Nice

Nice

good

Nice

Good

good

nice

...

yey

yea

ff

ok

ok

gg

5

This was a great course and the instructor came across as really well prepared and very knowledgable. Unfortunately a big chunk of the content was top be consumed in 'listen only' mode because there was no way how one could replicate the examples on one's own computer.

I am not an expert enough to know how this could be done technically but I am sure there is a way, perhaps starting with giving students the opportunity to download all the scripts used in this course o0n their computer.

And once again, the tasks in the Qwiklabs lab fluctuated from ridiculously easy to far too complex. I think you urgently need to think about the connection between what is being learned in a given segment of a course and what you ask for in a task. It is frustrating if one experiences to be totally stuck because unable to recall knowledge that was being taught three courses ago.

One of Google's better courses, with the usual inscrutable fails seemingly endemic to these Google IT cert programs. While the content tails off a bit at the end in terms of complexity, it is an excellent overview of troubleshooting and debugging. Amanda is an engaging and focused instructor, and the vast majority of video tasks put you right into the problem-solving mindset you'll need to succeed in IT. The course does suffer from the same sort of Qwiklab bitrot I've seen in other Google IT courses -- the last assignment's Google-hosted .csv file was missing when I completed this course. Perhaps Google should troubleshoot and fix that?

This is a good course on troubleshooting and debugging. I think the subject is so vast that the deeper aspects of performance may not be covered at the hardware level or application level. Scenarios with cloud and on-premise examples would have been great. If there is a broader course covering these concepts of performance in on-premise and cloud would be great.

The course itself was very informative, and you learn really to use cool methods, tools, and get a solid explanation of how to approach troubleshooting and debugging techniques. A downside: Qwiklabs assessments was either too easy, or as in week 4 disconnected material and therefore way too hard for me. Learned a lot, 4 out of 5!

Good class. Take notes and record the commands used in the online exams. Instead of trying to duplicate the programs, debug your own to explore the commands discussed. The section on Linux Performance Observability and Performance Tuning Tools is most useful. I wrote a program to process the video text for important items.

This course covered a lot of very important technical content quite well, but the problem was that not a lot of opportunities were presented to practice these new concepts. I would have loved it so much more if there were some more exercise to try out. It was a little too esoteric for my taste (just a "little" bit).

Great course! The only reason im giving 4 stars is because there were many times I wished I could play around with the scripts Amanda was using but I couldn't download it on my pc. Other than that, it was a very informative course, loved learning about the different troubleshooting and debugging techniques.

The course provides a good overview on debugging and troubleshooting and in some cases deeper insights into Linux commands that help to pinpoint the root cause of a problem. However, some of the quizzes and especially the labs are too easy and in some cases don't match the course content well.

The content was good and it was presented well. There is very little Python in this course and some is above the specialization (so far) and some is much more approachable. While troubleshooting and debugging are very important, this course seemed focused on such a wide set of potential issues.

Good course, though not a ton of technical material. It's more focused on general, abstract ways to think through how to solve problems. You get to practice with Python which is nice, but otherwise do not receive a ton of new technical knowledge.