Deep Learning and GPU-Programming Instruction AT GTC

Learn from GPU experts from NVIDIA and other organizations.

Registration Open. Alumni Get 40% Off.


Get the knowledge and hands-on experience you need to transform the future of artificial intelligence,  deep learning, virtual reality, self-driving cars, high-performance computing, and more. Learn from experts from  the NVIDIA Deep Learning Institute and other leading organizations in the industry.


Senior Certified Instructor, Deep Learning Institute

Getting Started with Deep Learning

Barcelona Supercomputing Center (BSC)
Software Engineer

Best GPU Code Practices Combining OpenACC, NVIDIA® CUDA®, and OmpSs

Solutions Architect

Introduction and Integration with DriveWorks on Drive PX2


These labs are a unique opportunity to get hands-on with specific programming languages, technologies, and domains. There’s no need to schedule a self-paced lab. Just visit the Lower Level Concourse to get started.

Can’t attend GTC? Take a self-paced lab from wherever you are by creating an account using Qwiklabs.

In this lab, we introduce some basic methods for using a Convolutional Neural Network (CNN) to process Radio Frequency (RF) signals.

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Participants will explore the first two steps of the OpenACC programming cycle: Identify and Express Parallelism.

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Learn about a number of memory optimization techniques when programming with NVIDIA CUDA C/C++ for an NVIDIA GPU.

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NVIDIA Deep Learning Institute


The NVIDIA Deep Learning Institute delivers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. Through self-paced labs and instructor-led workshops, the Deep Learning Institute offers training on the latest techniques for designing, training, and deploying neural network-powered machine learning across a variety of application domains.