Build and deploy AI models at the edge! Leverage the potential of edge computing using the Intel® Distribution of OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications. Apply to the Intel® Edge AI Fundamentals Course for the chance to participate in a vibrant student community and to earn one of 750 Nanodegree program scholarships to continue your education with the Intel Distribution of OpenVINO toolkit and other computer vision tools.
How it works
This scholarship is open to all applicants interested in learning how to work with computer vision deep learning models at the edge. Applicants 18 years of age or older are invited to apply. We’ll review all applications and select recipients to participate in the Intel® Edge AI Fundamentals Course. This is where your learning begins! Recipients will spend 3.5 months optimizing powerful computer vision deep learning models. The initial fundamentals course is intended for students with some background in AI and computer vision, with experience in either Python or C++ and familiarity with command line basics. Top students from the initial fundamentals course will be selected for one of 750 follow-up scholarships to the brand-new Intel® Edge AI for IoT Developers Nanodegree program.
Intel® Edge AI Fundamentals Course
With a projected 48 billion devices connected to the IoT by 2021, Edge Computing is poised to bring the power of AI to the Internet of Things.
Learn how to use the Intel Distribution of OpenVINO toolkit to deploy computer vision applications at the network edge for the Internet of Things.
Participate in a vibrant student community, commit to dedicating 5-10 hours a week on the course, and work towards earning one of the follow-up Nanodegree scholarships by showing your leadership and dedication to secure and private AI.
APPLICATIONS DUE
December 10, 2019 (12pm Pacific Time)
RECIPIENTS NOTIFIED
December 12, 2019 (9am Pacific Time)
RECIPIENTS BEGIN PROGRAM
December 16, 2019 (9am Pacific Time)
From: Muhammad Umair Sami
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