About this Course

1,987 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your 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 LearningMachine LearningApplication developmentPython* ProgrammingComputer Vision
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Approx. 5 hours to complete
English

Offered by

Placeholder

Intel

Syllabus - What you will learn from this course

Week
1

Week 1

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
12 videos
Workflow of Intel® Distribution of OpenVINO™ Toolkit Usages7m
Model Optimizer7m
Model Optimizer Troubleshooting6m
Inference Engine: Setting Up6m
Inference Engine: Running Inference6m
Deployment and Intel® Hardware Selection5m
Using Multiple Devices5m
Benchmarking9m
Optimization3m
Implementation Examples: Batch of Images7m
Implementation Examples: Stream of Images7m
1 reading
Welcome10m
2 practice exercises
Course 1 Quiz30m
Course 2 Quiz30m

Frequently Asked Questions

More questions? Visit the Learner Help Center.