Hands-On Workshops, Training Labs, and Certifications at GTC
Build practical skills with immersive, instructor-led learning experiences designed for real-world AI and accelerated computing workflows.
Sunday, March 15 | 8:30 a.m.–5 p.m. PDT
Full-Day Workshops
Immerse yourself in next-generation NVIDIA technology and tools by registering for a hands-on technical workshop. Led by expert instructors, these workshops dive deep into the tools and skills you need to succeed. Plus, you'll earn a certificate of competency when you’re done. All workshops take place on March 15, at the San Jose Convention Center on the Lower and Concourse levels.
Group Pricing
Purchase three or more workshop seats and save 30%.
Two-Hour Training Labs
More than 70 two-hour training lab sessions are scheduled from March 16–19, 2026, and included as part of the conference add-on Training Lab Access Pass. Below are a few featured labs from this year’s lineup:
This hands-on lab introduces Newton, a GPU-accelerated physics engine. Then we'll integrate Newton with Isaac Lab, showing how they can work together in robot-learning workflows. You'll configure tasks to run on Newton, and train and evaluate policies in Isaac Lab with Newton providing high-fidelity, high-throughput physics. You'll leave knowing how to use Newton for more realistic robotics simulation.
We'll walk you through how to turn financial services workflows into end‑to‑end AI agents, covering orchestration, tools, retrieval, and guardrails tailored to domain-specific applications in the financial services industry (FSI). Using NVIDIA’s NeMo Agent Toolkit and Blueprints, you'll get hands on to building multi‑agent systems that support use cases such as investment research and agentic commerce.
Our workshop highlights proven strategies for tabular data developed by NVIDIA’s Kaggle grandmasters, who have earned top honors in hundreds of international data science competitions. You'll practice rapid electronic design automation (EDA), large-scale feature engineering, model building, ensembling, and pseudo-labeling — all accelerated with GPUs for faster experimentation and better accuracy.
In this training lab, we'll demonstrate how state-of-the-art reasoning vision-language-actions (VLAs) models, like Alpamayo R1, can be used as part of a safety evaluation pipeline ready for next-generation, end-to-end AI-powered autonomous vehicles (AVs). Learn how to use these powerful reasoning models to aid in data curation for safety validation, using these models to mine the NVIDIA Physical AI Dataset to identify key scenarios to target with additional testing.
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Workshop 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 11:59 p.m. PST, Monday, February 23, 2026: A $50 processing fee/cancellation penalty will apply.
- After 11:59 p.m. PST, Monday, February 23, 2026: No refunds will be granted.
- No-shows are ineligible for workshop refunds.
Substitution requests will be granted but must be received by 11:59 p.m. PST, Friday, March 6, 2026. 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.