Hands-On Workshops and Certifications at GTC Taipei

Build practical skills with immersive, instructor-led learning experiences designed for real-world AI and accelerated computing workflows.

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Two-Hour Training Labs

More than 60 two-hour instructor-led training lab sessions are scheduled from March 16–19, and included as part of the conference add-on Training Labs Access pass. You can still upgrade your experience by adding the $500 pass to your existing four-day conference registration. Just log in to your GTC registration, select “Add Package,” and choose the Training Labs Access pass. Group discounts are available for purchases of three or more passes.

Seating is limited. Reservations are held only until the posted start time, so please arrive at least 10 minutes early.
Reserve a seat by selecting "Add to Schedule".

Below are a few featured labs from this year’s lineup:

Dive deep into the theory and practice of low-latency inference by deploying NVIDIA® TensorRT™-LLM with advanced speculative decoding techniques. You'll train an Eagle-3 draft head to propose candidate tokens efficiently, serve it, and benchmark it using AIPerf to quantify how these strategies minimize latency.

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In this hands-on lab, learn about the challenges of running training pipelines and how to integrate resiliency and fault-tolerance features. We'll present various fault-tolerance mechanisms provided in frameworks like NVRx and PyTorch, and demonstrate how to achieve robust, scalable training in modern AI factories using NVIDIA NeMo™. Gain practical insights into techniques for measuring I/O and overall infrastructure performance. 

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Learn 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.

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This hands-on lab introduces mechanical and simulation engineers to GPU-accelerated, real-time CFD workflows that combine interactive visualization with physics-AI models. Participants will use NVIDIA technologies to connect CFD simulations, PhysicsNeMo, and digital twin environments, enabling faster iteration and more reliable design insights.

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Learn how to create intelligent operational dashboards for digital twin applications using NVIDIA Omniverse™. Build compact, real-time monitoring interfaces with React to track factory metrics, robot states, and sensor data streams. Embed custom panels into Kit applications and deploy dashboards across local and cloud environments. Learn to integrate LLM agents for natural language interaction with your digital twin data.

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Learn how to build robust OpenUSD-based data pipelines using USD Exchange SDK and existing 3D software and tools for scalable physical AI workflows. Start with common 3D source formats and write Python-based code to extract, transform, and load assets into reusable, modular USD representations suitable for large-scale workflows.

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In this hands-on lab, General Robotics will guide you through a complete, end-to-end solution development workflow built on the NVIDIA ecosystem. You'll learn how to capture teleoperated tasks for robotics and simulate in NVIDIA Isaac Sim™, generate high-volume synthetic datasets and test policies, deploy learned behaviors to real robots running on NVIDIA Jetson™, and, finally, analyze performance and iterate.

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Tuesday, June 2  |  9:30 a.m.–5:30 p.m. Taipei Time

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. Workshop registration includes a GTC Taipei Conference pass.

All workshops are sold out, but you can still participate in the certification exams proctored onsite at GTC Taipei. (*Not applicable for Keynote Only at Taipei Music Center passes.)

Venue Taipei International Convention Center
Early-Bird and Alumni Price (Available Until May 5) USD 350 (NTD 11,200) per workshop seat
Academia, Government, and Non-Profit Discount USD 350 (NTD 11,200) per workshop seat
Regular Price USD 500 (NTD 16,000) per workshop seat

A 5% VAT has already been applied to prices shown. Payment and receipt will be in USD. A Taiwan Uniform-Invoice will be issued with the exact NTD amount shown on this webpage.

Building AI Factory Digital Twins With the NVIDIA Omniverse DSX Blueprint

This comprehensive, hands-on workshop will cover how to use OpenUSD, automated clash detection, and real-time multi-physics simulations to build an AI factory digital twin featuring autonomous robotic safety systems and AI-driven data pipelines.

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Adding New Knowledge to Large Language Models (LLMs)

Learn to develop, deploy, and operate sovereign AI systems tailored to your specific requirements—from data preparation to production scaling.

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How to Simulate, Train, Validate, and Deploy an End-to-End Robotics Workflow With NVIDIA Isaac

Get experience training, validating, and deploying robotic policies using NVIDIA Isaac Sim™ and Isaac GR00T. You’ll learn how sim-to-real techniques accelerate robot learning and real-world automation.

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Group Pricing

Purchase three or more training lab seats and save 30%.

Purchase an In-Person Group Package

Get Certified at GTC Taipei

Unlock new opportunities with an NVIDIA technical certification. Validate your skills, stand out from your peers, and take your AI career to the next level.

For GTC Taipei conference attendees, we’re offering proctored associate-level certification exams at no cost (valued at $125), available exclusively during the conference. This includes the new Associate Accelerated Data Science exam. 

In the meantime, explore the NVIDIA Certification Portal to learn more about the exams and recommended preparation courses.

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NVIDIA Certification Programs
NVIDIA Certification Programs

Get Certified at GTC Taipei

Unlock new opportunities with an NVIDIA technical certification. Validate your skills, stand out from your peers, and take your AI career to the next level.

For GTC Taipei conference attendees, we’re offering proctored associate-level certification exams at no cost (valued at $125), available exclusively during the conference. This includes the new Associate Accelerated Data Science exam. 

In the meantime, explore the NVIDIA Certification Portal to learn more about the exams and recommended preparation courses.

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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 

Workshop Cancellation Policy

If you can’t make the event, submit your cancellation requests at NVIDIA_registration@accessus.biz. The following processing fees will apply: 

  • Before 11:59 p.m. CST, Friday, May 15, 2026: A cancellation fee of USD 50 will apply to full-day workshop and conference passes, and the amount will be shown as NTD 1,680 on a Taiwan Uniform-Invoice.
  • After 11:59 p.m. CST, Friday, May 15, 2026: No refunds will be granted.
  • No-shows are ineligible for workshop refunds.

Please note: If you cancel your workshop registration, your access to the NVIDIA GTC Taipei will also be canceled.

Substitution requests will be granted but must be received by 11:59 p.m. CST, Friday, May 22, 2026. To transfer your registration to a colleague or if you’re having difficulty registering online, please email NVIDIA_registration@accessus.biz, and we'll be happy to assist you.

 

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Building AI Factory Digital Twins With the NVIDIA Omniverse DSX Blueprint

Prerequisite(s):

  • Python: Intermediate skills — running scripts, working with APIs, basic data manipulation
  • 3D concepts: Basic understanding of scenes, coordinate systems, and scene graphs (experience with NVIDIA OmniverseTM preferred, but any 3D tool or engine experience is sufficient)
  • OpenUSD fundamentals: Familiarity with prims, layers, stages, and composition arcs recommended; completion of the open-sourced curriculum Learn OpenUSD is recommended.
  • Ideal audience: Engineers, developers, simulation specialists, and technical leaders working in industrial digital twins, factory design, robotics safety, or physical AI

Adding New Knowledge to Large Language Models (LLMs)

Prerequisite(s):

  • Intermediate Python programming skills
  • Previous work with LLM-based applications and understanding of prompt engineering principles
  • Familiarity with fine-tuning concepts (training/validation splits, basic ML metrics)
  • Basic knowledge of GPU acceleration for ML workloads (NVIDIA® CUDA® experience helpful but not required).

How to Simulate, Train, Validate, and Deploy an End-to-End Robotics Workflow With NVIDIA Isaac

Prerequisite(s):

  • Intermediate experience with Python, including working with packages, virtual environments, and basic scripting
  • Familiarity with 3D content concepts such as meshes, materials, transforms, and scene hierarchies from tools like Blender, Maya, or similar DCC applications
  •  Understanding of command-line usage for running scripts and managing project files. 
  • Understanding of the basics of world foundation models
  • Familiarity with robotics or simulation workflows (for example, using simulation tools or working with physics-enabled assets)
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