Terraform in Practice

Participants should have:

• Foundational Knowledge of Operating Systems such as Windows or Linux as well as a basic understanding of networking,
• Familiarity working in the Command Line Interface and using IDE’s is advantageous as well as a basic understanding of JSON.
• Basic understanding of cloud concepts, terminology and basic services of either AWS, Azure or GCP is highly recommended

Target Audience

This course is designed for:

• Cloud Engineers & Architects
• DevOps Engineers
• IT & Infrastructure Professionals
• Developers looking to automate cloud deployments

By the end of this course, learners will be able to:

• Master Terraform State Management & Configuration Drift
• Implement Terraform Modules for Reusability
• Leverage Terraform Providers for Cloud Deployments
• Automate Terraform with CI/CD Pipelines using Terraform Cloud & Jenkins
• Manage Infrastructure at Scale with Workspaces

Day 1: Terraform Foundations & Core Features

Module 1: Introduction to Infrastructure as Code & Terraform

• Traditional Infrastructure vs. Infrastructure as Code (IaC)
• Why Terraform? Vendor-Agnostic IaC
• Terraform Workflow: init, plan, apply, destroy
• Terraform Configuration Blocks (provider, resource, variable, output)
• Lab 1: Deploying a Simple Docker Container with Terraform

Module 2: Terraform Foundations

• Installing & Setting Up Terraform on Windows, Linux, macOS
• Authentication Methods: AWS, Azure, GCP
• Terraform Files & Project Structure (.tf, .tfvars)
• Terraform Commands: terraform fmt, terraform init, terraform plan, terraform apply
• State Management & Dependencies (implicit vs explicit)
• Lab 2: Deploying a Virtual Machine using Terraform

Module 3: Working with Terraform Providers

• Terraform Provider Plugins & Registry
• Public Cloud Providers: AWS, Azure, GCP
• Managing Multiple Providers & Provider Aliases
• Lab 3: Creating a Basic Network with Terraform

Module 4: Advanced Variables, Functions & Workspaces

• Input vs Output Variables (variable, output, locals)
• Terraform Functions: String, Numeric, Date, Collection, Type Conversion
• Named Values & Expressions (Interpolation, Indexing, for_each, Conditionals)
• Workspaces & Multi-Environment Deployments
• Lab 4: Modifying a Hard-Coded Terraform Deployment with Variables

Day 2: Scaling Terraform with Modules, Pipelines, and Automation

Module 5: State Management, Templates & Configuration Drift

• Local vs Remote State Files (backend for S3, Azure, GCS)
• Migrating Local State to Remote Backends
• Configuration Drift & Terraform Import
• Logging & Debugging with TF_LOG
• Lab 5a: Migrating Terraform State to Remote Backend
• Lab 5b: Deploying Resources using Terraform Modules

Module 6: Automating Terraform with Pipelines

• Terraform Cloud vs Enterprise
• CI/CD with GitHub Actions Pipelines (terraform plan, terraform apply)
• CI/CD with Jenkins Pipelines (Jenkinsfile, terraform init, terraform plan, terraform apply)
• Lab 6: Creating a Terraform Pipeline with Jenkins
• Lab 6a: Creating a Terraform Pipeline with Terraform Cloud

Exams and Assessments

There is no specific certification associated with this course

Hands-On Learning

• Lab: Deploy a Virtual Machine in Azure, AWS, or GCP
• Lab: Implement State Locking & Remote Storage
• Lab: Work with Terraform Modules for Reusable Infrastructure
• Lab: Automate Terraform with Terraform Cloud & Jenkins
• Lab: Troubleshoot Terraform State & Configuration Drift

Why choose QA

• Practical & Hands-on: Real-world scenarios & labs
• Cloud-Agnostic: Covers AWS, Azure, and GCP
• Covers Advanced Terraform Features: Modules, CI/CD, and State Management
• Industry-Relevant: Prepares you for Terraform-based job roles