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.

The labs were awful, no instructor, no videos. There was no one to help you with your lab problems and on top of that when you get the specialization certificate it is not properly formatted.

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.).

=(

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

Despite of completing all courses within this professional course i have not got the professional certificate by google.I am not even getting reply for mail.

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.

Course Review: "Automating Real-World Tasks with Python" Course Overview: "Automating Real-World Tasks with Python" is an online course offered by Google via Coursera. It is designed to equip learners with practical Python programming skills to automate various real-world tasks, ranging from file management to web scraping. As an engineering student, I found this course particularly beneficial due to its focus on practical applications that are directly relevant to technical and engineering fields. Course Content: The course is structured into several modules, each focusing on different aspects of automation using Python: Introduction to Python Automation: Basics of Python programming. Overview of how Python can be used for automation. Managing Files and Directories: Techniques to automate file and directory management. Practical examples such as organizing files and directories based on criteria. Processing Files and Extracting Data: Reading from and writing to different file types (e.g., CSV, text files). Extracting and processing data from files for further use. Interacting with the Web: Web scraping with libraries like BeautifulSoup and Selenium. Automating interactions with web pages. Working with APIs: Introduction to APIs and how to use them. Examples of automating data retrieval from web APIs. Automating with Cloud Services: Integrating Python scripts with cloud services. Using Google Cloud Platform (GCP) for automation tasks. Pros: Practical Focus: The course emphasizes real-world applications, making it highly relevant for engineering students who can apply these skills in projects and internships. Hands-On Projects: Each module includes hands-on projects that help reinforce the concepts learned. These projects simulate real-world scenarios, enhancing the learning experience. Resources and Support: The course provides ample resources, including code examples, documentation, and access to a community forum for peer support and instructor assistance. Flexibility: Being an online course, it offers flexibility to learn at one's own pace, which is ideal for students with busy schedules. Personal Experience: As an Engineering student, I found the "Automating Real-World Tasks with Python" course to be highly valuable. The practical focus on automation is directly applicable to many engineering tasks, such as data analysis, simulation, and project management. The skills I acquired have already proven useful in my coursework and internships, particularly in automating repetitive tasks and managing large datasets. The hands-on projects were particularly beneficial, as they provided a context for applying theoretical knowledge. For instance, automating file management and web scraping has streamlined several of my research processes. Additionally, the introduction to APIs and cloud services opened up new avenues for integrating various technologies into my projects. Conclusion: "Automating Real-World Tasks with Python" is a well-structured and practical course that offers significant value to engineering students. Its focus on real-world applications and hands-on projects makes it an excellent choice for those looking to enhance their Python programming skills and apply them in practical scenarios. While it might require some foundational knowledge in Python, the skills and insights gained from this course are well worth the investment.

Most of the coursework is guided. Faced few dead ends but there is a lot of community support across the site and sample guides are available through out Google to get past what you get stuck on. I have been playing shell scripting and py-scripts for awhile and this is something I just wanted to get certified about to get my knowledge identified and stand out from the crowd. It took me over 1.5 month to get done with coursework for both IT fundamentals and Automation specialization by Google. Thanks to wholesome community for provision of summarized coursework and to the point material to study from to get through it in such a short 6 week time. Now, I can get ahead with finishing other courses and get started with my university. I just want to see my self as a Googler in near future and contribute to the community in a best possible way I can. With my knowledge and scalable skills.

This course has great value just for boosting my confidence in Python as a tool on my tool belt.

Overall, it's a solid capstone for the certificate. I believe this course is what gives the certificate its value. The lack of overt hand-holding ensures that those that pass actually understand the material. I personally prefer this style of teaching because I learn by doing and being forced to think about what I'm doing. Students aren't bereft of guidance, however, as each weekly lab prepares you for the final lab.

As long as you're preparing for the labs by writing the scripts on your own beforehand, you'll do great.