Conference Workshops & Training

Grow and enhance your skills with hands-on, instructor-led training at GTC.

The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science to help developers, data scientists, and other professionals solve their most challenging problems. These in-depth workshops are taught by experts in their respective fields, delivering industry-leading technical knowledge to drive breakthrough results for individuals and organizations. Complete a full day workshop and earn an NVIDIA DLI certificate to demonstrate your subject matter competency and accelerate your career growth. Short hands-on training lab sessions are free with GTC registration. Full-day workshops are priced at $249.

Sponsored By

Microsoft Azure

Instructor-Led Workshops Offered

  • NORTH AMERICA
  • EUROPE
  • INDIA
  • Taiwan
  • JAPAN
  • KOREA

Tues, April 13 | 06:00-14:00
(PDT, UTC-7)

Fundamentals of Deep Learning, English (DLIW2323)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You will train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available...

Tues, April 13 | 09:00-17:00
(PDT, UTC-7)

Fundamentals of Accelerated Computing with CUDA C/C++, English (DLIW2327)

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

Wed, April 14 | 06:00-14:00
(PDT, UTC-7)

Fundamentals of Accelerated Data Science, English (DLIW2326)

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

Wed, April 14 | 09:00-17:00
(PDT, UTC-7)

Building Transformer-Based Natural Language Processing Applications, English (DLIW2325)

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

Thurs, April 15 | 06:00-14:00
(PDT, UTC-7)

Applications of AI for Anomaly Detection, English (DLIW2328)

Learn to detect anomalies in large data sets to identify network intrusions using supervised and unsupervised machine learning techniques, such as accelerated XGBoost, autoencoders, and generative adversarial networks (GANs).

Thurs, April 15 | 09:00-17:00
(PDT, UTC-7)

Fundamentals of Deep Learning for Multi-GPUs, English (DLIW2324)

Learn how to use multiple GPUs to train neural networks and effectively parallelize training of deep neural networks using TensorFlow.

Fri, April 16 | 06:00-14:00
(PDT, UTC-7)

Deep Learning for Autonomous Vehicles - Perception, English (DLIW2329)

Learn how to design, train, and deploy deep neural networks and optimize perception components for autonomous vehicles using the NVIDIA DRIVE™ development platform.

Fri, April 16 | 09:00-17:00
(PDT, UTC-7)

Accelerating CUDA C++ Applications with Multiple GPUs, English (DLIW2322)

Learn how to write CUDA C++ applications that efficiently and correctly utilize all available GPUs in a single node, dramatically improving the performance of applications and making the most cost-effective use of systems with multiple GPUs.

Mon, April 12 | 09:00-17:00
(CEST, UTC+2)

Fundamentals of Deep Learning, English (DLIW2315)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You will train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available...

Tues, April 13 | 09:00-17:00
(CEST, UTC+2)

Applications of AI for Anomaly Detection, English (DLIW2317)

Learn to detect anomalies in large data sets to identify network intrusions using supervised and unsupervised machine learning techniques, such as accelerated XGBoost, autoencoders, and generative adversarial networks (GANs).

Tues, April 13 | 09:00-17:00
(CEST, UTC+2)

Fundamentals of Accelerated Computing with CUDA C/C++, English (DLIW2314)

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

Wed, April 14 | 09:00-17:00
(CEST, UTC+2)

Building Transformer-Based Natural Language Processing Applications, English (DLIW2319)

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

Wed, April 14 | 09:00-17:00
(CEST, UTC+2)

Deep Learning for Autonomous Vehicles - Perception, English (DLIW2318)

Learn how to design, train, and deploy deep neural networks and optimize perception components for autonomous vehicles using the NVIDIA DRIVE™ development platform.

Thurs, April 15 | 09:00-17:00
(CEST, UTC+2)

Accelerating CUDA C++ Applications with Multiple GPUs, English (DLIW2321)

Learn how to write CUDA C++ applications that efficiently and correctly utilize all available GPUs in a single node, dramatically improving the performance of applications and making the most cost-effective use of systems with multiple GPUs.

Thurs, April 15 | 09:00-17:00
(CEST, UTC+2)

Fundamentals of Accelerated Data Science, English (DLIW2320)

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

Wed, April 14 | 09:00-17:00
(CEST, UTC+2)

Deep Learning for Autonomous Vehicles - Perception, English (DLIW2318)

Learn how to design, train, and deploy deep neural networks and optimize perception components for autonomous vehicles using the NVIDIA DRIVE™ development platform.

Thurs, April 15 | 09:00-17:00
(CEST, UTC+2)

Accelerating CUDA C++ Applications with Multiple GPUs, English (DLIW2321)

Learn how to write CUDA C++ applications that efficiently and correctly utilize all available GPUs in a single node, dramatically improving the performance of applications and making the most cost-effective use of systems with multiple GPUs.

Thurs, April 15 | 09:00-17:00
(CEST, UTC+2)

Fundamentals of Accelerated Data Science, English (DLIW2320)

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

Mon, April 12 | 09:00-17:00
(IST, UTC+5:30)

Fundamentals of Deep Learning, English (DLIW2474)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You will train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available...

Fri, April 16 | 09:00-17:00
(IST, UTC+5:30)

Building Transformer-Based Natural Language Processing Applications, English (DLIW2475)

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

Wed, April 14 | 09:00-17:00
(CST, UTC +8)

Fundamentals of Deep Learning, Traditional Chinese (DLIW2471)

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

Thurs, April 15 | 09:00-17:00
(CST, UTC +8)

Fundamentals of Deep Learning for Multi-GPUs, Traditional Chinese (DLIW2472)

Learn how to use multiple GPUs to train neural networks and effectively parallelize training of deep neural networks using TensorFlow.

Fri, April 16 | 09:00-17:00
(CST, UTC +8)

Deep Learning for Intelligent Video Analytics, Traditional Chinese (DLIW2473)

Explore how to deploy object detection and tracking networks to evaluate real-time, large-scale video streams.

Mon, April 12 | 09:00-17:00
(JST, UTC+9)

Fundamentals of Deep Learning, Japanese (DLIW2476)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You will train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available...

Wed, April 14 | 09:00-17:00
(JST, UTC+9)

Fundamentals of Deep Learning for Multi-GPUs, Japanese (DLIW2477)

Learn how to use multiple GPUs to train neural networks and effectively parallelize training of deep neural networks using TensorFlow.

Wed, April 14 | 09:00-17:00
(KST, UTC+9)

Fundamentals of Deep Learning, Korean (DLIW2478)

Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You will train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available...

Thurs, April 15 | 09:00-17:00
(KST, UTC+9)

Fundamentals of Accelerated Computing with CUDA C/C++, Korean (DLIW2479)

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

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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.