Google IT Automation with Python

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Overview

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This beginner-level, 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. Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers. 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 completion, you can share your information with potential employers, like Deloitte, Target, Verizon, and of course, Google. We recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you. If you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate. Check out all Google Career Certificates here.

Syllabus

Course 1: Crash Course on Python
Course 2: Using Python to Interact with the Operating System
Course 3: Introduction to Git and GitHub
Course 4: Troubleshooting and Debugging Techniques
Course 5: Configuration Management and the Cloud
Course 6: Automating Real-World Tasks with Python
Course 7: Accelerate Your Job Search with AI

Courses

2 reviews
20 hours 43 minutes
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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.
0 reviews
1 day 8 hours 49 minutes
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This course is designed to explore how to execute Python locally and organize and use code across different Python files. Learners will learn how to read and write different types of files, use subprocesses and input streams, create Bash scripts, and use regular expressions. This course also covers automatic testing and explains how to set up a developer environment on a personal machine. 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.
0 reviews
20 hours
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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.
1 review
19 hours 6 minutes
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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.
0 reviews
18 hours 17 minutes
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In this course, learners will unlock the potential of automation for computer fleet management. This course 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. This course covers the art of automating computer deployment and management in a cloud-based environment, including the configuration of virtual machines using Puppet and managing infrastructure resources through orchestration tools like Terraform and command-line interfaces (CLIs). Learners will also explore how to define Service-Level Objectives (SLOs) and implement monitoring and actionable alerting systems to swiftly address issues. They’ll also gain expertise in incident management and recovery, including rollbacks, redundancy, and creating disaster recovery plans.
0 reviews
16 hours 46 minutes
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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!