Introduction to Computer Vision with Watson and OpenCV

Artificial Intelligence (AI) is transforming our world. Whether you're a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Pyt

( 20 Reviews )

Created by: Yi Leng Yao

Quality Score

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Qualified Instructor

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Course Depth & Coverage

Overall Score : 78 / 100

Course Description

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about 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 on 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.

Time: 14h

Instructor Details

Yi Leng Yao

3.9 Rating
20 Reviews

Yi leng Yao MSc, is Machine Learning Engineer at IBM with a track record of developing enterprise level applications that incorporate the state of the art machine learning models. Yi believes in developing software that combines both theory and application, in order to provide an application to clients that utilizes the newest machine learning models while being customer-centric.

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Reviews

3.9

20 total reviews

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By Ranjan B on 24-Sep-19

This is the first pathetic course experience I have on Course - my assignment has not been reviewed since last 4 days . . .

By Gaurav M on 25-Oct-19

Course was good but not the content. Almost every lab is broken and people have to wait for the course administrator to respond. At the end we ourselves join the things so that it will work so on one hand its nice that we learn as things are broken but for some people its first hand to programming or IBM Watson and the image they are going to carry will not be nice. For the coursera I would strongly comment that this course is full of errors and how they placed this course with the monthly subscription be the big question. For me if it be free there will be some relaxation.

By Kane H on 6-Oct-19

Too many bugs in the course to work through.

By Jay P on 8-Sep-19

Labs are quite poorly written and make it very difficult to learn.

By Ben W on 13-Jul-19

Although the topic was interesting and the application relatively easy, there were too many obstacles to really enjoy the rollout of the classifier in the cloud.

By Wayne Z on 29-Oct-19

great learning opportunity with hands on codes, suggest to improve some of the lab jupyter notebook errors

By Jairo A T O on 13-Sep-19

Bugs on the platform.

By LEE C K on 6-Nov-19

Great Introduction for new learner with some labs experience.

By Christopher A on 15-Nov-19

Nice overview of the possibilities of Waston Computer Vision APIs and intro to OpenCV

By Mike O on 13-Nov-19

Thoroughly enjoyed this course. Learned about OpenCV a bit and added to my small knowledge of Python. The ability to know how to train Watson to do optical recognizition will be invaluable.

By Githugu P on 7-Nov-19