Terraform on AWS Step By Step: Free IaC Master Class Guide

Terraform Master Classes – AWS IaaS Automation teaches infrastructure as code (IaC) with HashiCorp Terraform on Amazon Web Services, from your first configuration to reusable modules. It is for cloud engineers, DevOps professionals and IT learners who want to stop building AWS infrastructure by hand and start defining it in code that can be reviewed, repeated and versioned.

The course covers infrastructure as code concepts, environment setup and authentication, the provider and resource blocks, the Terraform state file, variables and data types, expressions and functions, debugging and formatting tools, provisioners and modules. It has 38 videos, about 5.3 hours in total, free on YouTube and listed on the Terraform on AWS course page.

Who this course is for

• Cloud and AWS engineers who want to provision infrastructure consistently with code.
• DevOps learners adding infrastructure as code to their skill set.
• System administrators moving from manual console work to automation.
• Learners heading towards the HashiCorp Terraform Associate certification. The course overview is titled as a preparation guide for it, although the course is not listed as an exam course on Skills Pragati.

The catalog marks it Intermediate. Basic familiarity with AWS and the command line will help.

What you will learn

1. Infrastructure as code and setup. Understand Infrastructure As Code, LAB: Environment Setup for Terraform, Setup Authentication and Write First IaC Code With Terraform. Getting authentication right at the start is what lets Terraform talk to your AWS account safely.

2. Core building blocks and state. The provider block, the resource block, the Terraform state file (tfstate), All About Desired State Vs Current State and the AWS provider architecture and versions. State is the concept that makes Terraform work, and misunderstanding it is behind many real-world problems, so these lessons deserve extra attention.

3. Inputs and outputs. Attributes, output values, variables, variable assignment, data types in Terraform and custom validation rules for variables. These make your code reusable across environments instead of being hard-coded for one.

4. Logic and lookups. Count and count index, conditional expressions, locals, functions in Terraform and data sources. They let one configuration adapt to different needs and read information that already exists in AWS.

5. Working effectively. Terraform debugging, terraform fmt, terraform validate, load order semantics, dynamic blocks, resource tainting, splat expressions, saving a plan to a file, retrieving outputs and the settings block. These are the everyday skills that keep code clean and changes predictable.

6. Provisioners and modules. An overview of provisioners, the remote-exec and local-exec provisioners, creation-time versus destroy-time provisioners and failure behaviour, then a modules overview and a complete guide to Terraform modules on AWS. Modules are how you package infrastructure for teams to reuse.

How the course is organised

There are 38 videos and about 5.3 hours in total. After a 13-minute overview, the lessons mostly run between 3 and 19 minutes:

• Videos 1–5: overview, IaC concepts, setup, authentication and first code.
• Videos 6–10: providers, resources and state.
• Videos 11–16: attributes, outputs, variables, data types and validation.
• Videos 17–21: count, conditionals, locals, functions and data sources.
• Videos 22–31: debugging, formatting, validation, load order and advanced features.
• Videos 32–38: provisioners and modules.

Each topic builds on the previous one, so follow the order.

How to study it step by step

1. Set up Terraform and AWS authentication using the lab videos before you go further.
2. Use a separate AWS account or sandbox for practice, and destroy what you create after each session so you do not leave resources running.
3. Type every example yourself and run plan before every apply. Reading the plan is the habit that prevents accidents.
4. Open your state file after the state lessons to see what Terraform records. Then make a change in the console and watch Terraform detect the drift.
5. Refactor your first configuration with variables, outputs and locals once you finish videos 11–19.
6. Run fmt and validate on everything from video 23 onwards.
7. Finish by turning your code into a module and calling it twice with different variables.

This course currently has no Skills Pragati hands-on lab guide, practice simulation or mock exam.

Frequently asked questions

Is the Terraform course free?

Yes. All 38 videos are free on YouTube, and the course page lists them in order. Creating real resources in AWS can cost money, so use a practice account and clean up after each session.

How long does it take?

About 5.3 hours of video. With labs and practice, three to five weeks at a steady pace is realistic.

Do I need an AWS account?

Yes, to follow the labs. The course includes videos on setting up the Terraform environment and authentication with AWS.

What should I learn next?

For more AWS practice, see Learn AWS Step By Step With 3 Projects. For configuration management after provisioning, Step By Step Learn Ansible is the next tool in the same DevOps track.