Terraform in Practice Training in New Zealand

This foundational Terraform course is designed for professionals looking to deepen their Infrastructure as Code (IaC) expertise. Participants will automate, optimize, and secure their Terraform workflows across their preferred Public Cloud Service provider (AWS, Azure, or GCP).

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

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