Get Hands-On Training With DLI Workshops

Get up to speed on all the latest breakthroughs with two-hour training labs (included in your free conference pass). You can also dive deeper into NVIDIA technology and tools by registering for a full-day, instructor-led, hands-on technical workshop. The workshops are just $149 per seat through GTC (standard price $500).     

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DLI full-day GTC workshops and training sessions are sponsored by:

Advance Your Technical Skills

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. You’ll even earn a certificate of competency after completing a workshop.

The workshops are offered in multiple time zones and languages, including English, Korean, Japanese, and traditional Chinese.

Use the drop-down menu to select your time zone.

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Monday, March 20
6:00 a.m. -  2:00 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.

Monday, March 20
9:00 a.m. - 5:00 p.m. PDT

Scaling CUDA C++ Applications to Multiple Nodes

Learn the tools and techniques needed to write NVIDIA® CUDA® C++ applications that can scale efficiently to clusters of NVIDIA GPUs.  

Monday, March 20
6:00 a.m. - 2:00 p.m. PDT

Building Transformer-Based Natural Language Processing Applications

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

Wednesday, March 22
6:00 a.m. - 2:00 p.m. PDT

Fundamentals of Accelerated Data Science

Learn how to build and execute end-to-end GPU-accelerated data science workflows that let you quickly explore, iterate, and get work into production.

Wednesday, March 22
9:00 a.m. - 5:00 p.m. PDT

Building Conversational AI Applications

Learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.

Wednesday, March 22
6:00 a.m. - 2:00 p.m. PDT

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 22
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.

Thursday, March 23
9:00 a.m. - 5:00 p.m. PDT

Model Parallelism: Building and Deploying Large Neural Networks  

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

Thursday, March 23
6:00 a.m. - 2:00 p.m. PDT

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.  

Monday, March 20
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.

Monday, March 20
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.  

Monday, March 20
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 CUDA GPUs and the Numba compiler.

Wednesday, March 22
9:00 a.m. - 5:00 p.m. CET

Model Parallelism: Building and Deploying Large Neural Networks 

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

Monday, March 20
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. 

Wednesday, March 22
9:00 a.m. - 5:00 p.m. CET

Applications of AI for Predictive Maintenance

Identify key challenges around detecting anomalies that can lead to costly breakdowns with AI-based predictive maintenance.

Monday, March 20
10:00 a.m. - 6:00 p.m.
Taiwan Standard Time  

Applications of AI for Anomaly Detection  

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

Tuesday, March 21
10:00 a.m. - 6:00 p.m.
Taiwan Standard Time

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 22
10:00 a.m. - 6:00 p.m. JST  

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.  

Friday, March 24
10:00 a.m. - 6:00 p.m. JST

Building Transformer-Based Natural Language Processing Applications  

Master how to use natural language processing Transformer-based models for “text classification” tasks, such as identifying specific types of articles from within a large library of articles or abstracts.
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* DLI Workshops are an add-on and require registration for GTC.
** Academic, government, and non-profit discounts are unavailable for this pass type.
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.

See Group Pricing

Purchase 5 or more seats, and take advantage of a special price of just $99 per seat (usually $149 per seat).

Purchase Group Package

Join Two-Hour Training Labs

Monday, March 20
8:00 a.m. - 10.00 a.m. PDT		 Learn How to Create Features from Tabular Data and Accelerate your Data Science Pipeline Add to schedule >
Tuesday, March 21
3:00 p.m. - 5.00 p.m. PDT		 Building Portals from Your World to Omniverse Add to schedule >
Wednesday, March 22
7:00 a.m. - 9.00 a.m. PDT		 Using Machine Learning for Anomaly Detection and Predictive Maintenance Scenarios Add to schedule >
Wednesday, March 22
1:00 p.m. - 3.00 p.m. PDT		 Introduction to Graph Neural Networks for Operational Data Teams Add to schedule >
Thursday, March 23
11:00 a.m. - 1.00 p.m. PDT		 Accelerated AI Logistics and Route Optimization 101 Add to schedule >
Monday, March 20
8:00 a.m. - 10.00 a.m. PDT

Learn How to Create Features from Tabular Data and Accelerate your Data Science Pipeline

Add to schedule >
Tuesday, March 21
3:00 p.m. - 5.00 p.m. PDT

Building Portals from Your World to Omniverse

Add to schedule >
Wednesday, March 22
7:00 a.m. - 9.00 a.m. PDT

Using Machine Learning for Anomaly Detection and Predictive Maintenance Scenarios

Add to schedule >
Wednesday, March 22
1:00 p.m. - 3.00 p.m. PDT

Introduction to Graph Neural Networks for Operational Data Teams

Add to schedule >
Thursday, March 23
11:00 a.m. - 1.00 p.m. PDT

Accelerated AI Logistics and Route Optimization 101

Add to schedule >

See the GTC Session Catalog to view all free two-hour training labs.

View All Training Labs

Enrolling in full-day workshops is simple:

  1. Just register for a free conference pass. 

  2. Then, log into the attendee portal, select your desired workshop(s), and complete the payment process.

You can view the complete list of workshops here.
Workshops fill up fast, so register today to reserve your seat.

Register For GTC

Explore Even More DLI Training

The NVIDIA Deep Learning Institute (DLI) offers resources for diverse learning needs—from learning materials to self-paced and live training to educator programs. So individuals, teams, organizations, educators, and students get what they need to advance their knowledge in AI, accelerated computing, data science, graphics and simulation, and more.

Check out a list of self-paced courses or browse through the list of instructor-led workshops available to enterprise companies.

Explore DLI Courses and Workshops >

DLI Training

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 

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 PST, Monday, February 27, 2023 - A $25 processing fee/cancellation penalty will apply.
  • After 24:00 PST, Monday, February 27, 2023 - 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, Monday, March 6, 2023. 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.  

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