Very good course. The last part of publishing the classifier to the cloud could not work for me. But it was optional for the grading, so was not an issue. I’d have liked it to work though.

This course really opens up your horizons to the world of computer vision. So I’d highly recommend it to you even if you’re not doing the IBM certification as it introduces to a very interesting open source library called OpenCV.

Some (marketing style) material regarding IBM is expected. But I felt it was a bit of an overkill (especially In the first week). Fortunately all down to studying thereafter!

Good Day

I am sincerely grateful and thankful to Coursera for affording me this learning Opportunity in this Covid 19 Lockdown situation .

If I can leverage my learning and apply it in the work situation , I shall consider myself successful .

Thanks and Warm Regards.

ABHIJIT SENGUPTA

Portfolio URL : https://about.me/abhijitsengupta

Website : www.pactolianconsulting.com

E - Mail : abhijit@pactolianconsulting.com

Kolkata , India

Skype : abhijit.sengupta357

Ph. : + 91 33 25907110

Cell : + 91 9163863607

Whatsapp : + 91 8017648297

+ 91 6290750012

I never thought I would learn how to build chatbots, classify images, and learning python applicable to AI. This course broke the concepts down and made it so interactive that I could not step away from my computer. I look forward to really applying these acquired skills in real-life scenarios.

The course was very innovative and was awesome. There are many problems faced by me during the Final project of course. Though I got help in discussions forum it too many corrections and reloadings. So please try to avoid those for future learners

Great learning experience with IBM Watson Computer Vision! Highly recommended for beginners and serious AI developers and architects looking to make a mark in the space and extend their research further.

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.

This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.

While the course content provides a solid introduction, learners who have prior experience or a strong foundation might find some gaps in the advanced topics. I would have preferred a more challenging final project and a more rigorous system to filter out fraudulent submissions. Peer evaluation, while valuable, may not always be sufficient in identifying and addressing dishonest work.

Some of the concepts are not covered enough. The platform was not working properly and it was not possible to finish the final project.

There are too many errors in the capstone section of this course that need to be fixed.

It was an amazing course, however i did face some problems with following the labs.

The lectures are very well made. They explain things clearly and contain good information. The projects need work. They need to be made to demand more interactivity from the students. The final project is absolutely horrible. Terrible design. Shame on who made it. I have peer reviewed 7 peoples projects and it is clear they have no idea what to do and I don't blame them. It needs to be completely redone. My suggestion is to do it like a kaggle competition. Give the students a dataset with images and labels and challenge them to develop a CV model to classify the images. Then give them an unlabeled dataset of images and ask them to submit the predictions for all of the unlabeled images in the dataset. Then find the error of their submissions. This could even be automated.

The content was overall ok, but the final assessment is constructed very badly where code is of very little importance and we are mostly tasked to find images on the net.

the automatic reading of the course is very monotonic and the learner looses interest at each module after the 1st minute

There are too many labs, and the final project requires CV studio, which is not working at all

I had high expectations because the previous course was excellent, but I was completely let down. If the assignments could be completed entirely on a local Jupyter Notebook without relying on IBM Cloud, the course might not have been so bad. IBM Cloud is a disaster. Additionally, they should have focused on either OpenCV or Pillow, not both. IBM's problem is that they try to cram in too much.

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.

The course is very interesting, they talk in detail about how convolution helps find features in the pictures, you can either choose between using Keras or PyTorch in the final project, which is fantastic, I went the Torch way, because it gives you more control on the final output and shows you the model from the inside. I am planning on doing the Keras route. Only problem I had was with the IBM cloud, since it is a free service, sometimes it is not as responsive as one would wish. The teachers are great, they explain with great detail everything, it is not easy to set up such a complicated subject, for people who might not have the math background to understand what a tensor is and we can use it in computer vision. I am using the resources and method for a personal project that has to do with Art, how can computer vision understand the differences between two artists. This is not just reading, but interpreting, let's see how far I can go. wish me luck!

Everything depends on AI & ML now. Before enrolling in Coursera’s IBM AI Engineering Professional Certificate Course, I had zero knowledge about AI & DL. After completing the course, I am able to use these applications properly. It proved to be a total career game-changer.

Coursera has proven to be a wonderful experience. I have taken classes from other organizations, but there’s no comparison to Coursera.

Highly relevant examples were given which made me get a clear idea of the concepts explained. Deeply appreciate Coursera & IBM for designing this course very well.

Kudos to Instructors Dr Joseph Santarcangelo, Ph.D. & Ms. Aije Egwaikhide for providing such a wonderful learning Journey.

This track has been the most enjoyable for me so far, and in my personal opinion, it deserves ten stars ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐. This track has been inspiring for me with ideas that I hope to bring to life in the future. The challenging aspect was the site outage, or more precisely, the server issues related to the education site, which affected the execution of the track’s project. Nevertheless, I am grateful for what the leading company, IBM, provides in terms of its valuable contribution to education.