Course Introduction

Learn who this course is for, what the prerequisites of the course are, and how the course is structured.

About the course

The IT industry is moving forward in the automation journey. Machines execute operations faster than humans. Ansible is the technology that enables time-saving and helps avoid human errors by enabling infrastructure as code (IaC) in your data center.

This course teaches the foundations of the Ansible language and applies them in a Linux system administrator journey with real examples.

Intended audience

This course is designed mainly, but not exclusively, for:

  • Automation DevOps
  • Cloud engineers
  • System administrators
  • IT professionals


Some of the prerequisites for taking this course are the following:

  • Mandatory: Beginner Linux command line expertise is compulsory for learning Ansible.

  • Preferred: Computer programming (preferably Python) and YAML syntax are advantageous but not necessary.

Course structure

This course is structured in lessons. Each lesson is specific for an Ansible functionality and has a lot of code examples and hands-on demos.

  • Getting Started: This chapter discusses the Ansible architecture from the user’s point of view and teaches how to execute simple commands (Ansible ad hoc).

  • Ansible Language: This chapter explores code and best practices. It includes:

    • Targeting remote hosts (Ansible inventory)
    • Writing automation recipes (Ansible playbook)
    • Writing code that adapts to different scenarios (Ansible variables)
    • Advantage of the Ansible internal values, facts, and magic variables
    • Executing the code only in some circumstances (conditions, loops, handlers)
  • Ansible for Linux: This chapter explores some actual use cases for the Linux system administrator. It includes:

    • Testing network connectivity
    • Printing variables values
    • Configuration management (editing a single line or creating a new text file)
    • Executing commands on remote hosts
  • Ansible Troubleshooting: This chapter explains reproducing some common errors, troubleshooting them, and fixing them in Ansible.