Intel and Udacity have launched the Intel Edge AI for IoT Developers Nanodegree Program to train the developer community in deep learning and computer vision.
This is expected to 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 and have a practitioner-level skill set in delivering AI at the edge.
While the global edge computing market is forecast to reach $1.12 trillion by 2023, expanding at a compound annual growth rate of 32.6%, the workforce is not equipped to address industry demands.
“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 deployment of cutting-edge AI technologies at the edge and aid those with limited access to educational resources to grow in their fields.”
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.
The nanodegree program will introduce students to the Intel 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, the OpenVINO toolkit promises to enable graduates to maximise application performance across a range of heterogeneous Intel architectures to deliver fast, efficient deep learning workloads.