NVIDIA DLI Teaching Kit Program

The NVIDIA Deep Learning Institute (DLI) Teaching Kit Program provides access to downloadable teaching materials and online courses to help university educators incorporate GPUs into their curriculum. 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 computing skill sets.

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Teaching Kits

The NVIDIA DLI Teaching Kits include downloadable instructional materials and online courses that provide the foundation for understanding and building hands-on expertise in areas like accelerated computing, data science, deep learning, graphics, and robotics. Each Teaching Kit includes some combination of:

  • Lecture slides
  • Lecture videos
  • Hands-on labs/coding projects/solutions
  • Online DLI courses with certification
  • eBooks
  • GPU cloud resources
  • Qualified educators can also receive codes for free access to DLI online, self-paced training for themselves and their students—a value of up to $90 per course, per student. Each course includes a self-paced learning environment with access to a GPU-accelerated workstation in the cloud. Students only need a web browser and internet connection to get started.

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    Accelerated Computing

    Co-developed with Professor Wen-Mei Hwu and his team at University of Illinois (UIUC) and Professor Sunita Chandrasekaran and her team at University of Delaware, the Accelerated Computing Teaching Kit covers introductory and advanced accelerated parallel computing topics, including (but not limited to):

  • Introduction to CUDA C
  • Memory and Data Locality
  • Thread Execution Efficiency
  • Memory Access Performance
  • Parallel Computation Patterns
  • Efficient Host-Device Data Transfer
  • OpenACC, MPI, OpenCL
  • Unified Memory
  • Dynamic Parallelism
  • Multi-GPU Systems
  • CUDA Library Usage
  • Available in English, Portuguese and Russian.

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    Data Science

    Co-developed with Professor Polo Chau and his team at Georgia Tech and Professor Xishuang Dong and his team at Prairie View A&M University, the Accelerated Data Science Teaching Kit covers fundamental and advanced topics in data collection and preprocessing, accelerated Data Science with RAPIDS, scalable and distributed computing, machine learning, data visualization and graph analytics. This first release includes focused modules covering (but not limited to):

  • Introduction to Data Science and RAPIDS
  • Data Collection and Pre-processing (ETL)
  • Data Ethics and Bias in Data Sets
  • Data Integration and Analytics
  • Data Visualization
  • Scalable and Distributed Computing with Hadoop, Hive and Spark
  • Available in English.

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    Deep Learning

    Co-developed with Professor Yann LeCun and his team at New York University (NYU), the Deep Learning Teaching Kit covers introductory and advanced deep learning topics, including (but not limited to):

  • 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
  • Available in English, Japanese and Russian.

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    Robotics

    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 in robotics using the embedded Jetson development platform and includes (but is not limited to):

  • Introduction to Robotics and Jetson
  • ROS Robot O/S
  • Sensors
  • Computer Vision
  • Machine Learning
  • Dead Reckoning
  • Path Planning
  • Available in English.

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    Graphics and Omniverse

    Created in consultation with top film and animation schools in our Studio Education Partner Program, this Teaching Kit is designed for college and university educators looking to bring graphics and NVIDIA Omniverse™ - an open platform for virtual collaboration and real-time physically accurate simulation - into the classroom.

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    Teaching Kits in Action




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    The NVIDIA Hardware Grant Program promotes advances in artificial intelligence and data science by partnering with academic institutions around the world to enable researchers and educators with industry-leading hardware and software.

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