Demand for graduates with AI skills is booming, and the NVIDIA Deep Learning Institute (DLI) provides resources to help you give your students hands-on experience in areas like deep learning, accelerated computing, and robotics.
Thu, September 26, 2024
9:00 a.m.-5:00 p.m. CEST
Mon, September 30, 2024
9:00 a.m.-5:00 p.m. CEST, UTC+2 (EMEA)
Wed, October 16, 2024
9:00 a.m.-5:00 p.m. CEST
DLI Teaching Kits are available to qualified university educators interested in course solutions across data science, deep learning, accelerated computing, and robotics. Comprehensive and modular, you can integrate lecture materials, hands-on exercises, GPU cloud resources, and more into your curriculum.
Qualified university educators are eligible for instructor certification through the DLI Ambassador Program, enabling delivery of DLI workshops to university students, researchers, and faculty. You’re encouraged to download the DLI Teaching Kits and then consider applying for the Ambassador Program for additional benefits.
If you’re an educator or trainer teaching robotics and AI using NVIDIA® Jetson™, this certification recognizes competency in teaching AI on Jetson. It’s earned after a project-based assessment and an interview with NVIDIA experts.
NVIDIA’s higher-education leadership and Pawel Morkisz, assistant professor of mathematics at AGH University of Science and Technology in Krakow, discuss the Deep Learning Teaching Kit, co-developed with Professor Yann LeCun and his team at New York University.
Learn about the NVIDIA DLI and University Ambassador Program and hear real examples of how leading academics are involved with the Ambassador Program.
In addition to DLI training, DLI also offers educators in academia access to two special programs. The DLI University Ambassador Program certifies qualified instructors to teach DLI workshops, across campuses and academic conferences to faculty, students, and researchers. DLI Teaching Kits offers full-term course materials that lower the barrier of incorporating AI and GPU computing in the classroom.
Learn about the latest version of the Accelerated Computing Teaching Kit, a comprehensive set of academic labs, university teaching material, and e-book for use in introductory and advanced parallel programming courses.
Educational resources target a new generation of students and teachers exploring autonomous machines.
The GPU Hackathon and Bootcamp program pairs computational and domain scientists with experienced GPU mentors to teach them the parallel computing skills they need to accelerate their work.