The first assignment was really buggy

Too easy, notebooks gave away answers

More details in explanations please

Great course, but needs more depth.

Forum is not supervised actively.

Nice to do more hands-on tf.

too easy, which is not good!

became too complex and fast

It was really short.

lol it was hard haha

too easy and basic

Basic information

Very basic Intro.

Little bit easy

Week 4 is weak.

can be better

nice Content

Just good

too basic

Too easy

good

Easy

The content was pretty good, although I didn't feel like it added much that I didn't learn through deeplearning.ai's Deep Learning courses taught by Andrew Ng. There were a few interesting details specific to Tensorflow, but overall I felt the course was just information that could be found on Tensorflow's documentation--I did not feel guided through the process (but I realize that's more of a personal opinion).

The reason I am giving only 2 stars is that some of the homework assignments were poorly explained, leaving me confused about how to complete them (especially the very first assignment). Some of them were not updated, and other students had issues with this as well, because they wrote about it in the forum. Some of these issues raised in the forum were never addressed, but have just been sitting in the forum for months and even years. I think this is very unprofessional if you are going to take someone's money for a course. There should be more of an effort to update the assignments, clarify them--or, if you aren't going to offer guidance in the assignments themselves, then you should have someone actually responding to people's questions in the forum on a regular basis.

This is a useful introduction to the TensorFlow libraries and related tools for implementing basic neural networks.

The videos are clear and informative, but do not go into significant depth about what you're doing. They mostly just walk you through the code snippets. I found the material far too easy.

Some of the quiz questions are poorly worded so it's unclear how to answer correctly.

Some of the assignments are not well designed. They walk you through some details with so much hand holding that it doesn't feel like you're doing anything yourself, then neglect to mention tiny details (which are irrelevant to what you're learning) that must be just so for the fragile grader to actually work. The help forums are filled with common pitfalls and solutions, so it's not hard to work around these issues, but this feels like a waste of time. Why hasn't somebody gone back and update the assignments based on all this feedback from the students?

2.5 stars. While the Andrew Ng’s Deep Learning Specialization was a great introduction, this TF Developer Professional Certificate was not on par, and I’m afraid I persisted mainly for the not-very-good reason of getting the certificate...Not a complete waste of time, however, as it does provide extra exposure to tf, though almost exclusively through the keras Sequential api. To pass, you need merely pass the quizzes, and those are really poorly structured. There are no graded coding assignments. There does not seem to be must mentor-activity in the forums, and a number of people have noticed possible coding errors and inconsistencies which remain unresolved.

Added later: I really recommend having a look at Coursera's "Tensorflow 2 for Deep Learning" specialization, which is offered by Kevin Webster at Imperial College. In my opinion, this course has a much, much higher standard.