Google IT Automation with Python Professional Certificate Online
These Google IT automation courses offer foundational instruction in Python, Git and configuration management of cloud devices for successful implementation of IT automation solutions.
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LEARN MOREWhat You Will Learn
- Develop an understanding of how to read and write different files, including writing simple programs using Python
- Study version control and learn how to leverage Git and GitHub to keep track of code and configuration files
- Use real-world scenarios to troubleshoot and debug a variety of technical problems
- Gain the skills needed to write and deploy powerful automation tools
About the Google IT Automation with Python Professional Certificate
Go next-level in your career by adding such in-demand skills as Python, Git and IT automation to your professional credentials. The Google IT Automation with Python Professional Certificate was developed by Google and is designed especially for Python beginners.
If you're tech-minded, hard-working, and want to learn to write code, automate systems tasks and use the Cloud to help scale infrastructure, then this professional certificate is for you.
Developed by Google, the six courses in this certificate program will prepare you for a variety of IT functions, such as support specialist and junior systems admin.
Through a combination of coursework and learning application assignments, you'll learn and practice programming with Python, automating common tasks, and troubleshooting and debugging problems with Git and Github.
Required Google IT Automation with Python Professional Certificate Courses
BEGINNER | Information Technology | Self-paced | 59 hours
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 will understand the benefits of programming in IT roles; understand basic Python syntax; explore different code editors and developer environments; 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. 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.
BEGINNER | Information Technology | Self-paced | 68 hours
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 allows 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.
BEGINNER | Information Technology | Self-paced | 44 hours
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 set up 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.
BEGINNER | Information Technology | Self-paced | 41 hours
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.
BEGINNER | Information Technology | Self-paced | 47 hours
Unlock the potential of automation for computer fleet management in our all-encompassing course. Whether you're new to the field or seeking to expand your skills, this program provides a solid foundation in automation techniques, offering a pathway to becoming a versatile IT professional prepared to launch and support modern cloud based applications and systems. You’ll start by discovering the art of automating computer deployment and management in a cloud-based environment. Then delve into the world of containerization with Docker and learn container orchestration with Kubernetes. Next gain expertise in configuration management tools and techniques to ensure system consistency and reliability. You will explore the world of monitoring, enabling proactive responses to potential issues. Finally, embrace the DevOps culture as you learn the principles of CI/CD. Become proficient in the art of automating software delivery pipelines, ensuring efficiency, quality, and consistency.
BEGINNER | Information Technology | Self-paced | 39 hours
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. First, we'll take a closer look at how to use external Python modules to extend your code's capabilities, and spend some time learning how to use documentation to learn a new module. For example, we'll use the Python Image Library (PIL) to create and modify images. We'll show you some simple examples of how to perform common tasks in the course material, but it will be up to you to explore the module documentation to figure out how to solve specific problems. Next, we'll show you how to communicate with the world outside of your code! You'll use data serialization to turn in-memory objects into messages that can be sent to other programs. Your program will send messages across the network to Application Programming Interfaces (APIs) offered by other programs. For those times when your code needs to talk to a person instead of a program, you'll also learn to send email messages. At the end of this course, you’ll be able to take a description of a problem and use your skills to create a solution -- just like you would on the job. In your final capstone project, you'll be given a description of what your customer needs, and it will be up to you to create a program to do it!Complete This Certificate. Get College Credit.
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Frequently Asked Questions
When you enroll in this self-paced certificate program, you decide how quickly you want to complete each of the courses in the specialization. To access the courses, you pay a small monthly cost of $35, so the total cost of your Professional Certificate depends on you. Plus, you can take a break or cancel your subscription anytime.
It takes about 5-6 months to complete the courses and hands-on projects in this program to earn your certificate.
No prior experienced is needed for this beginner-level series. Enroll now.
Share your certificate within your professional network to advance your career and showcase such in-demand skills as Python, Git and IT automation.
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