Good & Nice course for Data Engineering

Great to know Google Cloud Platform.

really enjoyed course - good insight

thank you for teaching tensorflow

Please some extra advance concept

expect for practical skills

Good to know intro concept

Thank you Lak Sir

Excellent course

good..

Great!

good.

nice!

Pace is too fast. It seems easy in the beggining, but when you get to the Challenge exercises, you see that you are lacking a lot of basic knowledge. It took me 3 hours to understand how to do a loop, using the low level API! I couldn't understand exactly the challenge of week 2 and post a question in the forum. No mentors answered it.

I didn't like week 3 class. The guy showed the source code and just made a quick comment about it, not explaining what was going on. I had to pause the video to check what was there, but I'd like actual detail explanation on what is going on there.

So, what I think is that this course needs more detailment and more attention to the questions in the forum.

The first 2 courses in this specialization had too little substance. Here the first two weeks are very good. Unfortunately, the final week terrible. It introduces lots of interesting concepts but does not explain them adequately. You will see lots of cryptic code (getting obscure ids, running bash scripts from jupyter) without much explanation. The whole thing feels unfinished. When google is not too busy being subservient to China, it could maybe spare some resources fixing this for paying customers?

I took this course separate from other courses in the series. So my review could be different if I have had all courses. Although the material covered are generally useful, I believe the course content does not help much with learning TF and code using it. Overall, the course flows well. But the third week is radically different from the first two weeks and difficult to follow.

The course lacks detailed description of how to deploy your model on Cloud. The 3rd week of the course is useless. The course creators should've either concentrated on just TensorFlow for Machine Learning or should've provided detailed lectures on deployment of the Model on cloud.

Material was too high level. Talked more about specific examples than going through a broader understanding of the tools. It would have been helpful to start with an example, talk more about the tools themselves in detail, and conclude with a few more examples.

Introduction was quite good

Learnt a lot from that

but after week 1 it was too boring we were taught something else and labs we based on some other complex things. Make sure to improve the quality.

The content is great, and the instructors do a good job. However, I could not connect to qwiklabs, so it would be beneficial if Google would create labs within Coursera's framework.

I learned a lot as it is more interactive. But Several problems with the lab and incompatibility with the instructor labs. I think the videos are older than the labs.

Conceptually, it was a good introduction to tensorflow. Labs were not introductory labs, there was heavy coding, and a few errors in the instructions.

Los laboratorios eran demasiado restrictivos, para poder crear un "bucket" requería de un permiso adicional y la práctica la tuve que abandonar.

The first week is okay. Mostly a waste of time if you want to learn tensorflow however--it's really just a huge ad for Google Cloud Services.

Good intro to TF, but not updated for 2.0. Also felt at times more like a lesson in Cloud Platform and Jupyter.