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Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications 

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Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
 at 
Coursera 
Overview

Duration

3 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty

Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
 at 
Coursera 
Highlights

  • 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.
  • Beginner Level No prior knowledge of computer vision is necessary, although previous experience is helpful.
  • Approx. 3 hours to complete
  • English Subtitles: French, Portuguese (European), Russian, English, Spanish
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Details Icon

Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
 at 
Coursera 
Course details

More about this course
  • Welcome to the Introduction to Intel® Distribution of OpenVINO? toolkit for Computer Vision Applications course!
  • This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit.
  • With the skills you acquire from this course, you will be able to describe the value of tools and utilities provided in the Intel Distribution of OpenVINO toolkit, such as the model downloader, model optimizer and inference engine.
  • Who this class is for:
  • This course is intended for learners with no prior experience with computer vision, although previous knowledge is helpful. This course is ideal for anyone interested in learning more about core concepts of computer vision applications and the Intel Distribution of OpenVINO toolkit.
  • Estimated Workload:
  • You should expect to allocate about 3 hours to complete this course.
  • Learner pre-requisites:
  • No prior knowledge of computer vision is necessary, although previous experience is helpful.
Read more

Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
 at 
Coursera 
Curriculum

Introduction to Intel® Distribution of OpenVINO? toolkit for Computer Vision Applications

Intel® Distribution of OpenVINO? Toolkit: Part 1

What's included in the Intel® Distribution of OpenVINO? Toolkit?

Inference Flow

Model Optimizer Concept

Model Downloader

Inference Engine Concept

Intel® Distribution of OpenVINO? Toolkit and Development Kits

First Two Demos

Intel® Distribution of OpenVINO? Toolkit: Part 2

Welcome

Discussion Prompt Overview

Hands-On Project

Conclusion

Intel® Distribution of OpenVINO? Toolkit: Part 1

What's included in the Intel® Distribution of OpenVINO? Toolkit?

Inference Flow

Model Optimizer Concept

Model Downloader

Inference Engine Concept

Intel® Distribution of OpenVINO? Toolkit and Development Kits

First Two Demos

Intel® Distribution of OpenVINO? Toolkit: Part 2

Faculty Icon

Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
 at 
Coursera 
Faculty details

Vu Q Nguyen
University : Intel

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Introduction to Intel® Distribution of OpenVINOÂ? toolkit for Computer Vision Applications
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