DEEP LEARNING AND
ACCELERATED COMPUTING
HANDS-ON TRAINING

Get started with self-paced and instructor-led training at GTC Europe.

TRAINING AT GTC EUROPE

Get the hands-on experience you need to transform the future of artificial intelligence and high-performance computing with the NVIDIA Deep Learning Institute (DLI). Learn how to apply deep learning to solve the world’s most challenging problems in digital content creation, healthcare, and more.

Register now for GTC EUROPE 2018 to earn certification in full-day workshops, join instructor-led sessions, and start self-paced training.

DLI WORKSHOPS

NVIDIA DLI will offer five full-day workshops on Tuesday, October 9. These instructor-led workshops will teach you how to apply deep learning or accelerated computing to an end-to-end project.

Through built-in assessments, attendees can earn a certificate of competency for Fundamentals of Deep Learning for Computer Vision, Fundamentals of Accelerated Computing with CUDA C/C++ and  Fundamentals of Deep Learning for Natural Language Processing.

 A special pass will be required for attendance.

Prerequisites: Basic technical background

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities. In this workshop, you’ll learn how to implement common deep learning workflows and deploy neural networks to start solving real-world problems.

Prerequisites: Basic C/C++ competency

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. In this workshop, you’ll learn how to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.

THIS WORKSHOP IS NOW SOLD OUT

Please consider selecting another workshop. Alternatively, if you would like to request this workshop for your company, please contact us.

THIS WORKSHOP IS NOW SOLD OUT

Please consider selecting another workshop. Alternatively, if you would like to request this workshop for your company, please contact us.

THIS WORKSHOP IS NOW SOLD OUT

Please consider selecting another workshop. Alternatively, if you would like to request this workshop for your company, please contact us.

2018 INSTRUCTORS

NVIDIA
Solution Architect

 

NVIDIA
Solution Architect

 

OPTIMIZING MIND
Founder and Chief Science Officer

 

NVIDIA
Automotive Solution Engineer

 

NVIDIA
Software DevTech Engineer

 

NVIDIA
Solution Architect

 

NVIDIA
Solution Architect

NVIDIA
Solution Architect

 

NVIDIA
Solution Architect

NVIDIA
Senior Solution Architect

NVIDIA
Solution Architect

 

NVIDIA
Solution Architect

 

SELF-PACED TRAINING

Take advantage of a unique opportunity to get hands-on training in deep learning and accelerated computing by visiting our self-paced training area. There’s no need to schedule, just visit the self-paced training area to get started. Laptops will be provided and each mini course takes less than two hours to complete.

Can't visit GTC Europe 2018? Take self-paced training from wherever you are. Visit www.nvidia.co.uk/dli to get started.

Here are a few popular self-paced mini courses:

Learn how to train a deep neural network to recognize handwritten digits.

Learn how to create datasets using electronic health records and model time-series data using RNNs.

Learn how to accelerate your C/C++ application using CUDA to harness the power of GPUs.

NVIDIA Deep Learning Institute

WANT MORE TRAINING?

The NVIDIA Deep Learning Institute (DLI) offers hands-on training in artificial intelligence (AI) to solve real-world problems. Get started at your convenience with self-paced online courses, which cover fundamentals of deep learning and applied deep learning in industries such as digital content creation, healthcare, intelligent video analytics, and more. Plus, DLI gives you access to a fully configured, GPU-accelerated systems in the cloud, complete with development tools, optimized deep learning frameworks, and example code and datasets. All you need is a web browser to get started in minutes.