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Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Computer Vision is one of the most exciting fields in Machine Learning, computer science and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies.

In this intro-level course, you will learn about computer vision and its various applications across many industries. As part of this course, you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers.

This is a hands-on course and involves several labs and exercises. All the labs will be performed in the Cloud and you will be provided access to a Cloud environment completely free of charge.

At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.

This course does not require any prior Machine Learning or Computer Vision experience, however, some knowledge of Python programming language is necessary.
What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to understand and apply computer vision and image processing fundamentals. Learners will gain an understanding of Python, Watson AI, and OpenCV, and how to use them to process images and interact with image classification models. They will also learn how to build, train, and test custom image classifiers, as well as how to create a computer vision web app and deploy it to the Cloud. Upon successful completion of the course, learners will earn a skill badge, a verifiable and digital credential that profiles the knowledge and skills they have acquired.

How does this course contribute to professional growth?
This course provides an excellent opportunity for professional growth in the field of computer vision and image processing. Through the use of Python, Watson AI, and OpenCV, participants will gain the skills necessary to process images and interact with image classification models. Additionally, participants will be able to build, train, and test their own custom image classifiers and create a computer vision web app and deploy it to the Cloud. Upon successful completion of the course, participants will earn a skill badge, which is a verifiable and digital credential that profiles the knowledge and skills they have acquired. This course is an invaluable resource for anyone looking to expand their knowledge and skills in the field of computer vision and image processing.

Is this course suitable for preparing further education?
This course appears to be suitable for preparing further education in the field of computer vision and image processing. It covers topics such as Python, Watson AI, OpenCV, and image classification models, and provides the opportunity to earn a skill badge upon successful completion. Additionally, no prior Machine Learning or Computer Vision experience is necessary, although some knowledge of Python programming language is required.