I was really only interested in data engineering. This course is pre-requirement for the Data engineering spec and i had to go through a lot of ML content.

Most of the materials of this course can be freely found con Google Codelabs. If it was 50% off maybe it could be worth a shot but not at the 55$ pricetag.

too easy but takes too long, poorly designed. You just copy and paste in code provided by google. There are places where if you mis-click you are doomed.

The Labs were 75% repetitive setup and comparatively little information. Also, there was very little on the 'why' of certain choices.

Labs were not useful to get the feel of the platform, overall very poor coverage of such an interesting topic.

It is very basic and don't have details. New person will find it difficult to understand what is going on

the labs are not so good ,

i didn't practice anything manualy at all , it was all a copy passt work.

Could not complete training on Vertex AI (The allocated time is not enough for training requirement)

Labs were not so great, long provisioning time and high amount of tedious setup repetition

A very basic hands-off course just introducing to some GCP products.

There is no practice in deep of GCP tools, tasks are really guided.

This is just and introduction to google products and that's it.

Meh, more like a sales pitch rather than actual course content

Mostly useless blahblah with only few pieces of information

Sells too much Google and do not explain important things.

Not a great course for learning. Didnt focus on concepts

Materials are somewhat dated and not detailed enough.

you should let the students program.

Quality is bad. Please enhance.

Really basic (foundamentals)

Not much content

Overall the course from Coursera is actually not bad. But then I got blocked by qwiklab for 1 month without any transparent notification of what was happening! I received error 500 whenever i wanted to access the lab, so i couldn't finish any of the GCP courses. Such a bad learning experience, wasted so much time trying to 'fix' it by following all the things they told me like clearing cache, changin browser, unenrolling from course (?), etc. At the end, once I confronted via email that they must have blocked me, then they admitted it and unblocked me. They told me they blocked me because I was using other resources that wasn't instructed in the lab. Why didn't they tell me sooner when I emailed the first few times? Why did I have to waste 1 month just to fix this? Qwiklab is so disappointing!

This course requires previous knowledge in SQL that a beginner does not have, so copying and pasting SQL queries without knowing how to write them yourself is NOT helpful. Laboratories are extensive and the desired result is not well understood. Each laboratory could be divided into 3 in order to better explain them and achieve the desired pedagogical objective. It is not about getting a certificate. It is about the importance of learning how to solve specific DB and ML problems by yourself and efficiently.

I enrolled in this course more than a month ago but I am not able to complete it because of some error it is stuck on a video lecture and when ever I try to open the video lecture or continue the course . an error appears on the screen which says - sorry, we are down for maintenance , we will be back shortly . It is showing the same error since 2 weeks I have tried all possible ways to solve the problem . it is still not working .

I feel ripped off. i completed the seven day testing period and finished the course in 6 days. After that I was notified that I completed the course and was congratulated. Now I have seen that with 41 euros have been deducted. With other providers e.g. with udemy the subscribtion was also terminated after successful completion. It is quite a feel bad experience and I will no longer use Coursera but rather choose other providers.