Course Syllabus: Azure Infrastructure Automation with Terraform
Course Overview
Duration: 6–8 Weeks (Suggested)
Level: Intermediate
Prerequisites: Active Microsoft Azure Subscription (Free Tier is sufficient), basic knowledge of Azure core services (VMs, Networking), and Visual Studio Code installed.
Objective: Learn to design, provision, update, and completely lifecycle-manage production-grade Azure resources and native Azure Automation components using HashiCorp Terraform.
🛠️ Module 1: Foundations of Infrastructure as Code (IaC) & Azure Setup
Get introduced to the declarative world of Terraform and establish a secure connection to the Azure Cloud environment.
Introduction to IaC: Mutable vs. Immutable infrastructure; Declarative vs. Imperative automation patterns.
Terraform Architecture: Understanding the client-only architecture, Terraform core, and the provider ecosystem.
Local Environment Configuration: Installing the Terraform CLI, Azure CLI, and essential VS Code Extensions.
Authentication & Permissions: Setting up a service principal in Azure Active Directory (Microsoft Entra ID) using client secrets and managed identities.
Hands-on Lab: Authenticating Terraform to your Azure subscription and configuring the azurerm provider block.
🏗️ Module 2: HashiCorp Configuration Language (HCL) & Core Azure Provisioning
Master the syntax rules of HashiCorp Configuration Language (HCL) by deploying fundamental Azure networking components.
HCL Block Syntax: Understanding provider, resource, data, variable, and output blocks.
The 4 Core Workflow Commands: In-depth mechanics of terraform init, terraform plan, terraform apply, and terraform destroy.
Deploying Core Networking: Provisioning Resource Groups, Virtual Networks (VNets), and Subnets.
Resource Dependency Management: Handling Implicit dependencies (resource references) vs. Explicit dependencies (depends_on).
Hands-on Lab: Provisioning an isolated VNet architecture with network security groups (NSGs) using custom variables.
💾 Module 3: Deep Dive into State Management & Remote Backends
Understand the state file—the critical blueprint of your infrastructure—and configure secure, multi-user collaboration.
The Purpose of State: Desired state vs. Actual cloud environment state.
State Operations: Interpreting the terraform.tfstate file, state security issues, and local security vulnerabilities.
Remote Backend Architecture: Storing state files securely in an Azure Storage Account Blob Container.
State Locking: Implementing concurrent execution prevention via Azure Blob Lease functionality to protect state files from corruption.
Hands-on Lab: Migrating a local state file to a secured Azure Storage backend and verifying state locking capabilities.
⚙️ Module 4: Advanced HCL Logic & Writing Reusable Modules
Transition from rigid scripts to highly modular, environment-agnostic infrastructure code.
Variables Deep Dive: Input variables, local values (locals), output variables, and validation rules.
Collection Variables: Handling arrays, objects, sets, and maps within configurations.
Meta-Arguments: Iterating resource blocks effectively using count and for_each.
Conditionals & Expressions: Incorporating ternary expressions and dynamic blocks.
Building Custom Modules: Creating parent-child module hierarchies, passing variables, and consuming private registries.
Hands-on Lab: Refactoring a standalone Virtual Machine configuration into a reusable custom module.
🤖 Module 5: native Azure Automation & Script-less Execution
Learn to manage native Azure platform-level automation resources cleanly via infrastructure as code.
Azure Automation Architecture: Purpose, configuration, and structural elements of an Automation Account.
Provisioning via Terraform: Deploying the azurerm_automation_account and assigning IAM security roles (e.g., Reader, Contributor) using HCL.
Managing Runbooks: Provisioning PowerShell and Python runbooks via code integrations (azurerm_automation_runbook).
Variables, Credentials, and Certificates: Managing secure environment variables and assets programmatically inside Azure Automation.
Schedules & Webhooks: Attaching automation actions to strict schedules using Terraform code.
Hands-on Lab: Using Terraform to deploy an Azure Automation account that pulls a diagnostic script, saves it as a Runbook, and maps it to a nightly clean-up schedule.
🚀 Module 6: Enterprise Workflows & CI/CD Pipeline Automation
Bring Terraform into a proper enterprise git workflow by automating your deployments through DevOps pipelines.
The Git Branching Flow: Pull request reviews, state drift isolation, and multi-environment targeting (Dev, Staging, Prod).
Terraform in Git Automation: Overview of infrastructure tracking via platforms like Azure DevOps (YAML Pipelines) and GitHub Actions.
Pipeline Task Security: Managing platform client secrets, utilizing secure runner environments, and separating planning from applying.
Static Analysis & Security Linting: Validating setups with external validation checks (tflint, checkov).
Hands-on Capstone Project: Building an automated Azure DevOps CI/CD pipeline that auto-triggers code validation on code commits, generates a plan output on a main pull request, and securely runs terraform apply upon merge approval.
Expertise
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