Amid rapid growth in AI deployments across a variety of industry sectors, Intel has decided to address the skills shortage in AI-savvy developers by partnering with online technology learning platform Udacity to offer a course in edge AI for developers.
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,” said Jonathan Ballon, Intel vice president and general manager, Internet of Things Group. “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.”
While the global edge computing market is forecast to reach $1.12 trillion by 2023 (according to IDC), the workforce is not equipped to address industry demands. Computer vision is vital in industries such as manufacturing, where it is used for assembly line inspection, and healthcare, where it can be used to examine X-rays, CAT scans and other medical images. This technology will also be widely used in security cameras, drones, self-driving vehicles and smartphones.
The course, entitled “Intel Edge AI for IoT Developers Nanodegree,” is a three-month program designed to train the developer community in deep learning and computer vision for endpoint devices. It uses Intel’s OpenVINO toolkit, which allows developers to deploy pre-trained AI models through an optimized set of inference engines.
Amongst the first to take the new course will be scholarship students who previously completed Intel’s Edge AI Fundamentals course, including 25 students from the Portland, Oregon chapter of Women Who Code.
Originally Publish at: https://www.eetimes.com/