Chip maker Intel and Udacity, have announced the new Intel Edge artificial intelligence (AI) for IoT Developers Nanodegree Programme to train the developer community in deep learning and computer vision.
According to the two company, the initiative will accelerate the development and deployment of AI models at the edge by leveraging the Intel Distribution of OpenVINO toolkit. Students who successfully complete the nanodegree programme, estimated to take about three months, will receive a Udacity graduation certificate.
Jonathan Ballon, Intel vice president and general manager, Internet of Things Group, said historically, students have learned how to build and deploy deep learning models for the cloud. With Udacity, added Ballon, Intel is training AI developers to go where the data is generated in the physical world: the edge. “Optimising direct deployment of models on edge devices requires knowledge of unique constraints like power, network bandwidth and latency, varying compute architectures and more,” he said. “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.”
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.
While the global edge computing market is forecast to reach $1.12 trn by 2023, expanding at a compound annual growth rate of 32.6%, the workforce is not equipped to address industry demands.
Gabe Dalporto, CEO of Udacity, explained that the programme is part of Udacity’s commitment to provide training for one million developers worldwide. “Our collaboration with Intel will open the doors for students to learn deployment of cutting-edge AI technologies at the edge and aid those with limited access to educational resources to grow in their fields.” he said.
