Chevron Left
Back to Troubleshooting and Debugging Techniques

Learner Reviews & Feedback for Troubleshooting and Debugging Techniques by Google

4.6
stars
2,969 ratings

About the Course

In this course, we'll give you the tools to quickly identify and solve real-world problems that you might come across in your IT role. We'll look at a bunch of different strategies and approaches for tackling the most common pitfalls of your code and IT infrastructure. You'll learn strategies for approaching almost any technical problem and then see how those apply to solving different real-world scenarios. We picked examples that include general system issues, issues with software that someone else wrote, and issues with programs that we wrote. We'll talk about problems that can affect any operating system, and we'll also look at challenges specific to certain platforms and scripting languages. We strongly recommend that you’ve taken the prior courses in this program, or already have knowledge of Python and Linux so that you can follow along with our troubleshooting examples....

Top reviews

AP

Oct 11, 2020

The course was very great and very engaging. The inclusion of real-world problems made the course more interesting. Got to know about many new things which I am going to apply in my current life.

SF

Aug 15, 2020

Great course. I learned a lot about troubleshooting and debugging. Not only learned to troubleshoot small issues but also bigger issues with applications, equipment, servers, network, etc..

Filter by:

476 - 500 of 575 Reviews for Troubleshooting and Debugging Techniques

By Juan J O P

•

Feb 11, 2021

I would have liked the labs were more difficult.

By Karsten S

•

Jul 13, 2020

Good introduction to general IT problem solving.

By zakaya t

•

Jun 11, 2022

a good intro for debugging and troubleshooting

By David G M

•

Jun 4, 2021

I think it's better more labs than one by week

By MOHD A K

•

Jul 27, 2020

many new thing to learn..

some concept are good

By Glvs R

•

Jul 18, 2020

difficult in Qwiklabs it takes me somany hours

By Yurii S

•

Oct 2, 2022

For me (as tech support) it was very useful

By sergio z

•

Dec 20, 2023

excellent course, it is very complete

By Fernando B

•

Jul 17, 2020

A very useful and interesting course.

By Konduru G

•

May 26, 2020

pretty simple and informative course

By Andre P

•

May 19, 2021

could have used more exercises

By CHIMEZIE B C

•

Oct 3, 2022

So brief and deep knowlegde

By Patrick

•

Apr 12, 2022

This was a very good course.

By Matt R

•

Aug 29, 2021

Simple yet tricky at times

By Imad E

•

Dec 11, 2022

A lot of information

By qassandra t

•

Mar 7, 2021

it's hard aaa:(

By Pavan C

•

Aug 22, 2020

It was Awesome

By Hussein I

•

Mar 30, 2021

so far is ok

By Chirkov M A

•

Oct 27, 2021

Well its ok

By Via A

•

Mar 12, 2021

Its great

By SWAGNIK C

•

May 5, 2021

Awesome.

By Aulia A F

•

Mar 19, 2021

great

By M. R I

•

Mar 3, 2021

Great

By Fede L

•

May 11, 2020

Good!

By fat k (

•

Feb 10, 2022

Pros:

- a lot of useful bits, that are specific to specific problems

- a list of useful tools to use in the future for diagnosis of the problems

- good lecturer

Cons:

Course felt a little out of touch. At one moment, the lecturer explains difference between lists and dictionaries, or what a crash is, at another moment, she explains how to deal with hardware failures on servers and how to do load balancing - useful bits, yet unrelated one to another.

In week 4, module about planning, time management even though it's useful and shows great practices, it again has nothing to do with Troubleshooting and Debugging - it makes sense as part of the specialization, but would probably fit well somewhere else.

Qwiklabs: I was really looking forward to it, and was hoping it would be an open questions with room for creativity. Unfortunatelly, it's a hand-holding labs that take 5-10 minutes tops if you have experience with python. I was hoping it would require to work more with mentioned tools - it would be even great if we would be forced to use top/head to figure out somehting about data we are working with, but the answers are all given within the lab straight away.

Discussion prompts: more of a distraction - it bothers a student because it's shown as an incomplete task in sidebar, but it also says optional - I guess it's Coursera's problem, but nevertheless, the questions are so broad that many students just joke/answer with empty strings/"trying to be cool". Answered on couple of them, but it's useless and felt redundant

Nevertheless, I found some parts of this course valuable, even so I'm working with python for a long time. Thank you!