Instructor-Led Workshops

Take a look inside the remote learning experience.

Instructor-Led Workshops

If you’re interested in developing key skills in AI, accelerated data science, or accelerated computing, you can now get instructor-led training from the NVIDIA Deep Learning Institute (DLI). Available for both individuals and teams, workshops are taught by DLI-certified instructors who are experts in their fields, delivering industry-leading technical knowledge to drive breakthrough results.

Interested in transforming your organization into an AI powerhouse?
Check out DLI Enterprise Solutions and request a custom package.

Public Workshops

All workshops are delivered remotely in a virtual environment unless indicated otherwise. They are scheduled in various regional time zones.
Please pay attention to the date and time zone of the workshop you are planning to take as you make your selection.

NALA = North America, Latin America
EMEA = Europe, Middle East, Africa

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Computer Vision for Industrial Inspection

Generative AI With Diffusion Models

Fundamentals of Deep Learning

Rapid Application Development Using Large Language Models

Generative AI With Diffusion Models

Generative AI With Diffusion Models

Rapid Application Development Using Large Language Models

Building Transformer-Based Natural Language Processing Applications

Building Conversational AI Applications

Model Parallelism: Building and Deploying Large Neural Networks

Rapid Application Development Using Large Language Models

Model Parallelism: Building and Deploying Large Neural Networks

Efficient Large Language Model Customization

  • NALA
  • EMEA
  • INDIA
Virtual and In-Person (PST/PDT Time Zone)
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Fundamentals of Deep Learning

Generative AI With Diffusion Models

Rapid Application Development Using Large Language Models

Building Conversational AI Applications

Model Parallelism: Building and Deploying Large Neural Networks

Rapid Application Development Using Large Language Models

Efficient Large Language Model Customization

Fundamentals of Deep Learning

Generative AI With Diffusion Models

Rapid Application Development Using Large Language Models (LLMs)

Bootstrapping Computer Vision Models With Synthetic Data

Efficient Large Language Model (LLM) Customization

Model Parallelism: Building and Deploying Large Neural Networks

Virtual (EMEA CET Time Zone)
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Computer Vision for Industrial Inspection

Generative AI With Diffusion Models

Rapid Application Development Using Large Language Models

Generative AI With Diffusion Models

Building Transformer-Based Natural Language Processing Applications

Model Parallelism: Building and Deploying Large Neural Networks

Fundamentals of Deep Learning

Building Transformer-Based Natural Language Processing Applications

Fundamentals of Accelerated Computing With CUDA Python

Generative AI With Diffusion Models

Computer Vision for Industrial Inspection

Data Parallelism: How To Train Deep Learning Models on Multiple GPUs

Rapid Application Development Using Large Language Models (LLMs)

Enhancing Data Science Outcomes With Efficient Workflows

Applications of AI for Anomaly Detection

Model Parallelism: Building and Deploying Large Neural Networks

Bootstrapping Computer Vision Models With Synthetic Data

Efficient Large Language Model (LLM) Customization

Virtual (India IST Time Zone)
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Fundamentals of Deep Learning

Building Transformer-Based Natural Language Processing Applications

GTC Workshop

Enterprise Workshops

Click the workshop titles below to learn more.

  • Accelerated Computing
  • Data Science
  • Deep Learning
  • Generative AI/LLM
  • Networking
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Fundamentals of Accelerated Computing with CUDA C/C++

Fundamentals of Accelerated Computing with CUDA Python

Accelerating CUDA C++ Applications with Multiple GPUs

Scaling CUDA C++ Applications to Multiple Nodes

Fundamentals of Accelerated Computing with OpenACC

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Enhancing Data Science Outcomes With Efficient Workflows

Accelerating Data Engineering Pipelines

Fundamentals of Accelerated Data Science

Share Deep Learning Workshops
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Data Parallelism: How to Train Deep Learning Models on Multiple GPUs

Model Parallelism: Building and Deploying Large Neural Networks

Computer Vision for Industrial Inspection

Fundamentals of Deep Learning

Building Transformer-Based Natural Language Processing Applications

Building Conversational AI Applications

Applications of AI for Anomaly Detection

Applications of AI for Predictive Maintenance

Building AI-Based Cybersecurity Pipelines

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Generative AI With Diffusion Models

Rapid Application Development Using Large Language Models

Efficient Large Language Model Customization

Share Networking Workshops
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InfiniBand Professional Customized Training

Networking Professional Customized Training (NVIDIA® Mellanox Onyx®)

NVIDIA Cumulus® Linux Professional Customized Training

SONiC Administration Training

Cumulus Linux Boot Camp

Bring a Workshop to Your Organization

Interested in bringing hands-on technical training to your organization or event?

Instructor-led Public Workshops

Individuals can take Instructor-led, public workshops at the NVIDIA GPU Technology Conference (GTC) for a nominal fee. Stay up to date on upcoming DLI public workshops by signing up here.

Training by NVIDIA Partners

Fundamentals of Deep Learning

Fundamentals of Accelerated Computing with CUDA C/C++

Data Parallelism: How to Train Deep Learning Models on Multiple GPUs