Google IT Automation with Python Professional Certificate
The follow-on to Google's IT Support programme, and the one aimed at people who are tired of doing the same task by hand twice: Python from the first line, then files, processes, Git, debugging and configuration management across many machines.
Six subject courses sit behind Coursera's monthly paywall, and finishing them is the whole requirement for the certificate.
Certificate facts
- Level
- Associate
- Field
- Development & DevOps
- Access
- Paid
- Assessment
- Course completion
- Languages
- EnglishEnglish is the original; Coursera marks the Spanish, Brazilian Portuguese, Indonesian, Japanese and Korean editions as machine translations.
- Price
- 49 USD (read 26 September 2026)
- Validity
- never expires
- Exam delivery
- No proctored exams: the Career Certificates are earned by completing courses on Coursera; Skillshop certifications are online assessments on Google Skillshop
Prerequisites: No coding experience assumed, but the programme builds on IT foundations; Coursera labels it advanced and aimed at people already working in IT. A computer where Python and Git can be installed is recommended.
Renewal: None. The programme page describes no expiry and no renewal step.
Source: certificate page at Google · Price: Coursera subscription per month in the US and Canada after a 7-day free trial; Coursera says other countries may pay less, and financial aid can be requested from the programme page (read 2026-09-26)
How to prepare
1. The programme
The certificate is earned inside this programme. Its facts, price and the provider's own page are on the course page; the link there carries no commission.
Affiliate disclosure: the course link above is an affiliate link — buying through them may earn us a commission at no extra cost to you. The vendor's learning path and booking links carry no commission.
The programme page contradicts itself about level. One passage calls it beginner, while the summary panel labels it advanced and aimed at people already in the industry. Both are right in their way. The Python starts from nothing, so no coding background is needed. What is assumed is the context: you should already know what a file system, a process, a log and a server are, because the exercises use Python to act on them. Someone who has finished the IT Support programme or worked twelve months on a service desk is the reader it was written for.
| Course | Coursera estimate | What you can do afterwards |
|---|---|---|
| Crash Course on Python | 21 hours | Write small programs with loops, functions and data structures |
| Using Python to Interact with the Operating System | 33 hours | Read files, run commands, parse logs with regular expressions |
| Introduction to Git and GitHub | 20 hours | Version your scripts and collaborate on them |
| Troubleshooting and Debugging Techniques | 19 hours | Find slow or failing code methodically |
| Configuration Management and the Cloud | 18 hours | Manage many machines with a configuration tool and cloud VMs |
| Automating Real-World Tasks with Python | 17 hours | Capstone: combine the above on a realistic problem |
Where the real gain lies
The operating-system course is the longest and the most immediately useful: once you can parse a log file and act on what you find, a whole category of manual work disappears. The Git course is a solid, platform-neutral introduction, better than many developers ever receive. The configuration management course is the weakest in shelf life, since tools in that space change fashion quickly, but the underlying idea of describing machines rather than tending them is lasting.
- Good fit: support staff and junior administrators who want to script their routine.
- Good fit: graduates of the IT Support programme looking for the next step.
- Poor fit: people aiming to become software developers; the Python here is practical scripting, not software engineering.
- Poor fit: experienced Linux administrators who already script in shell and only need a credential.
As a credential it is modest: no proctored exam, and job adverts rarely name it. As training it is some of the best value in Google's set, because the skills pay back in the job you already have, which is not something every career certificate can say.
Practical set-up
The page asks for Python installed on your own machine and, for some courses, a computer where Git can be installed, or an administrator willing to install it for you. That detail matters for people studying on a locked-down work laptop: sort out the permissions before the trial starts, or use a personal machine. Once set up, try to apply each course to a real task in your job as you go. Automating one genuine report or clean-up routine during the programme teaches more than the exercises and gives you a concrete example for your CV. Keep those scripts in a repository with a short README; after the Git course you will know how, and a small collection of working tools says more about you than the certificate does.
What a question looks like
Written by us in the exam's style. It is not a real question from any question bank, and we do not publish those.
Every morning you check a log file on forty servers for lines containing a particular error and email a summary to your team. Describe the structure of a Python script that does this, and name one failure it must handle so that a single unreachable server does not stop the report.
Writing the loop is easy. The programme's labs reward thinking about what goes wrong in practice, missing files, timeouts, unexpected formats, and making the script degrade gracefully instead of crashing at the first surprise.
What it costs to get and to keep
| Item | Amount | Note |
|---|---|---|
| Coursera subscription, per month | 49 USD | US and Canada price after the 7-day trial; Coursera says other countries may pay less (read 26 September 2026) |
| Whole programme at the stated pace | 300 USD | Coursera's own ceiling for most learners in the US and Canada who finish within six months (read 26 September 2026) |
| Software | not published | Python and Git are free; the page recommends a computer on which both can be installed (read 26 September 2026) |
| Renewal | not published | none described (read 26 September 2026) |
How much preparation, from where you are
- IT support worker with no coding
- The intended learner. The first two courses are the steepest; give them time and the rest follows.
- Administrator who scripts in shell
- The concepts are familiar; Python's structure and Git are the new material.
- Developer
- Mostly revision. The configuration management course is the only part likely to be new.
What passing this does not prove
- Software engineering practices such as testing frameworks or code design at scale.
- Any particular operating system to exam depth, as LPIC-1 does for Linux.
- Knowledge under proctored exam conditions.
- Production-grade infrastructure as code in current tooling.
Against the alternatives
- LPIC-1 — Linux Administrator (101-500 + 102-500)
- A proctored Linux administration exam. It proves command-line competence; this programme teaches automating that work in Python. They complement rather than replace each other.
- GitHub Foundations (GH-900)
- A proctored exam on the GitHub platform. This programme's Git course teaches the underlying tool more usefully; take GH-900 only if an employer values the platform credential.
Google IT Automation with Python Professional Certificate — quick answers
Do I need to know Python before starting?
No. The first course starts from zero. What helps is IT context: knowing what files, processes and servers are, because the exercises automate work on them.
Is it beginner or advanced?
The page says both. The coding is taught from the beginning, while the audience is people already working in IT. Beginners to IT should start with the IT Support programme.
Will it make me a software developer?
No. It teaches practical scripting for administration. It is a good first step toward development, but not a substitute for a programming curriculum.
What does it cost?
Coursera bills it monthly after a week-long trial, and aid can be requested before you start. The table above records the US and Canada figure.
Where this certificate sits in the field
What comes next
Concepts this certificate draws on
Glossary entries with the reason each one matters for Google IT Automation with Python Professional Certificate.
Last reviewed 26 September 2026 · Getting Digital