I set up a 1 star because, in my opinion, it is the worst course that I ever attended:

I already had several major technical issues during week 1 week 3 interval, like:

1. IBM Lab environment doesn't work;

2. Links to images don't work;

3. I can not create an IBM Cloud account because of the error that occurs every time for no reason;

4. The worst thing is that the support team doesn't respond to the discussion forum;

Tha Cognitive Class site is quite unstable and it makes this course a very frustrating one, instead of being challenging and interesting.

There are duplicated items, like reading references and course topics.

The labs have lots of mistakes and one has to waste time browsing through the discussion forums to see if any participant has solved the issues, which its regularly the case.

As with several other courses in this track, the Jupyter notebooks in the labs NEED to be updated to include correct code. Learners shouldn't have to hunt through the discussion forums to find code to replace inaccurate code in the lab notebooks, considering how painless it would be to for Coursera or its surrogates to simply update the labs.

Waste of time and energy.

Please don't enroll for this course.

The Visual Recognition on IBM is not free. There is no Lite plan ,

No proper instructions. Very disappointing and unprofessional

Didn't expect this from the standards of IBM

Interesting topic but errors in the labs and in the final project so definitely needs some fine tuning to offer a better student's experience

Very poorly delivered. One of the worst experience and support from Coursera. Felty like wastage of money.

Lab instructions were not clear and the final project is a disaster.

Well Explained about each and every tools and how to train and test the models and deploy into the cloud services I had very good expreience in collabrating into IBM

Great introduction to Visual Recognition and Computer Vision! Lots of examples are provided for me to grasp the concepts behind complicated applications!

Really structured and engaging. I'll recommend this course for beginners in computer vision. You should be interested in learning Python aswell

The course is well designed. The only issue I have witnessed was during running LAB in Jupyter Notebook, I hope it will be fixed soon.

very informative course which truly helped me learn .The labs service however is very bad but teaching staff is always there to help

Very interesting course with very good hands on practice using the labs. Helps to learn very useful, practical skills.

The course was great, but there were several technical issues as there have been with the entire IBM AI certification.

This course is very beneficial for me. This course's tools are very good. I like this learning system. Thank you.

This course was a lot of fun and I really enjoyed it!! I'm excited to pursue a new career in this exciting field.

Deep thank you to instructor JSacchit Chadha and Yi Leng Yao, it was wonderful learning experience with handson.

Its perfect course to start learning about computer vision and how to make it more easy with using Watson !

Gives great learning experience from start to end. I love the use of IBM watson. Highly recommend.

Very good course. in general in most of the courses the duration for the labs are understimated

It is a concept building and very clear course with pracitical. Thanks, Coursera and IBM Team.

helped me a lot to understand open cv and image classification and many more from this course

I learned a lot and enjoyed this course very much. It is just right for a beginner like me.

Good Content but very hard to submit assignments as the web page is getting lots of errors

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