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Instructor-Led Workshops Now
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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.

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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
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ADVANCED
 
Wed, October 11, 2023
 
 

Building Conversational AI Applications

Wed, October 11, 2023
 
 
7:00 a.m.-3:00 p.m. PDT, UTC-7 (NALA)
Register Now
FUNDAMENTALS
 
Thu, October 19, 2023
 
 

Fundamentals of Deep Learning

Thu, October 19, 2023
 
 
9:00 a.m.-5:00 p.m. CEST, UTC+2 (EMEA)
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INTERMEDIATE
 
Wed, October 25, 2023
 
 

Enhancing Data Science Outcomes With Efficient Workflows

Wed, October 25, 2023
 
 
9:00 a.m.-5:00 p.m. PDT, UTC-7 (NALA)
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ADVANCED
 
Wed, November 1, 2023
 
 

Model Parallelism: Building and Deploying Large Neural Networks

Wed, November 1, 2023
 
 
7:00 a.m.-3:00 p.m. PDT, UTC-7 (NALA)
Register Now
FUNDAMENTALS
 
Thu, November 16, 2023
 
 

Computer Vision for Industrial Inspection

Thu, November 16, 2023
 
 
9:00 a.m.-5:00 p.m. CET, UTC+1 (EMEA)
Register Now
FUNDAMENTALS
 
Tue, December 5, 2023
 
 

Fundamentals of Deep Learning

Tue, December 5, 2023
 
 
9:00 a.m.-5:00 p.m. PST, UTC-8 (NALA)
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ADVANCED
 
Thu, January 18, 2024
 
 

Building Transformer-Based Natural Language Processing Applications

Thu, January 18, 2024
 
 
9:00 a.m.-5:00 p.m. CET, UTC+1 (EMEA)
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ADVANCED
 
Tue, January 23, 2024
 
 

Building Conversational AI Applications

Tue, January 23, 2024
 
 
7:00 a.m.-3:00 p.m. PST, UTC-8 (NALA)
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ADVANCED
 
Wed, January 24, 2024
 
 

Model Parallelism: Building and Deploying Large Neural Networks

Wed, January 24, 2024
 
 
7:00 a.m.-3:00 p.m. PST, UTC-8 (NALA)
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ADVANCED
 
Thu, February 1, 2024
 
 

Model Parallelism: Building and Deploying Large Neural Networks

Thu, February 1, 2024
 
 
9:00 a.m.-5:00 p.m. CET, UTC+1 (EMEA)
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Enterprise Workshops

Click the workshop titles below to learn more.

  • Deep Learning
  • Accelerated Computing
  • Data Science
  • Networking
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ADVANCED
NEW
 

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

8 hours | PyTorch, PyTorch Distributed Data Parallel, NCCL

 Certificate Available

View Course
FUNDAMENTALS
NEW
 

Model Parallelism: Building and Deploying Large Neural Networks

8 hours | PyTorch, Megatron-LM, DeepSpeed, Slurm, Triton Inference Server, NVIDIA Nsight™

 Certificate Available

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FUNDAMENTALS
NEW
 

Computer Vision for Industrial Inspection

8 hours | Python, Pandas, DALI, NVIDIA TAO Toolkit, NVIDIA TensorRT™, and NVIDIA Triton™ Inference Server

 Certificate Available

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FUNDAMENTALS
NEW
 

Fundamentals of Deep Learning

8 hours | TensorFlow 2, Keras, Pandas

 Certificate Available

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FUNDAMENTALS
NEW
 

Building Transformer-Based Natural Language Processing Applications

8 hours | PyTorch, pandas, NVIDIA NeMo ™, NVIDIA Triton ™ Inference Server

 Certificate Available

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FUNDAMENTALS
NEW
 

Building Conversational AI Applications

8 hours | NVIDIA Riva, NVIDIA TAO Toolkit, Kubernetes

 Certificate Available

View Course
FUNDAMENTALS
NEW
 

Building Intelligent Recommender Systems

8 hours | cuDF, CuPy, TensorFlow 2, NVIDIA Triton Inference Server

 Certificate Available

View Course
TELECOM, FINANCE, FEDERAL
 

Applications of AI for Anomaly Detection

8 hours | NVIDIA RAPIDS ™, XGBoost, TensorFlow, Keras, pandas, autoencoders, generative adversarial networks (GANs)

 Certificate Available

View Course
MANUFACTURING
 

Applications of AI for Predictive Maintenance

8 hours | TensorFlow, Keras

 Certificate Available

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CYBERSECURITY
NEW
 

Building AI-Based Cybersecurity Pipelines

8 hours | NVIDIA Morpheus, NVIDIA Triton Inference Server, RAPIDS™, CLX

 Certificate Available

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FUNDAMENTALS
 

Fundamentals of Accelerated Computing with CUDA C/C++

8 hours | C/C++, CUDA

 Certificate Available

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FUNDAMENTALS
POPULAR
 

Fundamentals of Accelerated Computing with CUDA Python

8 hours | CUDA, Python, Numba, NumPy

 Certificate Available

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INTERMEDIATE
NEW
 

Accelerating CUDA C++ Applications with Multiple GPUs

8 hours | CUDA C++, NVIDA Nsight™ Systems

 Certificate Available

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ADVANCED
NEW
 

Scaling CUDA C++ Applications to Multiple Nodes

8 hours | C++, CUDA, MPI, NVSHMEM

 Certificate Available

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FUNDAMENTALS
 

Fundamentals of Accelerated Computing with OpenACC

8 hours | NVIDIA Nsight™, OpenACC

 Certificate Available

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FUNDAMENTALS
NEW
 

Generative AI With Diffusion Models

8 hours | PyTorch, CLIP

 Certificate Available

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FUNDAMENTALS
NEW
 

Enhancing Data Science Outcomes With Efficient Workflows

8 hours | Python, cuDF, Dask, Plotly, NVTabular, cuML, Forest Inference Library, PyTorch, and NVIDIA Triton™ Inference Server

 Certificate Available

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FUNDAMENTALS
NEW
 

Accelerating Data Engineering Pipelines

8 hours | pandas, cuDF, Dask, NVTabular, Plotly

 Certificate Available

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FUNDAMENTALS
 

Fundamentals of Accelerated Data Science

8 hours | RAPIDS, NumPy, XGBoost, DBSCAN, K-Means, SSSP, Python

 Certificate Available

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INFINIBAND PROFESSIONAL
 

InfiniBand Professional Customized Training

3 days onsite or 4 remote sessions

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NETWORKING
 

Networking Professional Customized Training (NVIDIA® Mellanox Onyx®)

5 days onsite or 6 remote sessions

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CUMULUS LINUX
 

NVIDIA Cumulus® Linux Professional Customized Training

4 days onsite or 6 remote sessions

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NETWORKING
 

SONiC Administration Training

3 days onsite or 4 remote sessions

View Course
CUMULUS LINUX
 

Cumulus Linux Boot Camp

3 remote sessions

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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.

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Training by NVIDIA Partners

15th - 16th August, 2023
PUBLIC WORKSHOP

AI Lab

Fundamentals of Deep Learning

8:00 a.m. - 12:00 p.m. CEST

 Certificate Available

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5th October, 2023
PUBLIC WORKSHOP

SCAN Business
 

Building Transformer-Based Natural Language Processing Applications

 
10:00 a.m. - 4:30 p.m. GMT

 Certificate Available

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30th November, 2023
PUBLIC WORKSHOP

SCAN Business
 

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

10:00 a.m. – 4:30 p.m. GMT | Python, Tensorflow

 Certificate Available

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2nd November, 2023
PUBLIC WORKSHOP

OpTeamizer 

Fundamentals of Accelerated Computing with CUDA C/C++

9:00  a.m. to 5:00  p.m. EST

 Certificate Available

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Why Choose NVIDIA for Instructor-Led Workshops?

Learn from NVIDIA DLI-certified instructors

DLI-Certified
Instructors

Learn from DLI-certified instructors who are experts in their fields. Use breakout rooms to collaborate with other students and interact with instructors.

Technical Expertise

Access to Technical Expertise

Learn from a team of technical industry experts who are passionate about developing curriculum around the latest technology trends.

Industry standard software tools

Industry-Standard Tools and Frameworks

Gain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.

Wide range of Applications across Industries

Applications Across Industries

Learn to build deep learning, accelerated computing, and accelerated data science  applications for industries, such as healthcare, robotics, manufacturing, and more.

NVIDIA Deep Learning Institute certificate

Earn
Certificates

Earn an NVIDIA Deep Learning Institute certificate in select courses to demonstrate subject matter competency and support professional career growth.

Gain real-world expertise

Real-World
Examples

Gain real-world expertise through content designed by NVIDIA and industry experts.

GPU-accelerated servers in the cloud

GPU-Accelerated Servers in the Cloud

Access fully configured, GPU-accelerated servers in the cloud to complete hands-on exercises included in the training.

Reduce Time to Production

Reduce Time to
Production

Build production-quality solutions with the same DLI base environment containers used in the courses, available from the NVIDIA NGC™ catalog.

Use our directory to find the right certified instructor to meet your training needs.

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Explore Online, Self-Paced Courses

Whether you’re an individual looking for self-paced, online training or an organization wanting to develop your workforce’s skills, NVIDIA DLI offers a range of options, from individual courses to bulk packages. Courses can be taken anytime, anywhere, with just a computer and an internet connection.

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Enterprise Solutions

Build your team’s skills and confidence in the areas of accelerated computing, graphics, and advanced networking with our comprehensive technical training program. A training needs assessment helps identify skill gaps while learning paths provide the steps needed to develop competency in key areas. Training advisors work with you to create customized training plans and support you every step of the way. Our Enterprise Training program can help you develop the talent you need to fuel innovation and drive growth in this age of AI, high-performance computing (HPC) and the metaverse.

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Transform your workplace into an AI powerhouse

Transform Your Organization into an AI Powerhouse

Despite the pandemic putting in-person training on hold, organizations can still offer instructor-led courses to their workforce to develop key skills in AI, data science, and accelerated computing.

Grow your AI capabilities
DLI instructor-led workshops remotely

Access NVIDIA DLI Instructor-Led Training Remotely

NVIDIA DLI is now offering instructor-led workshops remotely, delivered via a virtual classroom.

DLI remote courses
GPU Hackathons and Bootcamps program

Learn and Accelerate with GPU Mentors by Your Side

The GPU Hackathons and Bootcamps program pairs computational and domain scientists with experienced GPU mentors to teach them the parallel computing skills they need to accelerate their work.

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