The content was in-depth enough to understand enough about GCP. There was some previous knowledge needed about Python and Bash which would be difficult for some beginners. The structure of the content was fairly well organised, although some concepts were repeated. Doug did an excellent job of explaining the concepts although his tone is very dry.

There was useful information but I found it a bit overwhelming esp in the labs as I am new to this area and required more time and details on where to find items, there were so many acronyms/abbreviations I had to look up to be able to follow along with the discussion. It is incredible how much is going on in the cloud.

Learned quite a bit. I love the opportunity to solidify new knowledge with labs and quizzes. Some of the labs were not working initially but resolved in the end. This course felt very generalized for the knowledge we should be learning but it is a lot to figure out, so perhaps future courses will elaborate.

Applied for the "Architecting with Google Cloud Platform Specialization," only got financial aid for this course. This course is basically a brochure of what the cloud can do, finished this in a day. If you're brand new to the cloud, it's fine but this course doesn't offer much after that.

The course was pretty good and it had many new things to learn. Just the issue was with few labs and there explanation. The written explanation and video explanation of the lab was not similar.

Other than that everything was perfect. Thank You Coursera for thus wonderful course.

Information is a decent overview but they quickly blow past a lot of information. Labs are generally unhelpful and often take longer to simply set up than actually complete. Not worth $50 but there's no other training courses for GCP out there so this one it is.

I think is a good way to start but could have had better explanations, I mean more understandable for people just getting started, some of the content was talked just in a robotic way, like the presentator was just reading in without really knowing about it.

Em alguns labs tive dificuldades com as contas criadas temporariamente. Acredito também que o curso deveria ter videos com teor mais técnico, fica evidente que os apresentadores no vídeo enaltecem o GCP, parecendo uma tentativa de vender o produto.

For the beginner few topics , like few topics Cloud Bigtable ,Cloud SQL and Cloud ,Applications in the Cloud and Big Data and Machine Learning in the Cloud.. unable to understand .

Kindly look in to that topics try to modify ,

Thnaks.

Presentations and contents look like sales pitch not technical stuff. Whenever one step into the Quizzes or labs, it becomes obvious this material is not for architects, developers, or any technical professional trying to support GCP.

The overview is good, but some of the content is vague. A good example of this is the CLI commands used to perform operations. Understanding the CLI better can help admins perform actions in the commandline rather than in the GUI.

Course content is too much. Qwiklabs are interesting but some of the commands are not working (I experience only one). The presenters bore the contents and I think reorganizing the content to atleast two weeks is better.

There were some new updates to the lab and the videos. Some of the content doesnt match up correctly. Most of my work is completed but one lab was having GS:// url problems and wouldnt let me complete the course.

Could've used more explanation on some of the networking things, especially interconnect. Also, I think all the quizzes should have explanations on the right answers, and a link to a video on wrong answers.

Labs are ok, Lectures lack interaction (just slides presentation) and the monotonous tone and long sentences of the presenter makes it hard to understand and difficult to pick out important points. (IMHO)

This was my first Coursera course. I enjoyed the lessons, while a pdf file including all the course material would be appreciated especially for a quick recap and full text search before facing the tests.

Many videos need updating, specially when referring to services that were once in Beta (Cloud Functions, some ML services...), and there are no mention of the latest additions (Cloud Run, ML, and so on).

Brian Rice needs his hands tied, it's distracting. Some of the labs instructions were not following the actual screens in the CGP console. I wish there would have been more detail on the data tools.

Good basic course

very detailed (at least for the first level of depth in each module)

could have been slightly improved by using the same app example in all albs & demos (as much as possible of course)

While the material is useful, the organization needs work (e.g. EVERYTHING is a separate section). It's a new course though, so I can see these kinds of issues being ironed out in the future.

The training material needs updating. The code snippets are useful however it might be better to ask the student to run man commands for help on certain shell commands such gcloud or gsutil

Although it covers a lot, it is quite the grind to sit through all the videos and exactly repeating the steps the instructor did in the video doesn't feel as playful as it could be

Very wide brief of what tools are offered from Google.

Gave a good comparison of the different tools, at certain points it felt like marketing.

It is very friendly to beginners.

It should be little bit slow sothat people can get time to understand concepts. I had to stop many times and had to listen repeated sessions to make my understanding better.

some of the content are not very well structured, need improvement to make it easy to understand and provide a context to where and how to use the technical concepts.