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.
Foundational knowledge of Intel® Distribution of OpenVINO™ toolkit
Foundational knowledge of deep learning for computer vision applications
The phases of the inference flow
Intel® hardware acceleration and optimization techniques
Syllabus
Syllabus - What you will learn from this course
Week 1
Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
A must learn course if you want to see your Deep-learning model deployment on real edge hardwares.
The course is very clear that it is introduction to openvino i.e teaches float topics of openvino usage
The course is amazing as well as the OpenVINO Toolkit. Thank you @intel for this amazing tool. Kudos :)
Get an Overall Idea about OpenVINO Tool kit and Idea about the wide range of areas where we can use it or made our own applications
