semester-long course integration.

In practice

Topics

Best for: Research Scientist, Director of AI/ML, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA.