Google IT Automation with Python Professional Course Overview

Google IT Automation with Python Professional Course Overview

The Google IT Automation with Python Professional Certificate course is designed to provide IT professionals with in-demand skills including Python, Git, and automation, to advance their careers. The course is a comprehensive guide to automating tasks, managing IT resources, and solving real-world IT problems.

- Module 1 dives into how to automate tasks by writing Python scripts, covering basic Python syntax and how to write scripts for process automation.

- Module 2 focuses on using Git and GitHub for version control, ensuring learners can manage and track changes in their code effectively.

- Module 3 teaches how to manage IT resources at scale, whether dealing with physical or virtual machines in the cloud, introducing tools like Google Cloud Platform.

- Module 4 is about analyzing IT problems and implementing solutions, enhancing the learner's problem-solving skills in real-world scenarios.

Learners will gain practical experience, which will help them to become proficient in automating tasks with Python, managing IT resources, using version control, and solving complex IT issues.

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  • Live Training (Duration : 8 Hours)
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

  • Basic Computer Knowledge.

Target Audience for Google IT Automation with Python Professional

  1. The Google IT Automation with Python Professional course is designed for individuals seeking to enhance their IT automation and Python scripting skills.


  2. Target Audience and Job Roles:


  • IT Professionals looking to automate repetitive tasks
  • System Administrators interested in scripting and automation
  • DevOps Engineers focusing on deployment and management automation
  • Software Developers who want to learn Python for automation purposes
  • Network Administrators aiming to manage network configurations with scripts
  • Technical Support Specialists seeking to streamline their workflow
  • Cloud Engineers who manage cloud infrastructure and services
  • Data Analysts interested in automating data processing tasks
  • Graduates with IT background aspiring to enter automation or DevOps roles
  • Professionals wanting to learn about version control with Git and GitHub
  • Cybersecurity Analysts looking to automate security monitoring tasks
  • IT Managers who want to understand the technical aspects of automation to improve team efficiency
  • Freelancers in the IT space looking to expand their service offerings with automation skills


Learning Objectives - What you will Learn in this Google IT Automation with Python Professional?

  1. Introduction to Course Learning Outcomes: The Google IT Automation with Python Professional course equips students with essential skills in Python scripting, version control, cloud services, and IT automation to streamline and solve complex IT problems.

  2. Learning Objectives and Outcomes:

  • Write Python scripts to automate repetitive tasks, boosting efficiency and productivity.
  • Understand the fundamentals of Python programming including variables, data structures, and control flow.
  • Utilize Python libraries and tools for IT automation tasks like managing files and processes.
  • Employ Git for tracking changes in source code during software development and using GitHub for collaborative version control.
  • Implement best practices for version control and learn how to resolve merge conflicts.
  • Design and apply automation solutions to manage physical and virtual IT resources effectively in a cloud environment.
  • Understand cloud computing services with a focus on automating Google Cloud Platform resources.
  • Analyze real-world IT challenges and develop strategic automation solutions to address them.
  • Apply problem-solving techniques to troubleshoot and resolve complex IT issues.
  • Create comprehensive strategies for automating deployment, configuration, and maintenance of IT systems at scale.
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