The topics selected for the course are good, but the implementation is far from perfect. The quizzes seem to be generated by some machine learning algorithm. Expected better from IBM.

The course is quite complete, but it contains to many things already contained in the previous courses within the Specialization. The final honor part could have been much better.

The later labs had little or no practice exercises. The typos/mistakes in the materials were a distraction. It was disappointing to not have a fine tuning lab in the last week.

There were a few errors in the lessons (grammatical usually, occasionally more severe). All in all, I would recommend this course to others.

Ok to show you how to use pytorch, but to learn ML you should really take the famous course everyone is talking about, it's much better.

quality of slides is quite bad and exercises are just a repetition of the class. Nevertheless the basic concepts are explained clearly

good material but you should polish the voiceover and check for spelling/formatting mistakes - of which there are many

I got trouble with some exercises, also there are some grammar errors and the explanation in some videos are not good

Very slow and redundant material with previous courses of the "IBM AI Engineering Certificat Professionnel"

More useful exmples in labs would be helpful to understand the possibilities with the method and tool

quality of videos at the beginning of course are low, fells like the machine is reading it

To focus in the coding but not the underlying structure of the library and how to use it.

There should be slides available for downoad.

The pace of the course was too fast.

The start is good, but in the last 2 week, many things are not clearly explained

Very Basic course. Would have enjoyed more interesting examples in the notebooks

Found it very difficult to follow some of the content and assignments

There are a lot of mistakes in the slides and video but no updates

OK for beginners, superficial exercises and quizzes.

The course is too heavy to have just one project.

A number of mistakes were found in the course.

Was really good and could make a base for ML.

It is basically learning by copying code

Too theoritical

Good course

This