Terraform с Нуля до Сертифицированного Профессионала

Master Infrastructure as Code with Terraform: AWS & Beyond

Learn to build and manage infrastructure efficiently with Terraform, the leading Infrastructure as Code (IaC) tool. This comprehensive course provides a deep dive into creating both simple and complex infrastructures, with a strong focus on Amazon Web Services (AWS).

What You'll Learn:

• Terraform Fundamentals: Understand the core concepts of Terraform and its benefits for automating infrastructure provisioning.
• AWS Infrastructure Creation: Hands-on experience creating, modifying, and deleting AWS resources like EC2, S3, and more.
• Cross-Platform Compatibility: Learn how to adapt your skills to Microsoft Azure and Google Cloud Platform (GCP). Includes a dedicated GCP example.
• Prepare for the HashiCorp Certified Terraform Associate 2025 Exam: This course covers everything you need to confidently pass the certification.
• AI-Powered Coding: Discover how to leverage AI tools to write, debug, and optimize your Terraform code.
• OpenTofu Migration: Explore the OpenTofu project and learn how to migrate your existing Terraform infrastructure.

Course Curriculum:

• Introduction to Terraform: What is Terraform and why use it?
• Installation & Setup:
  • Terraform installation on Windows and Linux.
  • Updating Terraform versions.
  • Setting up Visual Studio Code for Terraform development.
  • Integrating Cursor AI for enhanced code assistance.
• AWS Resource Management:
  • Creating, modifying, and deleting AWS resources.
  • Utilizing static and dynamic external files (templates).
  • Leveraging Terraform Data Sources for dynamic data retrieval (e.g., finding AMI IDs).
  • Implementing Green/Blue Deployments with ALB + LaunchTemplate for zero downtime.
  • Using depends_on for resource ordering.
  • Implementing Lifecycle management for minimal downtime.
  • Understanding and utilizing Outputs for valuable information.
• Terraform Advanced Techniques:
  • Variables: Managing configuration with variables, including automatic variable completion (tfvars) and local variables (locals).
  • Local Execution: Running local commands with local-exec.
  • Terraform Actions: Automating tasks with Terraform Actions.
  • Secure Secrets Management: Generating and storing passwords in SSM Parameter Store.
  • Ephemeral Blocks: Utilizing ephemeral blocks for temporary resources.
  • Conditions & Lookups: Implementing conditional logic and data lookups.
  • Loops: Using count, for, and if statements for dynamic resource creation.
  • Multi-Region & Multi-Account Deployments: Creating resources across multiple AWS Regions and AWS Accounts.
  • Remote State Management: Using Terraform Remote State for collaborative infrastructure management.
• Terraform Modules:
  • Creating reusable Terraform Modules (Parts 1 & 2).
  • Building modules that span multiple AWS Regions and AWS Accounts.
  • Deploying multiple infrastructures (Prod, Dev, Staging).
  • Managing Global Variables.
• Google Cloud Platform (GCP): Introduction to working with Google Cloud Platform.
• Terraform Best Practices & Resources: Learning how experienced practitioners use Terraform and valuable resources for continued learning.
• State Management:
  • Importing existing resources with terraform import.
  • Semi-automatic resource import using the import block (v1.5+).
  • Safe resource recreation with terraform taint (pre-0.15.1) and terraform apply -replace (v0.15.2+).
  • Managing remote state using terraform state commands.
  • Code Refactoring with Terraform State.
  • Working with Terraform Workspaces.
  • Understanding Terraform Cloud and Terraform Enterprise.
• Terraform Updates & Considerations: What's new in Terraform 0.13+ and when to use AWS S3 State Lockfile.
• Certification Preparation: Detailed preparation for the HashiCorp Certified Terraform Associate exam.
• Custom Providers & Advanced Use Cases: Ordering pizza with Terraform using a custom provider.
• Advanced Loop Techniques: Using nested loops for complex task automation.
• Bonus Content:
  • Alternative **AWS