NVIDIA Teaching Kits

NVIDIA Teaching Kits

NVIDIA’s Teaching Kits are complete course solutions for use by educators in a variety of academic disciplines that benefit from GPU-accelerated computing. Co-developed with leading university faculty, Teaching Kits provide full curriculum design coupled with ease-of-use. Educators can bridge academic theory with real-world application to empower next-generation innovators with critical AI skillsets.

The continually updated curriculum keeps coursework timely and relevant with the latest techniques and trends. NVIDIA Teaching Kits contain content such as:

  • Lecture slides
  • Lecture videos
  • Hands-on labs and coding projects
  • Source code solutions
  • e-books
  • GPU cloud resources

Explore NVIDIA Teaching Kits



Request Teaching Kit

Co-developed with Professor Yann LeCun and his team at New York University (NYU), the Deep Learning Institute (DLI) Teaching Kit covers introductory and advanced deep learning topics, including:

  • Introduction to Machine and Deep Learning
  • Applied Image Classification
  • Applied Object Detection
  • Convolutional Neural Networks
  • Applied Image Segmentation
  • Energy-based Learning
  • Unsupervised Learning
  • Generative Adversarial Networks
  • Recurrent Neural Networks
  • Natural Language Processing
  • And Many More!



Request Teaching Kit

Co-developed with Professor Wen-Mei Hwu and his team at University of Illinois (UIUC), the Accelerated Computing Teaching Kit covers introductory and advanced accelerated parallel computing topics:

  • Introduction to CUDA C
  • Memory and Data Locality
  • Thread Execution Efficiency
  • Memory Access Performance
  • Parallel Computation Patterns
  • Histogram, Stencil, Reduction, Scan
  • Efficient Host-Device Data Transfer
  • Related Programming Models
  • OpenACC, MPI, OpenCL
  • And Many More!
  • Translated Russian and Portuguese versions available now!



Request Teaching Kit

Co-developed with Professor John Seng and his team, at California Polytechnic State University (CalPoly), the Robotics Teaching Kit with 'Jet' covers introductory and advanced multidisciplinary topics:

  • Intro. to Robotics and Jetson
  • ROS Robot O/S
  • Sensors
  • Computer Vision
  • Machine Learning
  • Dead Reckoning
  • Path Planning
  • And Many More!

An Exclusive Offer for Educators and Their Students

Qualified educators that are using the Teaching Kits receive tokens for free access to online labs using cloud-based GPUs—a value of up to $30 per lab per person. These self-paced labs reinforce deep learning and accelerated computing concepts presented in the Teaching Kits in a more applied manner to students. Additionally, faculty and students can continue to build on their hands-on knowledge through the DLI with instructor-led workshops. Learn the latest techniques for designing, training, and deploying neural network-powered machine learning across a variety of application domains. Find more information

Like to read more about these Teaching Kits or have questions? Checkout our Teaching Kit FAQ