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Intel, Udacity launch new Edge AI Program for the developer community

Intel and Udacity have announced a new Edge AI for IoT Developers, and students who successfully complete the program will receive certificates

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DQINDIA Online
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Intel

Intel and Udacity have unveiled a new Intel Edge AI for IoT Developers Nanodegree Program to train the developer community in deep learning and computer vision, which will accelerate the development and deployment of artificial intelligence (AI) models at the edge by leveraging the Intel Distribution of OpenVINO toolkit. Students who successfully complete the nanodegree program, estimated to take about three months, will receive a Udacity graduation certificate.

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As industries like manufacturing, retail, healthcare and others increasingly develop computer vision and AI at the edge solutions for accurate and real-time insights, making sure the workforce has relevant skills to address the demands of these industries has become imperative.

“This program is part of Udacity’s commitment to provide training for 1 million developers worldwide,” said Gabe Dalporto, CEO of Udacity. “Our collaboration with Intel will open the doors for students to learn the deployment of cutting-edge AI technologies at the edge and aid those with limited access to educational resources to grow in their fields.”

Students will have the opportunity to complete three real-world projects, each reviewed and approved by Udacity’s reviewer network. Students who successfully complete the nanodegree program will receive a certification from Udacity and have a practitioner-level skill set in delivering AI at the edge.

For those unable to commit to the full nanodegree program, the Intel Edge AI Fundamentals with OpenVINO course includes a free subset of the content from the program. This course does not include projects or technical mentor support, but it offers in-depth knowledge on how to develop AI solutions for the edge.

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

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