Nvidia GPUs

Nvidia GPUs Course

The field of image processing has been fast developing over the recent years. Innovative developments and boundary-pushing products in the areas of image processing combined with artificial intelligence are gaining more and more momentum, becoming pivotal tools in the tech industry.

Clearly, every day brings forth new budgets and ideas aimed at fostering new developments in areas such as autonomous transportation, medical industry, safety, and more.

The integration of these advanced technologies along with the capabilities of artificial intelligence, image processing, computer-based visual analysis, and drawing conclusions accordingly, positions itself at the forefront of international tech industry activity.

Together with new developments that present a new threshold of performance and software integration in our lives to enhance processes, efficiency, and more, there is also an increasing demand for computers to deliver computing power in a substantial manner. This is because innovative developments also demand memory and computational power to execute the algorithms that have emerged in recent years along with these advancements.

The global company Nvidia has identified the substantial demand for various electronics products and is currently stepping into the picture. Nvidia is a leader in the development of various electronics products in the field of image processing, including chipboards, hardware, motherboards, graphics cards, and more. With the help of Nvidia's graphics cards and other products, developers can access available processing power for image processing, boundary detection, image analysis for decision-making, and more. Harnessing the GPU power of Nvidia products is central to every innovative development project in these fields.

In the Edge Detection course, we will practically learn how to work with two tools from Nvidia:

Jetson – A small computer (Developer Kit) equipped with a graphics card, memory, storage, and effectively functions as a compact and regular computer, but it is designed for software development in the field of Edge Detection AI. It works excellently alongside the JetPack SDK, which manages the entire development process in this field. The SDK includes an operating system, code libraries, and more.

Through practical and professional learning and the utilization of these tools, we will be able to develop and integrate into the most advanced projects in the AI + Image Processing field. This will allow us to work at the forefront of the industry and with leading tech companies.

Course Structure:

This course includes lectures and practical exercises.

The course includes:

  • Class exercises accompanied by explanations, homework assignments, and solutions on the course website.
  • Course booklet.
  • Videos and presentations on the course website.
  • The lectures are held once a week in the evening.

Who is the Nvidia GPUs course for?

  • College/university graduates who wish to specialize in the development of Artificial Intelligence/AI systems.
  • Hardware/software/computer science engineers without experience in this field who are interested in professional retraining
  • .
  • Individuals with relevant background and previous experience, including Python development and working with the Linux operating system.

Talk to an Advisor

Alex Shoihat

Head of Machine Learning

Alex holds a bachelor's degree in Information Systems (B.Sc.) and a master's degree in Electrical and Electronics Engineering.

Alex is a Machine Learning Engineer at RT. He specializes in the AI field, with over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.

Alex has experience working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.

Department Head
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