NVIDIA Deep Learning Institute
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Introduction

Date: Tuesday, September 19, 2023
Time: 14:00 - 15:00 CEST
Duration: 1 hour

The call for accelerated computing and data science skills is soaring, and classrooms are on the front lines of feeding this demand. The NVIDIA Training offers hands-on training in AI, accelerated computing, and accelerated data science. Developers, data scientists, educators, researchers, and students can get practical experience powered by GPUs in the cloud.


In addition to training, NVIDIA Training offers educators in academia access to two special programs:

  • The NVIDIA DLI University Ambassador Program certifies qualified instructors to teach NVIDIA workshops, at no cost, across campuses and academic conferences to faculty, students, and researchers. NVIDIA workshops offer student certification, which demonstrates subject matter competency and supports career growth.
  • NVIDIA DLI Teaching Kits, a separate but complementary program, offers full-term course materials that lower the barrier of incorporating AI and GPU computing in the classroom

Join this webinar to learn how to get involved in these programs.



In this webinar you will learn:
  • The latest about NVIDIA Training portfolio of hands-on courses and workshops
  • An overview of the NVIDIA DLI University Ambassador Program and its benefits
  • How educators can access DLI Teaching Kits containing curriculum materials in accelerated computing, deep learning, and robotics
  • How to access free online training, certification, and cloud access to GPUs for teachers and students.
See available courses and learning paths. Visit the NVIDIA Training webpage.

Webinar Registration

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Kevin McFall
Master Instructor, NVIDIA
Kevin McFall, Ph.D., is a Master Instructor for the NVIDIA Deep Learning Institute. He is trained as a mechanical engineer with degrees from Virginia Tech, MIT, and Georgia Tech. He began his journey into AI during a research position in a Computer Engineering Department. He since built an academic career exploring topics in machine learning, computer vision, and robotics. Now at NVIDIA, he leverages this background to deliver DLI workshops across a wide spectrum of deep learning technologies.
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Date & Time: Wednesday, April 22, 2018