Courses

This workshop teaches the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®. You’ll learn how to write code, configure code parallelization with CUDA, optimize memory migration between the CPU and GPU accelerator, and implement the workflow that you’ve 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’ll have access to additional resources to create new GPU-accelerated applications on your own.

This NVIDIA Deep Learning Institute (DLI) course is now available in Israel, by an NVIDIA DLI-certified instructor Tomer Gal, CTO at OpTeamizer Ltd, an official NVIDIA Preferred Partner.

This Fundamentals of Accelerated Computing with CUDA C/C++ and Python 2 Days course is now available in Israel, by an NVIDIA DLI-certified instructor Tomer Gal, CTO at OpTeamizer Ltd, an official NVIDIA Preferred Partner.

This course showcases the field of Deep Learning, concepts and algorithms in this branch of Machine Learning, and its implementation using modern neural network systems.

The labs in this course will use Python and Keras.

We will learn about the structure of neural networks, training techniques, CNN architectures, and we will analyze existing architectures and models.

This NVIDIA Deep Learning Institute (DLI) course is now available in Israel, by an NVIDIA DLI-certified instructor Tomer Gal, CTO at OpTeamizer Ltd, an official NVIDIA Preferred Partner.