NVIDIA DLI Teaching Kits

NVIDIA Deep Learning Institute (DLI) 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.

Learn more by viewing the NVIDIA DLI Teaching Kits e-Book.

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/coding projects/solutions
  • Online DLI courses with certification
  • e-books
  • GPU cloud resources

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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:

  • 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
  • New! Unified Memory
  • New! Dynamic Parallelism
  • New! Multi-GPU Systems
  • New! CUDA Libray Usage
  • And Many More!
  • Translated Russian and Portuguese versions also available


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:

  • 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
  • Many more to come in the next release!


Deep Learning

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!
  • Translated Russian version also available


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:

  • 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 using Teaching Kits receive codes for free access to NVIDIA Deep Learning Institute (DLI) online, self-paced training for themselves and all of their students — a value of up to $90 per course per person. DLI content reinforces deep learning and accelerated computing concepts presented in the Teaching Kits and teaches students how to apply those concepts to end-to-end projects. Through built-in assessments, students can earn certificates that prove subject matter competency and can be leveraged for professional career growth. Each course presents a self-paced learning environment with access to a GPU-accelerated workstation in the cloud. All students need is a web browser and internet connection to get started. Although these courses are designed to be taken online, you are free to administer them to your students in a live setting as well. Information on how to request access for educators can be found inside the Teaching Kits upon approval.

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


Community Forum and Support

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DLI Online and Instructor-led Courses

The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI and accelerated computing to solve real-world problems. Participants can earn certification to prove subject matter competency and support professional career growth.

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Getting Started with GPUs

Suggested labs, libraries, and reference materials for those new to GPU-accelerated computing.

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GPU Access and Development Tools

Recommended development tools, CUDA downloads, and other resources.

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Existing Course Material

Learn more about real university classes, labs, and MOOCs currently using GPUs.

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Training Material and Code Samples

Tutorials, seminars, training slides, and code samples that help teach an array of parallel programming concepts.

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