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NVIDIA DLI Teaching Kits

NVIDIA deep learning teaching suite helps educators integrate GPU courses.

#educate
#deep learning
#Online courses
#GPU
#Certification
NVIDIA DLI Teaching Kits

Product Details

NVIDIA DLI Teaching Kits are a set of teaching resources provided by the NVIDIA Deep Learning Institute (DLI) designed to help university educators integrate GPU technology into their courses. Developed in conjunction with leading university faculty, these teaching kits offer complete course designs and easy-to-use resources that enable educators to combine academic theory with real-world applications and develop critical computing skills for the next generation of innovators. Most teaching packages are now also available as ready-made Canvas LMS courses.

Main Features

1
Downloadable instructional materials and online courses available.
2
Includes lecture slides, videos, hands-on labs/coding projects/solutions.
3
Offers free online DLI courses and certifications.
4
Provides e-book, quiz questions/answers.
5
Teaching Suite members receive a code to access DLI’s online courses for free.
6
Courses include GPU-accelerated workstations and self-paced learning environments.
7
Students only need a web browser and an internet connection to start learning.

How to Use

1
Visit the NVIDIA DLI Teaching Kits website.
2
Choose a teaching package that interests you, such as accelerated computing, data science, or deep learning.
3
Download required teaching materials, including lecture slides and videos.
4
Sign up and take a free online DLI course.
5
After completing the course, earn certification to prove your skills.
6
Take advantage of the hands-on labs and coding projects provided to deepen your understanding.
7
Participate in community forums and support to exchange experiences with other educators and students.

Target Users

The target audience is university educators and students, specifically individuals looking to advance their skills in areas such as accelerated computing, data science, deep learning, graphics, and robotics. These instructional suites are suitable for them because they provide educational resources that are closely tied to industry standards and practices, helping students master critical computing skills and prepare for their future careers.

Examples

An accelerated computing teaching package jointly developed by Professor Wen-Mei Hwu and the UIUC team.

An accelerated data science teaching suite developed by Professor Polo Chau and the Georgia Tech team.

A deep learning teaching package jointly developed by Professor Yann LeCun and the New York University team.

Quick Access

Visit Website →

Categories

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› AI Tutorial
› AI education assistant

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