To apply for Intel Edge AI Scholarship program, students must have a basic knowledge of computer vision and artificial intelligence model creation

Udacity, the Silicon Valley based lifelong learning platform, announced its newest initiative to expand students’ artificial intelligence skills: the Intel Edge AI Scholarship Program.

This new scholarship program, announced at the Intel AI Summit and the Future of Education and Workforce Summit in San Francisco, will empower professional developers interested in advanced learning, specifically deep learning and computer vision, to accelerate the development and deployment of high-performance computer vision and deep learning solutions.

Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management to hospital urgent care medical imaging equipment like X-ray and CAT scans. This program will teach fluency in some of the most cutting-edge technologies.

Upon successful completion of the first phase of the program, students will also have the opportunity to earn their way to a full scholarship to the Intel Edge AI for IoT Developers Nanodegree program, a brand-new Udacity Nanodegree program built in partnership with Intel.

The scholarship program is divided into two phases. In the first phase, students will get exclusive access to the first course of the brand-new Intel Edge AI for IoT Developers Nanodegree program, the Intel Edge AI Fundamentals Course. As part of the program, scholars will learn to accelerate the development and deployment of high-performance computer vision and deep learning solutions, using its wide range of silicon and the Intel Distribution of OpenVINO toolkit. As scholars work through the first course, they’ll benefit from a Udacity-supported student community where they can collaborate and support their peers, get feedback on their work, participate in exclusive webinars and more.

Intel’s support and investment will make a limited number of seats available for the first phase of the scholarship. Upon successfully completing phase one, 750 students will then go on to qualify for the full Intel Edge AI for IoT Developers Nanodegree program.

“At Udacity, we strive to empower professionals with the most cutting-edge and in-demand skills in the field,” said Udacity CEO, Gabriel Dalporto. “That’s why we teamed up with Intel to build the Intel® Edge AI for IoT Developers Nanodegree program — the first program of its kind.”

“Historically, students have learned how to build and deploy deep learning models for the cloud,” said Jonathan Ballon Intel vice president and general manager, Internet of Things Group. “With Udacity, we are training the next generation of AI developers to go where the data is generated in the physical world: at the Edge. Optimizing direct deployment of models on edge devices requires knowledge of unique constraints like power, network bandwidth and latency, varying computer architectures and more. The skills this class delivers will allow students to implement learnings on real-world applications across a variety of fields.”

Given the toolkit requisites, to apply for Intel Edge AI Scholarship program, students must have a basic knowledge of computer vision and AI model creation, along with basic Python or C++ experience. To learn more and apply to this scholarship program, visit the official Scholarship Page.

This Scholarship program incorporates a brand-new Nanodegree program, the Intel Edge AI for IoT Developers Nanodegree program. The Nanodegree program will introduce students to the OpenVINO toolkit, which allows developers to deploy pre-trained deep learning models through a high-level C++ or Python inference engine API integrated with application logic. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel hardware (including accelerators) and maximizes performance.

As such, the graduates of the Intel Edge AI for IoT Developers Nanodegree program will understand how to accelerate the development and deployment of high-performance computer vision and deep learning solutions using its wide range of silicon and the Intel Distribution of OpenVINO toolkit.

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