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Avis et commentaires pour d'étudiants pour App Deployment, Debugging, and Performance par Google Cloud

1,105 évaluations
122 avis

À propos du cours

In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python....

Meilleurs avis


3 avr. 2020

This course was really nice. It helped me to learn basics of docker, kubernetes. Also, learnt how to debug apps in GCP. It's really nice learning experience. Thanks a lot!


28 juin 2019

Loved the course. It helped me put a lot of features together. One feedback for Coursera is to include all PDFs in a resource area like they did for the first course.

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76 - 100 sur 121 Avis pour App Deployment, Debugging, and Performance

par Ted G

15 nov. 2018

This course was very helpful in further understanding the GCP components and how to use them to develop and deploy cloud based applications.

par Nofar C

5 janv. 2019

Great course, gives you the basics of deployment and debugging tools in google. Good for starting with GCP tools

par Michał P

6 févr. 2021

Some lab's walthrough should be reviewed. Some lack of slides instaed long presenting name of a speaker.

par Rajesh S

30 juil. 2019

Course was amazingly designed. But i found certain topics to be repeated in different modules.

par Suat K

20 janv. 2021

It was a good review of some main components of GCP from a slightly different perspective.

par Hossameldin A

5 mai 2020

Very good course but some of the Qwiklabs are broken specially the ones with java.

par Michael F

18 mars 2021

Very helpful to get a basic (emphasis) feel for some great tools gcp provides.

par Shaikh M I M A

16 sept. 2020

Add more information on slide and make a demo lecture of GCP projects plzz


3 janv. 2021

The last 2 labs should allow you to use Java or python

par Vishal R

5 juin 2019

Short and crisp introduction to the topic.

par Sam S

14 oct. 2019

using java/python would be interesting

par Brian B

25 mai 2020

It's been an interesting course

par Jesús A P P

19 sept. 2018

It's a very good intro

par Emanuel T S

6 nov. 2018

Few labs not working

par Dinesh G

6 juin 2020

Good course.

par Vikas D

27 avr. 2020

It was nice.

par Govindarajan V

3 mai 2019

Good one


23 nov. 2019


par Thành N K

6 oct. 2018


par Dmytro B

5 janv. 2020

Not sure why so bright feedback is provided for the course. I guess Google name in title does the magic. Sadly, overall quality of course production was average (volume issues mentioned, some sentences or even passages repeated two times (error, not intention!), pace of some lectures is weird). Amount of information provided - well, it's fine. Not good, not bad - I was expecting for more anyhow; if stripping out information from other courses in this specialization - maybe an hour of useful videos provided. Maybe even less. Finally, some information (and labs) are outdated. I know that GCP is often updated but come on - making a lab completion status depend on steps that are now irrelevant - that's something new; well, at least labs here are not counting towards completion status. Or last quiz we have - and that's a control quiz for getting my "passed course" acknowledgement, how about the question # 3: "You can execute the gRPC calls for Cloud Datastore and Cloud Pub/Sub in series.". Wait, it's not a question - and who knows what should be selected in answers. Had to fail my first submit and randomly select new response based on "review lecture ..." message. Was expecting for more, seriously.

par Paul K

11 juin 2020

Generally a good course and covers a many important topics. The delivery is not great because the creators have relied a lot on automatic transcription without proofreading meaning that the text has hilarious transcriptions. For examples, I came across 'cereal' for 'serial' and many other. It wouldn't take much to do transcription and anyway the presenters were reading. Why not just copy and paste their scripts? Also, having the text structured in paragraphs with correct punctuation would also help students enormously.

I also found that some of the slides were not helpful. There would be a slide with some graphics that had so little information in relation to the audio content making it very abstract.

Overall, I got the impression that this course was prepared in a hurry. A revision would be more than necessary.

par Doug B

23 juin 2019

I didn't really get to learn anything in the way of developing applications for GCP. I just got advertised the capabilities of GCP then given some labs that weren't essential but time constrained so I was limited. Then given some short, very easy multi-choice tests.

This is nothign more than a Google marketing program paid for by Coursera users.

par Jorge I G P

2 mai 2020

Performance tuning

There were several errors in the laboratories that did not allow comprehensive learning. I love GCP but I am getting to know other cloud from my work like Azure and I think it is more intuitive than GCP, I think GCP should work on that.

par Angelos S

18 sept. 2020

I liked the course and found it very informative and relevant to what I am trying to do at work. The only issue I found was that some content was slightly out of date and part 3 of the last set of questions was missing the actual question.

par nosferatum

13 juil. 2019

Course is not diving into the basics and the internals, it is just an overview. Several labs were not so bad, but they are just clicking by the pre-written instruction. The tests are too easy to pass.