Conference Workshops & Training

GTC provides a perfect opportunity to learn and enhance your skills with hands-on, instructor-led training.

Training is also available year-round through the NVIDIA Deep Learning Institute. Choose from an extensive catalog of self-paced, online courses or instructor-led virtual workshops to help you develop key skills in AI, accelerated computing, data science, graphics and simulation, and more.

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

Microsoft Azure

Full-Day Workshops

The following workshops took place during GTC in March 2022. GTC Workshops in September 2022 coming soon.

  • North America
  • Europe
  • India
  • Korea
  • Taiwan
  • Japan

Applications of AI for Anomaly Detection (DLIW1573)

The amount of information moving through our world’s telecommunications infrastructure makes it one of the most complex and...


Conducted in English

Building AI-Based Cybersecurity Pipelines (DLIW2515)

The NVIDIA Morpheus AI framework lets cybersecurity developers and practitioners harness the power of GPU computing to...

 

Conducted in English

 

Building Intelligent Recommender Systems (DLIW1571)

Deep learning-based recommender systems are the secret ingredient behind personalized online experiences and powerful...


Conducted in English

Building Transformer-Based Natural Language Processing Applications (DLIW1572)

You’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing...

Conducted in English

Fundamentals of Accelerated Computing with CUDA C/C++ (DLIW1570)

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs.

Conducted in English

Fundamentals of Accelerated Data Science (DLIW1574)

RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. In this...
 

Conducted in English

Fundamentals of Deep Learning (DLIW1569)

Discover how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train...

Conducted in English

Fundamentals of Accelerated Computing with CUDA C/C++ (DLIW1570)

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs.

Conducted in English

Fundamentals of Accelerated Data Science (DLIW1574)

RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. In this...
 

Conducted in English

Fundamentals of Deep Learning (DLIW1569)

Discover how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train...

Conducted in English

Applications of AI for Predictive Maintenance (DLIW2331)

Learn how to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and use this information to map anomalies to failure conditions.

Conducted in English

Building Conversational AI Applications (DLIW2460)

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


Conducted in English

Building Transformer-Based Natural Language Processing Applications (DLIW2330)

You’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You...

Conducted in English

Fundamentals of Accelerated Computing with CUDA Python (DLIW2458)

This course explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs.

Conducted in English

Fundamentals of Accelerated Data Science (DLIW2342)

RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

Conducted in English

Fundamentals of Deep Learning (DLIW2329)

Discover how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train...

Conducted in English

Applications of AI for Predictive Maintenance (DLIW2331)

Learn how to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and use this information to map anomalies to failure conditions.

Conducted in English

Building Conversational AI Applications (DLIW2460)

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


Conducted in English

Building Transformer-Based Natural Language Processing Applications (DLIW2330)

You’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You...

Conducted in English

Fundamentals of Accelerated Computing with CUDA Python (DLIW2458)

This course explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs.

Conducted in English

Fundamentals of Accelerated Data Science (DLIW2342)

RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

Conducted in English

Fundamentals of Deep Learning (DLIW2329)

Discover how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train...

Conducted in English

Applications of AI for Anomaly Detection (DLIW2336)

The amount of information moving through our world’s telecommunications infrastructure makes it one of the most...

Building Conversational AI Applications (DLIW2461)

Learn how to quickly build and deploy production quality conversational AI applications with real-time transcription and...

Building Transformer-Based Natural Language Processing Applications (DLIW2328)

You’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing...

Fundamentals of Accelerated Data Science (DLIW2337)

RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

Conducted in English

Fundamentals of Deep Learning (DLIW2327)

Discover how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll...

Conducted in English

Building Transformer-Based Natural Language Processing Applications (DLIW2326)

You’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing...

Conducted in Korean

Fundamentals of Deep Learning (DLIW2325)

Discover how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models...

Conducted in Korean

Fundamentals of Deep Learning for Multi-GPUs (DLIW2335)

Modern deep learning challenges leverage increasingly larger datasets and more complex models. As a result, significant computational..

Conducted in Korean

Building Transformer-Based Natural Language Processing Applications (DLIW2456)

You’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You will...

Conducted in Taiwanese

Fundamentals of Accelerated Computing with CUDA Python (DLIW2459)

This course explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to...

Conducted in Taiwanese

Applications of AI for Predictive Maintenance (DLIW2332)

Learn how to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and use..

Conducted in Japanese

Fundamentals of Accelerated Computing with CUDA C/C++ (DLIW2457)

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel...

Conducted in Japanese

Monday, March 21: 9:00am-5:00pm

Applications of AI for Predictive Maintenance (DLIW2332)

Learn how to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and use this information to map anomalies to failure conditions.

* 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.

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

Cancellation Policy

If you need to cancel, your request must be made in writing to GTC_registration@nvidia.com. The following processing fees will apply:

 

  • Before 24:00 PST, Friday, February 25, 2022 - A $25 processing fee will apply.
  • After 24:00 PST, Friday, February 25, 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 PST, Friday, February 25, 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.