In this course, we'll tie all the concepts they’ve learned throughout this program together. They’ll tackle scenarios in Qwiklabs that will challenge them to use multiple skills at once. They’ll take a closer look at how to use external Python modules like the Python Image Library (PIL) to extend their code’s capabilities. They’ll also use data serialization to turn in-memory objects into messages that can be sent over programs with Application Programming Interfaces (APIs). Finally, learners will solve a real-world problem by using their technical knowledge to create a program!
BJ
Lectures are well done. Labs can struggle with automated tasks. The mini quizzes throughout the course are re-enforcing and helpful. Lecturers are very good
YC
This course was really challenging, but also a great learning experience at the same time. Completing this course will boost your confidence and sharpen your skills.
NS
Excellent course! Learning a ton... No doubt, I will reuse of part of it in real life. The capstone project is hard as real life :). Much appreciated. Thank you!
AS
The perfect "ending" for very good courses! It takes everything you have learned in the first 3 courses and makes you apply the knowledge to real world problems!
AR
"Automate the Real World Stuff with Python libraries and modules; now the boring stuff is not boring anymore. And I will find more boring tasks to so that I can automate it."
AA
I learned a lot of practical information and further reading can be continued with the links provided. I am confident now on being job ready with the skills I obtained.
RP
To me, this is the best course in the specialization. It helps you realize how far you've gotten from just barely learning Python and it also has the best labs where you can practice your skills.
AD
Good general introduction to many IT areas. Would be even better if all of the code examples from the instructors were made available for download by the students.
LL
I thought it was a good course. It gives you a good foundation in python I would love to see google make a advanced python with django course or a golang course would be awesome too.
HG
To me, this is the best course in the specialization. It helps you realize how far you've gotten from just barely learning Python and it also has the best labs where you can practice your skills.
HR
I am immensely grateful to the team of Google and Coursera for making this possible. Now, with these tools I've learned, I'll be able to advance mi professional career!
AN
This course is an amazing conclusion to the entire specialization!! The projects are tough but you are thought every bit on how to go about a problem!! Altogether EXCELLENT!!!
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Course was mostly good. The Certificate is a shame though. How is the big Google not able to create a decently formatted final certificate?
The material is text only and far from sufficient.
Topic choice is strange.
First three labs are too easy, last one - too long and intense. Makes you struggle with the explanation and criteria< not the actual techniques. Grading is not transparent (ex. 4 in week 4).
And in the end, the Certificate is broken! Extremely disappointing. Nice course series, but the last one breaks the impression. Very unprofessional.
Код надо писать по SSH в редакторе nano. На задания даётся 1.5ч. Успеть за это время написать код в непривычной среде (без IDE) нереально. А писать код локально не получится, т.к. нужен доступ к ресурсам, находящимся в лаборатории (файлы, API, другие скрипты и т.п.).
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Это очень демотивирует.
Но вы можете списать готовое решение на форуме.
I am giving this course five stars because the content is really good. However, I thought it could have been better. There are not really any videos in this course - just quite long labs that you have to work through - which is fine as it is a capstone course. The problem is that the best way to complete the labs is to set up the problems on your own PC so that you don't run out of time. That would be ok but there doesn't seem to be a really easy way to do that. I use an Ubuntu on Windows 10 setup but there seem to be a few crucial instances where this doesn't fully match up to the lab environment. If I were to start again I would set up an actual dedicated Ubuntu machine or maybe a dual boot. In the end I just wanted to finish this course so I could complete the certificate. The final lab in particular was a bit too long in my opinion.
To me, this is the best course in the specialization. It helps you realize how far you've gotten from just barely learning Python and it also has the best labs where you can practice your skills.
It's amazing how this course was a good fit for me. Not only the ways to teach were awesomely think, the material was just perfect. I think that I'm a new professional after this. Not only because of the practice, but for the easiness of introducing the world of automation and IT. As a data scientist, that's going to be very useful in my future. Thank you, Google, that was really great.
So hard, but thanks God, I'm here now still alive :)
Thanks, Google! It's such a wonderful journey through your courses on day-to-day task and real-world problem solving... and I really like it!
Wow, that was nuts. But I kinda liked that. Hope to keep practice it.
Initially, I was scared of those technologies, but right now, I'm quite confident to use them. Thank you, Google team!
A huge thank to the whole Google team, who participated in filming and making this course real.
Especially, Khristine Rafla - for initial Python course, great tutor (I liked your videos the most, :) ) Roger Martinez - Python interaction (nice tutoring :) )
Kenny Sulaimon - great intro to the Git and VCS iself (you're cool :) )
Amanda Ballas - nice course about systems tech support (you're cool, as well :) )
Phelan Vindewel - that course blew my mind (I didn't know that would be so interesing to study)
It was an amazing experience, I've made the last module in a three days sprint and I really liked that! Thanks for covering so many topics in a single course: troubleshooting, time management, OS basics, projects version control, automation and, of course, python programming. I would say I pretty familiar with some of these topics, but it is always good to refresh knowledge. Incredible! Thanks a lot for this course!
The Capstone policies leave something to be desired, but I suppose that's the methodology to raise the courses' credibility. I enjoyed these projects thoroughly, and this format (reading up and completing full project 'from scratch') was preferable to the pure video lectures with minimal quizzing and walk-through labs. Overall great specialization looking forward to putting my new skills to use!
Good collection of automation challenges. The spirit of the challenges are good, but there is far too much handholding and boilerplate code. The challenges also don't really pull any skills from the git module, the config management module, nothing with regex/log parsing, unit testing. Didn't really feel like a capstone project that pulls in all the skills you learned thorughout the cert path.
Also, the overall design encouraged for the challenges are just not very good best practices. I felt like I was writing around someone elses shit code instead of designing a nice automation I would actually use in the workplace. Maybe that is part of the exercise, reading and using someone elses code, but maybe only have that be part of the challenges instead of the whole thing.
I would recommend this course to a complete beginner, but I would never recommend this to someone that has even a passing familiarity with python/programming. Better to just build some real things, barely even picked up any useful tricks
An excellent course offered by google .Anyone who really interested to learn something about python and automation must enrol this course.But the certificate after learning this course is not in a proper format the only drawback is that .I hope that google will take some steps to provide the certificate in a valid format.
This course exposed to me to how much there is out there in the world of I.T. and, how much one can get done with technologies and tools tools that are already in place. The instructors are great, learnt a lot from them, including good work ethics and even great life principles.
This was a great course. Every instructor was amenable and knowledgable. There are a lot of practices and projects to learn each aspect of automation. The python knowledge in this course gets you very far and gives you enough confidence to go and research on your own.
To me, this is the best course in the specialization. It helps you realize how far you've gotten from just barely learning Python and it also has the best labs where you can practice your skills.
This course is an amazing conclusion to the entire specialization!! The projects are tough but you are thought every bit on how to go about a problem!! Altogether EXCELLENT!!!
The course is a good summary of what you learned in the whole specialization. It is challenging and practical enough to get your hand dirty. A very good course.
Coursera is a great platform for learners as it not only teaches us but also test our learned skills which is very good and interactive for seekers.
Hate linux
The first three labs were okay (although there could have been more, simpler exercises beforehand to train on). The last one is definitely too difficult and poorly guided. Besides these courses, I've spent hundreds of hours on codewars, leetcode and stackoverflow, and I still wasn't prepared for such a complex assignment. It wasn't too hard, but there are few clues on how to structure it. Without help from discussion forums, I would never complete this. I spent so much time researching, preparing the scripts, and creating my own resources to work with, because you can't even download those used in the lab to your local computer. If I pay for a course, I expect to be taught something, but this is rather a bunch of exercises and you have to do research on your own.