Terraform for AWS

Terraform for AWS

Location: On-Site or Online
Pricing: $1,250 per seat (6-seat minimum)
Length: 4 Days

Course Summary

Terraform for AWS is a practical, hands-on course designed for engineers and automation practitioners who want to build, manage, and scale cloud infrastructure on Amazon Web Services using Terraform.

Students learn how to design, read, and maintain Terraform configurations to provision and manage AWS resources in a consistent, repeatable way. Core concepts such as providers, resources, variables, state, modules, and best practices are reinforced through frequent labs and real-world scenarios.

By the end of the course, students are comfortable using Terraform to create, update, and destroy AWS infrastructure safely, reduce manual effort, improve consistency, and support production-ready cloud environments.

Course Outline

Day 1 – Terraform and AWS Fundamentals

• 💬 Lecture: Infrastructure as Code concepts and Terraform use cases

• 💬 Lecture: Terraform architecture and workflow (init, plan, apply)

• 💬 Lecture: AWS fundamentals for Terraform users

• 💬 Lecture: HCL basics and Terraform configuration structure

• ⚙️ Lab: Installing Terraform and validating the environment

• ⚙️ Lab: Configuring AWS credentials for Terraform

• ⚙️ Lab: Initializing a Terraform working directory

• ⚙️ Lab: Defining and deploying a first AWS resource

• ⚙️ Lab: Running terraform plan and interpreting output

• ⚙️ Lab: Applying and destroying infrastructure safely

Day 2 – Variables, State, and Core Terraform Constructs

• 💬 Lecture: Providers, resources, and data sources

• 💬 Lecture: Input variables, output values, and locals

• ⚙️ Lab: Defining and using input variables

• ⚙️ Lab: Using outputs to expose resource information

• ⚙️ Lab: Leveraging data sources for existing AWS resources

• 💬 Lecture: Terraform state and state management

• ⚙️ Lab: Inspecting and understanding Terraform state

• ⚙️ Lab: Managing state changes safely

• 💬 Lecture: Remote state and collaboration

• ⚙️ Lab: Configuring remote state with Amazon S3 and DynamoDB locking

Day 3 – Modules, Logic, and Environment Management

• 💬 Lecture: Terraform modules and reuse patterns

• ⚙️ Lab: Creating a reusable Terraform module

• ⚙️ Lab: Refactoring configurations to use modules

• 💬 Lecture: Conditional logic and expressions

• ⚙️ Lab: Using count and for_each

• ⚙️ Lab: Applying conditional logic to AWS resources

• 💬 Lecture: Managing multiple environments (dev, test, prod)

• ⚙️ Lab: Environment-specific variable files

• ⚙️ Lab: Structuring Terraform projects for multiple environments

• 💬 Lecture: Error handling and troubleshooting Terraform runs

• ⚙️ Lab: Debugging failed Terraform plans and applies

Day 4 – Best Practices and Real-World AWS Automation

• 💬 Lecture: Designing safe and scalable Terraform configurations

• 💬 Lecture: Managing secrets and sensitive data

• ⚙️ Lab: Marking sensitive variables and outputs

• ⚙️ Lab: Integrating Terraform with AWS IAM best practices

• 💬 Lecture: Testing and validation concepts for Terraform

• ⚙️ Lab: Using terraform validate and terraform fmt

• ⚙️ Lab: Enforcing standards with policy-as-code concepts

• 💬 Lecture: Integrating Terraform into CI/CD pipelines

• ⚙️ Lab: Running Terraform non-interactively in pipelines

• ⚙️ Lab: Using plans and approvals in automated workflows

• 💬 Lecture: Real-world Terraform patterns on AWS

• ⚙️ Lab: Building a complete AWS infrastructure workflow

• ⚙️ Lab: Combining networking, compute, and storage resources

• ⚙️ Lab: Validating deployed infrastructure and documenting changes

Outcomes

Students who complete Terraform for AWS will be able to:

• Provision and manage AWS infrastructure using Terraform

• Write clean, reusable Terraform configurations

• Manage state safely in collaborative environments

• Use modules and variables to scale infrastructure

• Troubleshoot and debug Terraform workflows

• Apply Terraform best practices in real AWS environments