good

Just from the lessons the quizes questions were hardly solvable. Of course with the review video, where the answers were publicated, reaching the 100% was challangless.

The Labs were correct, but there were some bugst and errors, when the labs steps say something but with these steps the environment throw errors. Again there were videos where the presenter shows the steps, which were more or less the same as the labs steps, but with these plus steps the environment worked without errors.

In the labs steps there were fill out type questions, but I wasn't able to fill them out. It would be great if these questions will be implemented into the quizes.

had to contact customer service for qwiklabs twice due to it bugging out & becoming unusable.

Also if you go outside of the "Script" & miss one step in the instructions for an exercise, it becomes really hard to figure out what it was that you did wrong.

Lastly this is definately not a "compressed course". It could be completed it one week if you literally dedicated a whole week of time to it but for those of us who are doing this part time & actually want to absorb the content, expect to plan for 2-3 weeks

Good overview of all the services, but I could have read it just from the service list, and all the labs can be done without watching this course. There is no barely any information about machine learning, except for a small Tensorflow playground overview and copy pasting Python to Datalab. But this negative comment is only because I was expecting it to be a bit more comprehensive, for someone who has no previous information about any of the subjects, this can be a good introduction.

This course was all over the place. I signed up to do the GCP Data Engineering course, and this was a HIGH level intro. that also jumped randomly into ML without giving a whole lot of insight into the actual. GCP env. They skimmed over 90% of what an actual project would consist of-- data cleansing, ETL, data insight, etc. There didn't seem like there was a cohesive plan on what they were covering.

comparing to other Coursera courses this one lagged behind. Unpolished videos, too much time spent on the promotional aspects of GCP, and the examples given were more of a demonstration in a style of follow me. Adding to it my expectations that Google should outperform, I was quite disappointed. However, the content was important for me and I don't regret taking the course.

While majority of what you do is available free on Google Cloud developers page this course does not offer much more. You are probably paying for the certificate you get upon completion . Also the quizzes are not real as there is a follow up video to answer them all again. I wish it was much more challenging

Steps missing in the labs. The documentation cannot be downloaded from just one click. The instructions in the lab miss some steps. It would help to have a diagram with the steps, incomes outcomes and things to consider to avoid errors.

The course wasn't challenging at all. The videos/tests/activities did no required any effort to complete, no study required, only copy and paste. It actually looked more like a technical/sales long presentation of Google platform.

The contents covered are good. However, the labs had many issues. I spent more time debugging and talking to tech support than I spent doing the lab exercises.

Overall, I feel not the best utilization of my time.

The instructor is not clear. I tried to understand some definition with reading transcript, still cannot understand what he is talking about. The courses are not organized well. Some course titles are not good.

I expected the course to cover more ground on the Google Cloud Platform, especially given the price tag. You get to dip your toes in different tools Google offers, and some examples can be a little out of date.

As an IT project manager, I was hoping to spend valuable time on Google big data and cloud computing fundamentals to aid me in my work as a project manager.

I didn't like to do hand on labs!

I enjoyed the lectures from Carolyn Ujcic the best. Out of all the instructors, she was the only one who made me feel like I was learning something from these crypto-marketing videos.

for video, tall too much but not efficent enough; for the lab, i cannot understand why it has so many repeat steps, why cannot just put those similiar lab into one.

The basic fundamentals in this module#1 is ok, but gets very arcane as it progresses. Need before and after screen shots for every lab step, lacking details.

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

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.