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IBM: Computer Vision and Image Processing Fundamentals

Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.

Computer Vision and Image Processing Fundamentals
3 weeks
3–4 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

20,273 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 19
Ends Jun 30

About this course

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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.

Awards

Computer Vision Fundamentals with Watson and OpenCV

At a glance

  • Language: English
  • Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
  • Associated skills:Augmented Reality, Face Detection, Artificial Intelligence, Computer Science, OpenCV, Machine Learning, Computer Vision, Python (Programming Language), Image Processing, Contextual Image Classification

What you'll learn

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  • Various computer vision applications across many industries
  • Imaging processing and formation capabilities powered by AI
  • Utilize Python, Watson AI, and OpenCV to process images and interact with image classification models
  • Build, train, and test your own custom image classifiers

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Deep Learning Professional Certificate Program

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Expert instruction
6 skill-building courses
Self-paced
Progress at your own speed
7 months
2 - 4 hours per week

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