The course is extremely slow and low level. Some important information on the slides might be around for less than a second, whereas unimportant information might be repeated several times. There is too many quite similar labs and very few background information. The practice parts and even the final assignment are way too simple.

At least, it seems one is able to learn some basic notion of PyTorch,

Carelessly written and designed; lots of errors in videos (I think it was AI-generated) and the quizzes were a joke. Half the time there were spelling and grammatical errors which caused difficulty with understanding what was being asked. Some choices of answers also were just "incorrect" rather than actual giving an option for an incorrect answer.

Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.

The monotonous tone is surely a ML synthesis?

All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.

Too many complicated theoretical materials and unclear practical instructions. I have lost motivation for this course.

it is too deep

The course is excellent, it really explain the essentials of what is taught. There are no shortcuts, so if you want to expand your knowledge in the area this is a GREAT base. Since there are, really, no shortcuts or over-simplifications, some topics (given the nature of the area) are going to be hard to interiorize, but there are no other ways (IMHO). I really like the short duration and dynamic of the videos, since only goes for the relevant information and you're free to pause and make your research for the terms you don't get. Highly recommendable for those who are confortable with some level of math notation and a minimum of python (or related); if you are at 0, i think it might be a challenge, but a good and well-directed one. I think quizes could be better, but if you are autodidactic it shan't make the difference.

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. for providing such a wonderful learning Journey.

I can say without a doubt that I learnt all I know about PyTorch during this course, it is well-contained. The exercises seemed to be up-to-date with the latest best practices. Good job :)

However, I think it could definitively be shorter and to condense the material into 4-weeks max. That depends on one's preferences though...

The course is nice, very comprehensive and gives you lot of examples in python so you can practice it after. I didn't get a tool to know what are the parameters I should consider when I build a neural network , and what are the trade-offs, but maybe it's to wide to include in

I'm very happy to share with a wonderful experience of learning deep neural network with pytorch. I want to thank the entire team of IBM , which provide me a wonderful opportunity for learning advance skill in deep neural network with pytorch. Thank You !!

Ce cours pour moi est un cours assez complet pour vous données toutes les briques nécessaires pour construire et comprendre n'importe qu'elle architecture de réseaux de neurones en générale et plus particulièrement avec la technologie PyTorch.

The course was quite complete and covered all the needed topics. For every topic there were labs that would explain the content step by step. I wish the tests were more difficult, specially the final project.

A well curated course filled with stuff essentially needed to acquire the knowledge of Deep Neural Networks with PyTorch and encompasses the domain of practical labs as well

The explanation is clear. The sample exercise is easy to follow. An excellent structure that walks the learner from a beginner to gaining advanced knowledge at the end.

It is very comprehensive and goes into detail of every basic thing in Pytorch. I would argue that this is probably one of the best courses provided by IBM.

Excellent course, I have never seen so much quality learning material in short span of time, and somehow IBM managed to make it easy to understand.

I love this course, I0t was a bit challenging but that is the importan thing, The hardest things are the best things to learn from

I cant seem to verify my ID so i can get the certificate, but not the courses fault, The course was nice though

well structured and all the necessary topics been explained so nicely. labs are super helpful to clear things

Really good structured with very clear explanation of the math behind the different topics

Really great course, It was easy to go with, quizzes were easy and great concept building

Very good introduction to PyTorch and deep learning. The lab notebooks are very helpful

Perfect!

A balanced combination of video explanation, labs and graded assignment.

Very good course covering both theoretical and practical aspects of deep NNs.

The course content is presented scientifically and easily to understand