Conference Workshops & Training

GTC is the perfect opportunity to grow and enhance your skills with hands-on, instructor-led training.

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Instructor-Led Workshops

Don’t see a GTC workshop in your time zone? Visit the Deep Learning Institute to see all upcoming Instructor-Led Public Workshops.

  • Europe, Middle East, and Africa
  • NALA
  • INDIA
  • Taiwan
  • JAPAN
  • KOREA

Monday, November 8
$149
09:00-17:00 (CET, UTC +1)

Fundamentals of Deep Learning, English (DLIW1383)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to usefreely available, state-of-the-art pre-trained models to save time and get your deep learning applications up and running quickly.

SOLD OUT:
This workshop is now available on 11/18/21. Use code DLIGTC50 to receive half-off full-price registration.
Register >

Fundamentals of Accelerated Computing with CUDA C/C++, English (DLIW1384)

Learn how to accelerate and optimize existing C/C++ CPU-only applications to leverage the power of GPUs using the most essential NVIDIA® CUDA® techniques and the Nsight™ Systems profiler.

Monday, November 8
$149
09:00-17:00 (CET, UTC +1)

Fundamentals of Accelerated Data Science, English (DLIW1385)

Find out how to perform multiple analysis tasks on large data sets using NVIDIA RAPIDS™, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

SOLD OUT:
This workshop is now available on 12/6/21. Use code DLIGTC50 to receive half-off full-price registration.
Register >

Building Transformer-Based Natural Language Processing Applications, English (DLIW1386)

Learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You’ll also get insight on how to use Transformer-based models for named-entity recognition (NER) tasks and more.

SOLD OUT: This workshop is now available on 12/14/21. Use code DLIGTC50 to receive half-off full-price registration.
Register >

Applications of AI for Predictive Maintenance, English (DLIW1387)

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.

Monday, November 8
$149
09:00-17:00 (CET, UTC +1)

Scaling CUDA C++ Applications to Multiple Nodes, English (DLIW1498)

Learn the tools and techniques required to write CUDA C++ applications that can scale efficiently to clusters of NVIDIA GPUs. You will do this by working on code from several CUDA C++ applications in an interactive cloud environment backed by several NVIDIA GPUs.
 

Monday, November 8
$149
09:00-17:00 (CET, UTC +1)

Accelerating Data Engineering Pipelines, English (DLIW1417)

Explore how GPUs can improve data pipelines and how using advanced data engineering tools and techniques can result  in significant performance acceleration.

Tuesday, November 9
Free with GTC Registration
11:00-16:00 (CET, UTC +1)

Configure High Mobility AI-Infrastructure in 5 Min (DLIT1698)

Write and run a script to configure your data-center in 5 minutes. Learn how to build and deploy step-by-step Ansible-Playbooks to create high-performing data center infrastructure.

Wednesday, November 10
Free with GTC Registration
13:00-15:00 (CET, UTC +1)

Accelerating and Scaling Inference with NVIDIA GPUs (DLIT1697)

Deploy PyTorch, ONNX, TensorFlow, and TensorRT models to Triton on NVIDIA GPUs. Completing this lab, you’ll be able to explore real-world challenges that data scientists face.

Tuesday, November 9
Free with GTC Registration
15:00-18:00 (CET, UTC +1)

Introduction to Learning Deep Learning (DLIT1607)

Introduction to the book Learning Deep Learning from NVIDIA Deep Learning Institute. The talk will cover a high-level description of topics covered by LDL and a more detailed description of some of the content in the initial chapters, including programming examples.

Wednesday, November 10
Free with GTC Registration
15:00-18:00 (CET, UTC +1)

Optimizing CUDA Machine Learning Codes with Nsight Profiling Tools (DLIT1605)

Use NVIDIA’s Nsight tools to analyze and optimize CUDA applications and explore parallelization opportunities.

Thursday, November 11
Free with GTC Registration
15:00-18:00 (CET, UTC +1)

Session-based Recommendation Powered by Transformers (DLIT1699)

Explore the main concepts and algorithms for session-based recommendation while deploying a trained model to the NVIDIA Triton Inference Server.
 

Tuesday, November 9
Free with GTC Registration
06:00-08:00 (EST)

Introduction to Learning Deep Learning (DLIT1607)

Introduction to the book Learning Deep Learning from NVIDIA Deep Learning Institute. The talk will cover a high-level description of topics covered by LDL and a more detailed description of some of the content in the initial chapters, including programming examples.

Wednesday, November 10
Free with GTC Registration
08:00-10:00 (EST)

Developer Tools Fundamentals for Ray Tracing Using NVIDIA Nsight Graphics and NVIDIA Nsight Systems (DLIT1606)

Write and run a script to configure your data-center in 5 minutes. Learn how to build and deploy step-by-step Ansible-Playbooks to create high-performing data center infrastructure. 

Wednesday, November 10
Free with GTC Registration
06:00-08:00 (EST)

Optimizing CUDA Machine Learning Codes with Nsight Profiling Tools (DLIT1605)

Use NVIDIA’s Nsight tools to analyze and optimize CUDA applications and explore parallelization opportunities.

Wednesday, November 10
Free with GTC Registration
07:00-09:00 (EST)

Best Practices in Feature Engineering for Tabular Data with GPU Acceleration (DLIT1696)

Learn the best practices for feature engineering techniques specific to tabular data building off our teams’ collective experience competing in data science competitions, such as Kaggle and RecSys.
 

Thursday, November 11
Free with GTC Registration
06:00-08:00 (EST)

Session-based Recommendation Powered by Transformers (DLIT1699)

Explore the main concepts and algorithms for session-based recommendation while deploying a trained model to the NVIDIA Triton Inference Server.
 

Monday, November 8
$149
09:00-17:00 (IST, UTC +5:30)

Fundamentals of Deep Learning, English (DLIW1394)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to use freely available, state-of-the-art pre-trained models to save time and get your deep learning applications up and running quickly.

Thursday, November 11
$149
09:00-17:00 (IST, UTC +5:30)

Building Transformer-Based Natural Language Processing Applications, English (DLIW1395)

Learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You’ll also get insight on how to use Transformer-based models for named-entity recognition (NER) tasks and more.  

Monday, November 8
$149
09:00-17:00 (CST, UTC +8)

Building Transformer-Based Natural Language Processing Applications, Traditional Chinese (DLIW1392)

Learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You’ll also get insight on how to use Transformer-based models for named-entity recognition (NER) tasks and more.

Thursday, November 11
$149
09:00-17:00 (CST, UTC +8)

Building Intelligent Recommender Systems, Traditional Chinese (DLIW1393)

Learn the fundamental tools and techniques for building highly effective recommender systems, as well as how to deploy GPU-accelerated solutions for real-time recommendations.

Tuesday, November 9
$149
09:00-17:00 (JST, UTC +9)

Applications of AI for Predictive Maintenance, Japanese (DLIW1389)

Discover 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.

Tuesday, November 9
$149
09:00-17:00 (JST, UTC +9)

Applications of AI for Predictive Maintenance, Japanese (DLIW1389)

Discover 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.

Monday, November 8
$149
09:00-17:00 (KST, UTC +9)

Building Transformer-Based Natural Language Processing Applications, Korean (DLIW1390)

Learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents. You’ll also get insight on how to use Transformer-based models for named-entity recognition (NER) tasks and more.

Thursday, November 11
$149
09:00-17:00 (KST, UTC +9)

Fundamentals of Deep Learning for Multi-GPUs, Korean (DLIW1391)

Learn the fundamental tools and techniques for building highly effective recommender systems, as well as how to deploy GPU-accelerated solutions for real-time recommendations.

"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

Preview the DLI Experience

 

Learn At Your Own Pace

Interested in developing key skills in AI, accelerated computing, data science, graphics and more? Learn how to set up end-to-end projects —anytime, anywhere, with just your computer and an internet connection through NVIDIA DLI.

DLI Programs For Educators

Get resources to guide the next generation of technology leaders. DLI provides educators with downloadable teaching kits and other tools for delivering immersive, hands-on experiences in robotics, deep learning, accelerated computing, data science, and graphics.

Accelerate your Startup

Explore the startup track at GTC to learn how NVIDIA Inception can fuel your growth through go-to-market support, world-class training, and technology assistance.