Google IT Automation with Python Professional Certificate
We have already looked at TOP 100 Coursera Specializations and today we will check out a six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills including Python, Git, and IT automation that can help you advance your career.
Coursera Specialization is a series of courses that help you master a skill. To begin, you can enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. You can either complete just one course or you can pause your learning or end your subscription at any time.
This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You’ll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.
This certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.
If you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.
What will you learn
- Automate tasks by writing Python scripts
- Manage IT resources at scale, both for physical machines and virtual machines in the cloud
- Use Git and GitHub for version control
- Analyze real-world IT problems and implement the appropriate strategies to solve those problems
There are 6 Courses in this Professional Certificate
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you’ll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together and combine all of this knowledge to solve a complex programming problem.
Devops Engineer Masters Program will make you proficient in DevOps principles like CI/CD, Continuous Monitoring and Continuous Delivery, using tools like Puppet, Nagios, Chef, Docker, Git & Jenkins. It includes training on Linux, Python, Docker, AWS DevOps Certification Training and Splunk. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
We’ll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions — a very powerful tool for processing text files — and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.
We’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We’ll then learn how to read and write different types of files, and use subprocesses and input streams. We’ll also dive into Bash scripting and regular expressions — both very powerful tools for anyone working with systems. We’ll even touch on automatic testing, which allow us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports. We’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.
In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We’ll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration.
Throughout this course, you’ll learn about Git’s core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We’ll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we’ll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub. By the end of this course, you’ll be able to store your code’s history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! In order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.
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.
In this course, you’ll learn how to apply automation to manage fleets of computers. You’ll understand how to automate the process for deploying new computers, keeping those machines updated, managing large-scale changes, and a lot more. We’ll discuss managing both physical machines running in our offices and virtual machines running in the Cloud.
We’ll start by looking into an automation technique called configuration management, which lets you manage the configuration of our computers at scale. Specifically, you’ll learn how to use Puppet, the current industry standard for configuration management. We’ll look at some simple examples, and then see how we can apply the same concepts to more complex cases. You’ll be a Puppet-master in no time! Later on, you’ll expand your automation skills by understanding how to use the Cloud to help scale your infrastructure. You’ll check out some best practices for handling hundreds of virtual machines running in the Cloud and troubleshooting them when things don’t go according to plan.
In the final course, we’ll tie together the concepts that you’ve learned up until now. You’ll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once.
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