Hands-On Training at GTC

Get up to speed on all the latest breakthroughs with two-hour training labs or attend full-day, instructor-led, technical workshops.

Hands-On Training at GTC

Get up to speed on all the latest breakthroughs with two-hour training labs or attend full-day, instructor-led, technical workshops.

Register for Full-Day Workshops

Immerse yourself in next-gen NVIDIA technology and tools by registering for a full-day, hands-on technical workshop. They go beyond scratching the surface of the technology with in-depth labs led by proven subject matter experts. And you’ll earn a certificate of competency after completing any workshop.

$495 per in-person workshop. $149 per virtual workshop. GTC package and group discounts are available.    

Sunday, March 17, 2024
9:00 a.m.–5:00 p.m. PDT

Fundamentals of Deep Learning

Learn the key techniques and tools required to train a deep learning model through hands-on exercises in computer vision and natural language processing.

Sunday, March 17, 2024
9:00 a.m.–5:00 p.m. PDT

Generative AI With Diffusion Models

Get started with gen AI application development. Learn how to build a text-to-image generative AI application using the latest techniques. 

Sunday, March 17, 2024
9:00 a.m.–5:00 p.m. PDT

Rapid Application Development Using Large Language Models (LLMs)

Learn how applications powered by large language models can help enterprises automate language-related and many other tasks, helping to streamline operations, decrease expenses, and increase productivity. 

Sunday, March 17, 2024
9:00 a.m.–5:00 p.m. PDT

Bootstrapping Computer Vision Models With Synthetic Data

Learn how to use NVIDIA Omniverse™ Replicator, a core Omniverse extension, to accelerate the development of computer vision models.

Sunday, March 17, 2024
9:00 a.m.–5:00 p.m. PDT

Efficient Large Language Model (LLM) Customization

Learn a variety of techniques to efficiently customize pretrained LLMs for your specific use cases using the open-source NVIDIA NeMo™ framework.

Sunday, March 17, 2024
9:00 a.m.–5:00 p.m. PDT

Model Parallelism: Building and Deploying Large Neural Networks

Learn how to train the largest neural networks and deploy them to production using techniques to overcome the challenges associated with a large-model memory footprint.

Tuesday, March 19, 2024
9:00 a.m.–5:00 p.m. CET

Fundamentals of Deep Learning

Learn the key techniques and tools required to train a deep learning model through hands-on exercises in computer vision and natural language processing.

Tuesday, March 19, 2024
9:00 a.m.–5:00 p.m. CET

Building Transformer-Based Natural Language Processing Applications

Learn how to use natural language processing transformer-based models for “text classification” tasks.

Tuesday, March 19, 2024
9:00 a.m.–5:00 p.m. CET

Fundamentals of Accelerated Computing With CUDA Python

Learn the fundamental tools and techniques for running GPU-accelerated Python applications using NVIDIA® CUDA® GPUs and the Numba compiler.

Tuesday, March 19, 2024
9:00 a.m.–5:00 p.m. CET

Generative AI With Diffusion Models

Get started with gen AI application development. Learn how to build a text-to-image generative AI application using the latest techniques.

Wednesday, March 20, 2024
9:00 a.m.–5:00 p.m. CET

Computer Vision for Industrial Inspection

Build a deep learning model to automate the verification of capacitors in an NVIDIA printed circuit board (PCB) using a real production dataset. Lower the verification cost and increase the production across various use cases.

Wednesday, March 20, 2024
9:00 a.m.–5:00 p.m. CET

Data Parallelism: How To Train Deep Learning Models on Multiple GPUs

Discover the techniques for data-parallel deep learning training on multiple GPUs and work with deep learning tools, frameworks, and workflows to perform neural network training.

Wednesday, March 20, 2024
9:00 a.m.–5:00 p.m. CET

Rapid Application Development Using Large Language Models (LLMs)

Learn how applications powered by large language models can help enterprises automate language-related and many other tasks, helping to streamline operations, decrease expenses, and increase productivity.

Wednesday, March 20, 2024
9:00 a.m.–5:00 p.m. CET

Enhancing Data Science Outcomes With Efficient Workflows

Learn how to create an end-to-end hardware-accelerated machine learning pipeline for large datasets by using NVIDIA RAPIDS™ and Dask to scale data science workloads.

Thursday, March 21, 2024
9:00 a.m.–5:00 p.m. CET

Applications of AI for Anomaly Detection

Learn about multiple AI-based solutions that solve important telecommunications problems by identifying network intrusions.

Thursday, March 21, 2024
9:00 a.m.–5:00 p.m. CET

Model Parallelism: Building and Deploying Large Neural Networks

Learn how to train the largest neural networks and deploy them to production using techniques to overcome the challenges associated with a large-model memory footprint.

Thursday, March 21, 2024
9:00 a.m.–5:00 p.m. CET

Bootstrapping Computer Vision Models With Synthetic Data

Learn how to use NVIDIA Omniverse™ Replicator, a core Omniverse extension, to accelerate the development of computer vision models.

Thursday, March 21, 2024
9:00 a.m.–5:00 p.m. CET

Efficient Large Language Model (LLM) Customization

Learn a variety of techniques to efficiently customize pretrained LLMs for your specific use cases using the open-source NVIDIA NeMo™ framework.

Tuesday, March 19, 2024
9:30 a.m.–6:00 p.m. IST

Fundamentals of Deep Learning

Learn the key techniques and tools required to train a deep learning model through hands-on exercises in computer vision and natural language processing.

Wednesday, March 20, 2024
9:30 a.m.–6:00 p.m. IST

Building Transformer-Based Natural Language Processing Applications

Learn how to use natural language processing transformer-based models for “text classification” tasks.

*Pricing is shown in USD, but payments will be processed in local currency and are subject to exchange rates and related taxes at time of transaction.

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Group Pricing

Purchase three or more of the same pass type to save 30% when you register.

Purchase In-Person Group Package
Purchase Virtual Group Package

Join Two–Hour Training Labs

Complimentary two-hour training lab sessions (scheduled from March 18–21) are included as a part of your Conference + Training pass. Further information will be provided soon.

Explore More Training From NVIDIA

Take advantage of a comprehensive range of resources tailored to various learning requirements, including learning materials, self-paced and live instructor-led training, and programs for educators. These resources ensure that individuals, teams, organizations, educators, and students can access the necessary tools to elevate their expertise in AI, accelerated computing, data science, graphics and simulation, and beyond.

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DLI Training
NVIDIA set up a great virtual training environment and we were taught directly by deep learning/CUDA experts, so our team could understand not only the concepts but also how to use the codes in the hands-on lab, which helped us understand the subject matter more deeply. The team enjoyed the class immensely. 

— Hyunkoo Kwak 
Learning and Development Lead, Manufacturing Technology Center, Samsung Electronics

NVIDIA DLI workshops help me stay at the cutting edge of my field. With highly motivated students and very knowledgeable instructors, the experience is as enjoyable as it is informative. The consistently relevant examples will keep me coming back for years! 

— John Snyder
Senior Data Scientist, ThreatConnect 

The training was a great success with my team. The lectures and labs were inspiring and fun. Excellent instructors, too!

— Timothée Carayol
Data Science Expertise Lead, ING Germany 

View Our Cancellation Policy

If you can’t make the event, submit your cancellation requests at GTC_registration@nvidia.com. The following processing fees will apply: 
 

  • Before 24:00 PDT, Monday, February 26, 2024–A $50 processing fee/cancellation penalty will apply.
  • After 24:00 PDT, Monday, February 26, 2024–No refunds will be granted.
  • No-shows are ineligible for DLI workshop refunds.


Substitution requests will be granted but must be received by 24:00 PDT, Friday, March 8, 2024. To transfer your registration to a colleague or if you’re having difficulty registering online, please email GTC_registration@nvidia.com, and we'll be happy to assist you.  

Contact Us

Don’t miss the chance to be a part of what comes next. Join us live at the San Jose Convention Center on March 18–21, 2024.

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