Edge Computing is the future for IoT developers. The global Edge Computing market is forecasted to touch USD 1.12 trillion by 2023. Edge Computing is basically a concept of storing data and computing it directly at the location where it is needed. There is a real need for developers worldwide in the new market. Intel and Udacity plan to train 1 million developers through this nano degree program.
Jonathan Ballon, Intel’s VP and GM for IoT Group said, “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.”
Industries like manufacturing, retail, healthcare and others are investing in computer vision and AI at the edge solutions to gain accurate and real-time insights. While there is a demand for the developers working on edge computing solutions, there is a talent gap.
Udacity plans to bridge this gap with the Intel Edge AI for IoT Developers Nanodegree Program. Students will get an opportunity to complete three real-world projects, each reviewed and approved by Udacity. The platform will also reward the students with a nano-certification, which increases the job prospects for students.
The curriculum of the program includes in-depth knowledge of the Intel OpenVINON toolkit. Developers can use the toolkit to deploy pre-trained deep learning models through high-level C++ or Python inference engine API integrated with the application logic.