We’ve all been looking for solutions to automate the tasks of every kind. Hence automating IT is also one of a kind to reduce the number of steps and reduce the time taken. This Google IT automation with Python professional certificate course designed for anyone who wants to automate the IT solutions.
But why use Python programming language to automate the IT?
If you are going to ask any programmer, they tell you that Python is the most in-demand programming language and widely used in all areas. They are easy to learn and effortless to remember the Python Syntaxes.
Python is also the easiest programming language to learn and used in AI, Machine learning, Data Science, and much more. Due to the rising popularity of Python, Google associated with Coursera and designed a course – Google IT Automation with Python Professional Certificate.
FAQ on Google IT Automation with Python Professional Certificate Course
What is IT Automation?
IT automation is the process of automating the repetitive task/process to reduce manual interference. Some of the IT automation tasks include network automation to infrastructure and cloud provisioning.
What is Google IT Automation with Python?
Google IT Automation with Python is a Professional certificate course offered by Google in association with Coursera. This Professional Certificate course includes a six-part course where you learn Python, Git, and IT automation.
Why use Python for IT Automation?
Python is the most in-demand programming language and best suitable to automate any tasks in the real world. It is also easy to learn by anyone even without prior programming experience.
What is the Prerequisite for Google IT Automation with Python?
This course doesn’t have any prerequisites. However, it would help if you know the basic IT concepts like operating systems, files, and processes, networking, and data management.
What is the cost of Google IT Automation with Python Professional Certificate?
The cost of this specialization course is $49, and you can review the price and contents of this course on the Coursera website.
If you are an absolute beginner to the IT field then you must start learning from the basics with this course Google IT Support Course. Now that you’ve gone through some of the FAQ, let’s review what this Google IT automation with Python course offers.
This course is developed by Google, which includes a series of six-course. By taking this course, you learn Python, Git, and IT automation to help you get started with the career or advance your current career.
This course helps you to build your IT foundations to upscale your career to the next level. It is designed to teach you Python from the ground level to automate everyday system administration tasks.
Once you learn Python, Git, and GitHub, this course teaches you to apply automation at scale by using configuration management and the Cloud, troubleshoot, and debug complex problems.
You can complete this course on your own time as it offers a self-paced study. Ideally, by dedicating a minimum of 10-15 hours per week, this course can be completed in 6 months.
The series of 6 courses in this specialization, Google IT Automation with Python Professional Certificate course is listed below.
- Crash Course on Python
- Using Python to interact with the Operating System
- Introduction to Git and GitHub
- Troubleshooting and Debugging Techniques
- Configuration Management and the Cloud
- Automating Real World Tasks with Python
Let’s look into each course of Google IT Automation with Python.
1. Crash Course on Python
Crash course on Python created to train you on the foundations of Python programming language to write simple programs. This course doesn’t need any prior experience in any programming language. Anyone can learn it.
The course kicks off with the basics of writing a computer program. Progressing with the course, you get hands-on experience in writing language through interactive exercises and real-world examples. You’ll learn how computers can perform multiple tasks by writing a code that tells computers what to do.
By reaching the end of a crash course on Python, you’ll learn and understand the benefits of programming language and how it plays an important role. You can write simple Python programs to combine knowledge and solve complex problems.
2. Using Python to interact with the Operating System
In the second part of the course, you’ll learn how to execute the Python program locally, organize to use code across different Python files. You’ll also learn how to open, read, and write the files.
Along with Python, Bash scripting introduces powerful tools while working with systems. And by learning automatic testing, one can check if the written Python code is correct. These things come in handy and save you time while working on a production or while working on projects.
While writing any program on your computer, it is vital to set up a developer environment. You’ll learn how to set this up in this course. It is a crucial step to write and deploy powerful automation tools.
By reaching the end of the second course, you’ll be able to write, open, and modify the files on your computer. Also, you learn some of the basic Linux commands by working on a virtual machine. The skills that you gain here is essential for IT specialists.
3. Introduction to Git and GitHub
While writing a Python program, you’ll come across different versions of it or a more accessible version of the already written code. To manage the different versions of codes, you can utilize the popular tool called Git.
Git is a version control system that helps you to keep track of different versions fo your code and configuration files. You’ll learn how to set up an account in GitHub to create your very own repositories to save your Python code.
In this entire section, you gain knowledge on Git’s essential functionality to help you understand why programmers and organizations use it. You’ll start from the basics and head towards to advanced features.
Using Git saves you from many situations that you’re unable to foresee it for now. Git comes in handy and saves you in times of emergency or while debugging.
By the end of the third course, you would’ve learned to store the code with its history in Git and can collaborate with others in GitHub. By storing your code in GitHub, you’re creating your portfolio, which you can share with your new employer.
4. Troubleshooting and Debugging Techniques
In the fourth section of Google IT Automation with Python, you’re provided with the necessary tools to recognize and solve real-world problems that you may come across while working in the IT domain. To foresee the standard errors of your code in the IT infrastructure, you’ll learn different approaches and strategies.
Here you’ll learn most of the efficient strategies to solve any technical problem and apply them to solve real-world scenarios. Significant kinds of issues are included in this course and how you can troubleshoot and solve them.
Knowledge of Linux and Python comes in handy in this course. Hence it is highly recommended that you follow along the 6 part course in the same order.
5. Configuration Management and the Cloud
In the fifth part, you’ll learn and apply automation to manage several systems. You’ll learn the importance of automating the process for deploying new computers and managing them on significant scale changes.
Here is where your skills are taken to the next level as you manage both machines in your office and VM runnings in the Cloud. You start learning the configuration management skillset to maintain the configuration of computers at any given scale. The tool used for configuration management is Puppet, which is used in most of the organization to manage configurations.
By learning the Puppet configuration management tool, you’ll become a Puppet-master. You learn to understand to use the Cloud to scale your current size infrastructure. Also, it provides the best practices to manage several virtual machines in the Cloud and troubleshoot with ease.
6. Automating Real World Tasks with Python
In the closing section of the six-part course, here you utilize the learnings and merge the learned concepts in the previous 5 courses. You use Qwiklabs to learn to solve real-world situations by using many skills that you’ve learned so far.
Learn data serialization to turn in-memory objects into messages to send to other programs. You’ll also learn and manage the API concepts to interact with different programs.
After reaching the end of Google IT Automation with Python course, you’ll be able to imitate the problems and create a solution like you would on the job.
In the final capstone project, you are given a brief of what customer needs, and you are the sole person to create a program to solve the problem.
Upon completing all the six courses in Google IT Automation with Python Professional Certificate, you will be provided with a professional certificate. You can share this certificate with the potential employers to add value to your resume while attending interviews.
Career Review with the Google IT Automation with Python
The Google IT Automation with Python Professional Certificate helps you to apply for several different roles in the IT field, such as IT Support Specialist or Systems Administrator positions.
After completing this specialization course, you’ll get access to unique career resources. This includes the ways to perfect your resume and practice for interviews.
You also have the option to share your information with potential employers like Hulu, Walmart, Google, and more.
Finally, this course is designed to help beginners or professionals who want to scale their career to the next level. We’ve seen how the course begins and ends.
You learned the different stages of the course and what it offers. Let’s summarize what you’ll be doing once you complete this course.
The Google IT Automation with Python Professional Certificate is one of the best online course that helps you to perform the below after completing the course.
- Understand why Python is relevant to IT in 2020
- You can write scripts in Python language
- Understand the importance of IT Automation
- Managing files and processes with Python
- Setup developer environment in Python
- Understand why version control is essential for coding and collaboration
- Use Git for version control and interact with GitHub
- Implement debugging techniques
- Manage infrequent resources in your IT systems
- Manage VMs and other resources in the Cloud
- Use Python libraries to automate different processes
- Analyze real-world IT problems and approach the right method to solve it
Hope this content has helped you to make a decision in taking the course. If you’ve any questions feel free to leave a comment.
Google IT Automation with Python
Google IT automation with Python professional certificate course comes with 6 courses and with hands-on projects.
Course Provider Name: Coursera