Get Hands-On Training at GTC with DLI Workshops

Full-day workshops are $99 before August 29.  

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Two-hour training labs are included in your free conference pass. Full-day workshops are $99 per workshop if you register by August 29, 2022—$149 through GTC (standard price $500).

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.
Note that these workshops fill up fast, so register today to reserve your seat.

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

Microsoft Azure

Experience full-day workshops.

Select your time zone:

Conducted in English

Monday, September 19
6:00 a.m. - 2:00 p.m. PDT

Fundamentals of Deep Learning (DLIW41160)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. This workshop will teach you the fundamental techniques and tools required to train a deep learning model.

Monday, September 19
6.00 a.m. - 2:00 p.m. PDT

Building AI-Based Cybersecurity Pipelines (DLIW41161)

See how the NVIDIA Morpheus AI framework lets cybersecurity developers and practitioners harness the power of GPU computing to implement cybersecurity solutions.

 

Monday, September 19
6:00 a.m. - 2:00 p.m. PDT

Fundamentals of Accelerated Computing with CUDA C/C++ (DLIW41162)

Explore the NVIDIA CUDA® computing platform to enable CPU-only applications to run on the world’s fastest  parallel GPUs. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

Monday, September 19
6:00 a.m. - 2:00 p.m. PDT

Building Transformer-Based Natural Language Processing Applications (DLIW41163)

Learn 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.

Monday, September 19
9:00 a.m. - 5:00 p.m. PDT

Applications of AI for Anomaly Detection (DLIW41164)

Learn about multiple AI based solutions that solve important telecommunications problems by identifying network intrusions. See how to implement the following  anomaly detection techniques: accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANS).

Monday, September 19
9:00 a.m. - 5:00 p.m. PDT

Scaling CUDA C++ Applications to Multiple Nodes (DLIW41220)

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

Conducted in English

Monday, September 19
9:00 a.m. - 5:00 p.m. CEST

Fundamentals of Deep Learning (DLIW41151)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. This workshop will teach you the fundamental techniques and tools required to train a deep learning model.

Monday, September 19
9:00 a.m. - 5:00 p.m. CEST

Building Transformer-Based Natural Language Processing Applications (DLIW41152)

Discover 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.

Monday, September 19
9:00 a.m. - 5:00 p.m. CEST

Computer Vision for Industrial Inspection (DLIW41153)

Explore how to build a deep learning model to automate the verification of capacitors in NVIDIA's printed circuit board (PCB) using a real production dataset. This can lower the verification cost and increase the production throughput across various of manufacturing use cases.  

Monday, September 19
9:00 a.m. - 5:00 p.m. CEST

Model Parallelism: Building and Deploying Large Neural Networks (DLIW41221)

Learn how to train the largest of neutral networks and deploy them to production using techniques such as activation checkpointing, gradient accumulation, and various forms of model parallelism to overcome the challenges associated with large-model memory footprint.

Monday, September 19
9:00 a.m. - 5:00 p.m. CEST

Building Conversational AI Applications (DLIW41154)

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

Monday, September 19
9:00 a.m. - 5:00 p.m. CEST

Building AI-Based Cybersecurity Pipelines (DLIW41155)

Explore how the NVIDIA Morpheus AI framework lets cybersecurity developers and practitioners harness the power of GPU computing to implement cybersecurity solutions.

Conducted in English

Monday, September 19
9:30 a.m. - 6:00 p.m. IST

Fundamentals of Deep Learning (DLIW41156)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. This workshop will teach you the fundamental techniques and tools required to train a deep learning model.

Tuesday, September 20
9:30 a.m. - 6:00 p.m. IST

Building Transformer-Based Natural Language Processing Applications (DLIW41157)

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.

Wednesday, September 21
9:30 a.m. - 6:00 p.m. IST

Fundamentals of Accelerated Data Science (DLIW41223)

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.

Thursday, September 22
9:30 a.m. - 6:00 p.m. IST

Building Conversational AI Applications (DLIW41158)

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

Friday, September 23
9:30 a.m. - 6:00 p.m. IST

Applications of AI for Anomaly Detection (DLIW41159)

Explore multiple AI based solutions for solving important telecommunications problems by identifying network intrusions. Learn how to implement three different anomaly detection techniques: accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANS).

Conducted in Korean

Wednesday, September 21
9:00 a.m. - 6:00 p.m. KST

Model Parallelism: Building and Deploying Large Neural Networks (DLIW41209)

Learn how to train the largest of neutral networks and deploy them to production using techniques such as activation checkpointing, gradient accumulation, and various forms of model parallelism to overcome the challenges associated with large-model memory footprint.

Conducted in Taiwanese

Tuesday, September 20
10:00 a.m. - 5:00 p.m. Taiwan Standard Time

Applications of AI for Predictive Maintenance (DLIW41210)

Explore multiple AI based solutions for solving important telecommunications problems by identifying network intrusions. Learn how to implement three different anomaly detection techniques: accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANS).

Conducted in Japenese

Thursday, September 22
9:00 a.m. - 5:00 p.m. JST

Fundamentals of Accelerated Data Science (DLIW41222)

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.

* 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.

Join two-hour training labs.

Monday, September 19
8:00 a.m. - 11.30 a.m. PDT
Introduction to AI in the Data Center Add to schedule >
Tuesday, September 20
3:00 p.m. - 5.00 p.m. CEST
Introduction to Graph Neutral Networks Add to schedule >
Tuesday, September 20
11:00 a.m. - 1.00 p.m. CEST
An Introduction to cuQuantum Add to schedule >
Wednesday, September 21
5:00 p.m. - 7.00 p.m. PDT
Towards Digital Twins in Omniverse: The Fundamentals Add to schedule >
Thursday, September 22
8:00 a.m. - 10.00 a.m. PDT
Optimizing CUDA Machine Learning Codes with Nsight Profiling Tools Add to schedule >
Monday, September 19
8:00 a.m. - 11.30 a.m. PDT


Introduction to AI in the Data Center

Add to schedule >
Tuesday, September 20
3:00 p.m. - 5.00 p.m. CEST

Introduction to Graph Neutral Networks

Add to schedule >
Tuesday, September 20
11:00 a.m. - 1.00 p.m. CEST

An Introduction to cuQuantum

Add to schedule >
Wednesday, September 21
5:00 p.m. - 7.00 p.m. PDT

Towards Digital Twins in Omniverse: The Fundamentals

Add to schedule >
Thursday, September 22
8:00 a.m. - 10.00 a.m. PDT

Optimizing CUDA Machine Learning Codes with Nsight Profiling Tools

Add to schedule >

Visit the GTC Session Catalog to view all free two-hour Training Labs.

Explore even more DLI training.

The NVIDIA Deep Learning Institute 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, accelerated data science, graphics and simulation, and more. Check out a list of self-paced courses or browse through the list of upcoming free academic workshops.

Explore Even More DLI Training

The NVIDIA Deep Learning Institute 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, accelerated data science, graphics and simulation, and more. Check out a list of self-paced courses or browse through the list of upcoming free academic workshops.

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 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

“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

“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, August 29, 2022 - A $25 processing fee/cancellation penalty will apply.
  • After 24:00 PDT, Monday, August 29, 2022 - 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, September 5, 2022. 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.