The NVIDIA Deep Learning Institute offers self-paced classes for deep learning that feature interactive lectures, hands-on exercises, and live Q&A with instructors. You’ll learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications with widely used open-source frameworks and NVIDIA software. During the hands-on exercises, you will use GPUs and deep learning software in the cloud.

Introduction to Deep Learning (archived course)

This is an introductory course, so previous experience with deep learning and GPU programming is not required.

Introduction to Deep Learning

Class: Download | Stream | Slides
Assignment: Hands-on lab
Q&A:Download | Stream | Slides | Q&A Log

Getting Started with DIGITS for Image Classification

Class: Download | Stream | Slides
Assignment: Hands-on lab
Q&A: Download | Stream | Q&A Log

Getting Started with the Caffe Framework

Class: Download | Stream | Slides
Assignment: Hands-on lab
Q&A: Download | Stream | Q&A Log

Getting Started with the Theano Framework

Class: Download | Stream | Slides
Assignment: Hands-on lab
Q&A: Download | Stream

Getting Started with the Torch Framework

Class: Download | Stream | Slides
Assignment: Hands-on lab
Q&A: Download | Stream


Please send your questions to [email protected].

For additional recommendations on courses from leading organizations and researchers in the deep learning community, check out the Getting Started with Deep Learning page.