Get Hands-On Training With DLI Workshops

GTC provides the perfect opportunity to learn and enhance your skills with hands-on NVIDIA Deep Learning Institute (DLI) workshops.

Training is also available year-round with an extensive catalog of self-paced, online courses or instructor-led virtual workshops to help you develop key skills in AI, accelerated computing, virtual collaboration, and more.

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We look forward to seeing you at the next GTC.

Thank you to our DLI full-day GTC workshop and training lab sponsor:

Watch GTC Technical Training Labs at Your Own Pace

Training lab recordings from GTC23 will be available in April.

Introduction to Graph Neural Networks

Learn how to model unstructured problems as classification or regression at various levels, including graph-level, node-level, edge-level, graph-to-graph level, and graph learning.

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AI-Assisted Annotation for Continuous Learning With MONAI Label

Get started with AI-assisted annotation using MONAI Label and OHIF or 3D Slicer as your image viewer and walk through creating your own MONAI label application.

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Introduction to AI in the Data Center

Learn the concepts and terminology and become familiar with NVIDIA software architecture to help start the journey to AI and GPU computing in the data center.

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Towards Digital Twins in Omniverse: The Fundamentals

Learn the basics of NVIDIA Omniverse™ Create and XR as you embark on a journey to creating a virtual world.

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Introduction to cuQuantum

Explore performant classical simulation of quantum workflows, highlighting the functionality of cuQuantum’s state vector and tensor network libraries, cuStateVec, and cuTensorNet.

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Debugging and Analyzing Correctness of CUDA Applications

Experience NVIDIA debugger and correctness tools by using CUDA-GDB and compute-sanitizer's functionalities on multiple small CUDA sample applications.

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Generate Synthetic Data Using Omniverse Replicator for Perception Models

Learn to generate a synthetic data set from assets and scenes using Omniverse Replicator in a hands-on GPU environment.

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GPU Acceleration With the C++ Standard Library

Learn how to write GPU-accelerated applications using only C++ standard language features.

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Visit NVIDIA On-Demand to view free DLI training lab session recordings on a variety of technology focus areas and industries.

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Preview the DLI Experience

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

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Want to develop key skills in AI, accelerated data science, or accelerated computing? Get hands-on instructor-led training from the NVIDIA Deep Learning Institute (DLI) and earn a certificate demonstrating subject matter competency.

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