no challenging!

Average course

Intermediate

Too basic

not bad

Good

good

I did not have a good experience with this course and wanted to provide this feedback to the team. From an educational standpoint, I could see the intention to create meaningful projects and provide hands-on experience. The videos are easy to watch and the instructors seem genuinely happy to record them. From a delivery standpoint however, that is not done very well. I had difficulty operating the labs, mainly with Cloud Shell being stuck at provisioning step indefinitely. When that is the first part of the lab, it stops you right on your tracks immediately. Even in the one case where it worked however, I could not understand the reasoning behind a timed lab. Isn't this supposed to be an opportunity to explore all the impressive capabilities of GCP? Having a timer, just forces you to go through the steps, copy-pasting the SQL queries and answering the questions, in which case I would've been happy to watch a screencast instead. With the setup processing being a hit-or-miss, wouldn't a single temporary account be better, so that the students would only have to set up the environment once? If anything, that would be a tremendous learning experience, to go through the steps of setting up everything carefully, just like setting up a local development environment. There is a lot of room for improvement in this course, especially being the first one in the specialization.

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.

Personally for me this is a very badly structured and shallow material that I have big trouble concentrating on. I prefer material in big contiguous chunks. Small videos, parrot-style codelabs with no challenge and scattered cross-linked documentation is the opposite of what works. Sadly there's no book or compilation that covers ML spec curriculum in-depth.

Better than others, but still too far away from the difficulty of the real certification test. Only 2 or 3 questions, out of 50 are similar to the whole group of 6 courses, all other questions are completely peerless with the content of these courses... I don't know why it has to be that far, in my opinion it doesn't make sense.

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

Course video material are okay, but the labs need to be updated with step by step instructions for the students. Labs are interesting, but proved to be rather frustrating. Above all, responses to lab were at their best generic. The poor students. Very challenging and frustrating - the labs.

Please this course should be reviewed, the instructors are very fast and it is very difficult to absorb the content, especially for non-natives. I have been struggling for weeks and I have completed many other google courses, this one is just frustrating my efforts.

The videos and the additional material referenced are interesting, but there are too many videos to finally get to the excercises. I couldn't find the pace to mantain the interest in the course. It's a shame because It is a really interesting subject.

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.

I signed up for the hands on labs. most of the labs had issues such as no resources to launch the labs, lab instructions out of sync with the latest GCP UI, confusing instructions. Qwiklabs used to have better quality control.

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.