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Terraform Masterclass on AWS

Master Terraform and manage your infrastructure on AWS using code like a PRO.

     
  • 4.6
  •  |
  • Reviews ( 5 )
₹799

This Course Includes

  • iconudemy
  • icon4.6 (5 reviews )
  • icon10 total hours
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconUdemy

About Terraform Masterclass on AWS

In this course, we will learn about Infrastructure as Code and Terraform. Terraform is one of the most famous and widely used Infrastructure as Code tool in the IT industry. We will look at an introduction to Infrastructure as Code, Different tools of IaC, Setting up Terraform on linux and windows machines.

We will also look at the various concepts of Terraform like providers, resources, outputs, variables, creating infra on AWS, Authenticating to AWS, Terraform workflow, Data source, provisioners, meta-arguments, tainting and alternative to tainting, null-resources, Terraform workspaces, managing Terraform state file on the local machine and remote machine, Using Terraform modules to make the infra code reuable, Terraform cloud, Terraform data types and lots of other concepts that will help you start working with Terraform to create and manage infrastructure on AWS using code.

In this course, I have covered all the important concepts that you will end up using in your day to day activities. All the sessions will have hands-on examples so that you can practise them along with the videos and there are also assignments and quiz available for most of the sections, so that you will be more comfortable with the concepts that we have covered in this course.

What You Will Learn?

  • Understanding Infrastructure as Code - Terraform.
  • Working with Terraform providers, resources, variables, outputs..
  • Working with Terraform modules.
  • Working and understanding Terraform workspaces, Terraform data source.
  • Working with Provisioners, locals, null-resources.
  • Setting up and working Terraform cloud.
  • Breaking the configuration files.
  • Managing the state file on local and remote.