NVIDIA DLI Teaching Kit Program

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:

• 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.

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, the RAPIDS computing framework, distributed computing, machine learning, and graph analytics. This kit includes the following modules:

• Introduction to Data Science and RAPIDS
• Data Collection and Preprocessing (ETL)
• Data Ethics and Bias in Data Sets
• Data Integration and Analytics
• Data Visualization
• Scalable and Distributed Computing
• Machine Learning
• Neural Networks
• Graph Analytics
• GPU-accelerated Data Science

Available in English.

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:

• 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.

Edge AI and Robotics

Co-developed with Ajit Jaokar and his team from the University of Oxford and Patty Delafuente and her team from the University of Maryland Baltimore County, the Edge AI and Robotics Teaching Kit includes lecture slides and hands-on labs centered around edge AI computing, internet of things (IoT), intelligent video analytics, and autonomous robotics. The kit’s focused modules cover:

• Introduction to Edge AI
• Vision Deep Neural Networks (DNNs)
• Diversity, Ethics, and Security
• Autonomous Robotics

Additional modules available in a future release:

• Reinforcement Learning
• Conversational AI

Available in English.

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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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 certifications to prove subject matter competency and support professional career growth.

Certified Instructor Program

Experienced educators can get certified as DLI Ambassadors and deliver hands-on DLI workshops to university faculty, students, and researchers at no cost.