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
- GPU cloud resources
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.Learn more
Getting Started with GPUs
Suggested labs, libraries, and reference materials for those new to GPU-accelerated computing.Learn more
GPU Access and Development Tools
Recommended development tools, CUDA downloads, and other resources.Learn more
Existing Course Material
Learn more about real university classes, labs, and MOOCs currently using GPUs.Learn more
Training Material and Code Samples
Tutorials, seminars, training slides, and code samples that help teach an array of parallel programming concepts.Learn more