More "Beginner" than "Intermediate"

From the title i expected a course introducing the depthos of PyTorch for (intermediate) Data Scientists. Instead the course is a shallow introduction to feed forward and convolutional neural networks with a little bit of PyTorch. The course targets beginners who want to learn the basics of ANN / CNN models and learn their first deep learning framework. All others should search for another course.

There is some good information and explanations in weeks 5 and 6. Overall the course is very unstructured and most of the big "Whys" are not clarified. In addition some basic rules of teaching should be learned by the instructors and applied to design this course. If you should do it in the labs you MUST talk about it in the videos! People payed for these courses so they MUST NOT be forced to learn contents autoditactically!

This course is an OK introduction to Pytorch and neural networks for beginners, but many better such introductions exist. fast.ai would be my first recommendation. There are numerous spelling errors, some of which seriously affect the correctness of statements.

The quizzes only test trivial knowledge, and don't go into any real depth.

The total content of the course is maybe 4 hours.

Material is good but riddled with grammatical errors and random typos that only make learning more difficult. Also topics are covered at a very minor depth and I often had to look through many additional resources to understand each topic presented.

The material is fine but the presentation is not good.

-Often the lecturer shows not so important slides a few seconds but important slides only 0.5sec.

-So much about follow the code than really explaining what's going on.

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

When doing IBM AI Engineering Course, I will hear content twice here. Explanations could be better. No graded Assignment. Only Quizes with 2-3 question with 2-3 choices.

Very technical and math-oriented. Even after completing it, I have no idea how to apply it to the real world. Seems everything is read using a computer voice.

There are too many typos in the notebooks and quizzes, even wrong indices of materials, including videos and notebooks.

I found the course instruction is confusing, sequential and class module should be in different video parts

Some of the content is not well organized, most of the courses are labs, and they are outdated.

The external tool did not work. I believe there were some maintenance issues. Not good enough.

The course contents are not very interesting, and the quizzes are way too easy.

Not engaging. Had problems opening the notebooks at the beginning of the course

A lot of mistake in the materials.And some labs exercise were unreachable.

Quite a few errors and lacking flow in the explanations.

was very rushed and not informative enough

not indepth enough explaination

Very high level.

this has been the worst course I have ever seen... the guy is not able to explain as it seems the audience of his course are mathematicians... he makes explanations by showing things and saying numbers but without explaining the principles behind it...

Very poor quality course. Information on the slides is a total mess. The theory is badly presented. There are so many spelling errors. The only thing worth looking at is the jupyter notebooks.

Overall good course and labs. But labs are so unstable, that it makes this course useless. Out of 4 weeks labs were not accesible for more than a week. Not recommended

the explanation is not in detail. Course Structure is confusing as well. Sometimes the concepts taught are not entirely correct. Overall not a good experience.

Sorry to say, but I really had some high hopes from this course, but this course is not meant to be a part of any specialization.

Labs not loading into any browser I've tried. No support to solve the issue. Mobile app doesn't support the labs either.