NVIDIA

Training You To Solve The World’s Most Challenging Problems

About the Training:

Location: Dubai

This program is designed to help you get started with training, optimizing, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics. DLI also teaches you how to optimize your code for performance using NVIDIA CUDA® and OpenACC.

 

Fundamentals of Deep Learning for Computer Vision

Date : 10th September | Price: $800/-

Overview: 

This workshop teaches deep learning techniques for a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU-accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to: building and deploying deep learning applications for image classification and object detection, modifying your neural networks to improve their accuracy and performance, and implementing the workflow you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.

Upon successful completion of the workshop, participants will receive NVIDIA DLI Certification to recognize subject matter competency and support professional career growth.

Download the brochure here.

 

Fundamentals of Accelerated Computing with CUDA C_C++

Date : 11th September | Price: $800/-

Overview:

This workshop teaches the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA. Work your way through dozens of hands-on coding exercises using a live, GPU-enabled development environment in the cloud. Learn how to write code to be executed by a GPU accelerator, configure code parallelization using the CUDA thread hierarchy, manage and optimize memory migration between the CPU and GPU accelerator, leverage command line and visual profilers to guide your work, and utilize concurrent streams for instruction-level parallelism. Finish by implementing the workflow that you have learned on a new task — accelerating a fully functional, but CPU-only, particle simulator for observable massive performance gains. At the end of the workshop, you will have access to additional resources to create new GPU-accelerated applications on your own.

Upon successful completion of the workshop, participants will receive NVIDIA DLI Certification to recognize subject matter competency and support professional career growth.

Download the brochure here.

 

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