Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications

This course is for developers who want to use the Intel(r) Distribution of OpenVINOTM Toolkit to deploy computer vision workloads. This course covers computer vision neural networks models using a variety popular machine learning frameworks. It also includes writing portable applications that can be deployed on a wide range of computing devices.

This course is designed for developers of application software and focuses on practical examples and discussions about the development process. The discussions cover not only how to use the toolkit, but also topics such as how to create benchmarks that compare different compute devices and what to do if you run into problems. This course provides a guideline for how to deploy a computer vision inference deployment using the toolkit. Students will be able to create their own computer vision application with the toolkit by the end of this course.