Лабораторная 2 недели ужасна. Не ясны критерии.

На 1 и 3 неделях лабораторные проходятся простым копированием.

На 4 неделе интересная лабораторная, но опять неясные критерии.

Лабораторные никак не связаны с лекциями... =(

This course was very theoretical, I liked the content but there were many tools explained but none of them were used in a hands-on lab. I wanted more practice questions.

It was a good learning experience.

Overall good class, I did learn a lot. Was hoping for more in depth tricks in managing environments using python scripting. Much was repeat for me in the logic of incident management.

Should have much more focus on the scripting techniques and not on the management of issues. I felt the two script labs were too difficult given the knowledge provided.

Didn't go into much practice of the more difficult topics/concepts. Would have liked to see more debugging practice with linux shell looking at memory usage, time, etc.

Good introduction to some ideas if you haven't been exposed to them before. But the exercises either weren't challenging or were broken.

The course lacks adequate examples, practicing exercises and assignments. However, it is better than the the 2 previous courses.

Nice overview of best practices within IT, however the course could use more hands-on programming with debugging tools.

The material is not well organized. The suggested actions look random and not driven by some underlying logic.

Courses are good, but I'm really confused that the certification doesn't show my name......

Discovered some useful new resources. The projects could have been more challenging.

too many tools and topics with little implementation

This Course has more theory than practical activity

Good ideas, but to complex and short

This was the hardest till now...

Way too much descriptive!

Too Techincal, but good

fine

cool

I found this course to be the first major let down in these Google courses. MANY topics are shown and then just glossed over. Many of the concepts are barely shown and then link to a wikipedia article, that has a small amount of technical data which does not leave a learner with any measurable amount of greater understanding. Most of the concepts given in this course are somewhat common sense and easily obtained by just basic tinkering. I expected more.

The topics are good, and as an extreme overview its ok I guess. Certainly do not expect to be ready to do anything with real world troubleshooting after having taken this course. This course is merely an acknowledgement of things you will need to spend your own time on...basically, its name dropping concepts, programs, commands, and processes so you can spend your own time to actually learn what they are.

If it was not part of the Google IT Automation track, I would not recommend this course.

a lot of the material wasn't really covered for the big quizzes as the lady that teaches never really shows examples of how to do the thing she says to do. Most of the time she was just saying the same obvious thing over and over kinda like a person who had to have a certain time meet per video and just saying the same stuff again and again without ever showing what she was talking about. for the last quiz i had to do independent research for the whole thing since the topic was covered so poorly in the course and while i dont mind independent research i would have loved at least one example. not worth paying 50 bucks if i cant rely on the course

This course has taught me a lot of concepts, but, it was not up-to the mark as compared to the other courses in this specialization. This course had some really tough exercises, which makes no sense to a beginner learner. The exercise problems were not taught before-hand, and that confuses learners. But, overall it was a good experience. The way of teaching was really good as I understood all the theory concepts taught by the instructor, but, it would have been much better , if some more practical examples were provided with their codes.

Too long video lectures and least useful exercises so far in this specialization. There is a bit of a mismatch between the contents of the lectures and the Labs. Not as hands on as the other courses. The lectures comprise of a big amount of "if this, then that" and I think everyone would benefit in putting that in a visual form of decision tree instead of making it into a series of long lectures. Or have the visual material as reference along with the lectures.

I am giving this course a 2 star because I expected more practicals, the course mostly covers theories and practicals were very less and even the labs were poor, I hope this draws the attention of the mentor, and we can get an updated/practical oriented course. Sorry for low ratings, but this is just to draw your attention to update it, so everyone can learn more

Some interesting stuff here, but also a lot of irrelevant stuff. Scope was too broad, and some things felt so briefly touched upon it was pointless. Started to feel I was not doing a course about Automation and Python anymore. One lab was very simple and the other one needed access to a file url which was giving a 404 at the time.