This course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices.
1,963 already enrolled
Offered By


Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
IntelAbout this Course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 5 hours to complete
English
What you will learn
How to use the Model Optimizer to convert models from popular machine learning frameworks.
How to run benchmarks and do device comparison and validation.
How to use the Inference Engine to deploy to multiple types of devices.
How to use the Inference Engine’s asynchronous inference to handle various deployment situations.
Skills you will gain
- Deep Learning
- Machine Learning
- Application development
- Python* Programming
- Computer Vision
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 5 hours to complete
English
Offered by
Syllabus - What you will learn from this course
5 hours to complete
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
5 hours to complete
12 videos (Total 82 min), 1 reading, 2 quizzes
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
Is financial aid available?
More questions? Visit the Learner Help Center.