Boost Your AI and ML Skills for Free at NVIDIA Conference

NVIDIA GTC has offered exceptional learning opportunities for developers around the world for the last 14 years.

The next conference, running virtually from March 21-24, will feature more than 900 sessions from 1,400 speakers, including some of the world’s top researchers in deep learning, data science, digital twins, autonomous vehicles, and computing in the data center, cloud and edge.

Tens of thousands of developers will attend the free conference to learn new skills and techniques from a who’s who of organizations, including Amazon, DeepMind, Dell Technologies, Epic Games, Google Brain, Mercedes-Benz, Microsoft, NASA, NFL, Snap, Stanford University, Walt Disney Studios, VMware and Zoom.

Registration for GTC is free, and hundreds of sessions are available at no charge.

Experienced developers can enroll in various Deep Learning Institute courses, including 20 free, short-day sessions and 17 full-day workshops, to dive deeper into AI and earn a certificate demonstrating subject-matter competency. The institute provides learning resources to advance developer’s knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.

Jumpstart Day One with Learning Day

 
At its core, GTC brings together developers to learn about the latest technology developments. Developers at all levels can dive into learning with courses and hands-on training. From starting a career in AI to building a virtual world to AI in the data center or developing games, attendees can choose which sessions will help them get a jumpstart to their weeklong learning at GTC. Learning Day kicks off on Monday, March 21, and goes throughout the event.

Jensen’s Keynote

 
NVIDIA CEO Jensen Huang will take the stage on March 22 at 8 am PT in an exciting news-filled keynote. Registration is not required to watch, and the keynote will be available on demand.

Connect with Experts

 
GTC’s “Connect with Experts” sessions are hosted in group or one-on-one sessions. Topics include deep learning, accelerated computing, data science, virtualization, robotics, and more.

For those new to CUDA, NVIDIA’s parallel computing platform and programming model, ”How CUDA Programming Works,” provides a look at how hardware design motivates the CUDA language and how the CUDA language motivates the hardware design. Those who are new to CUDA will get the fundamental background they need. If you're an expert, the sessions will prepare you to face your next optimization problem with a new perspective on what might work and why.

Interested in conversational AI? “Conversational AI: Build Applications with Riva and Train Multibillion Parameter Language Models Using Nemo-Megatron” is an interactive session that shows how NVIDIA Riva and NeMo Megatron make conversational AI applications possible.

Continue to Learn

 
NVIDIA’s Developer Program provides developers in all industries access to SDKs and developer tools, year-round training, early access programs, developer forums, and unlimited access to NVIDIA On-Demand, a library of resources from past GTCs and other industry events from around the world.

Developers who sign up for the developer program between March 14 through the end of April will also receive a select free course from the NVIDIA Deep Learning Institute, including infrastructure fundamentals like “Introduction to AI in the Data Center.”
In addition, developers can learn how to implement and scale AI workloads in the data center, as well as accelerated computing, with sessions like “A Deep Dive Into the Latest HPC Software.” It covers a range of topics for HPC developers, including targeting traditional HPC modeling and simulation, quantum computing, HPC+AI, scientific visualization, and high-performance data analytics.

GTC is March 21-24. To learn more about sessions and speakers and to register, visit www.nvidia.com/gtc.