
Harness GitHub Copilot and Jinnai to write Terraform scripts quickly and accurately. The course covers setup, basics, and using Copilot to automate infrastructure with Terraform.
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Discover how GitHub Copilot acts as an AI-powered coding assistant inside your editor, enabling code completion, project setup, chat guidance, and even Terraform automation for faster, more enjoyable development.
Explore the limitations of GitHub Copilot and gen AI tools for coding, including code accuracy, security and ethical concerns, and dependency on training data.
Explore how Terraform, HashiCorp's infrastructure as code tool, uses a platform-agnostic configuration language to provision resources with providers, state, and modules, enabling automation, version control, and repeatable deployments.
Start with a quick Terraform demo in VS Code, building an AWS VPC and a subnet via main.tf and providers.tf, using init, plan, apply, destroy, and implicit dependencies.
Explore how to subscribe to GitHub Copilot, compare individual, business, and enterprise plans, and enable Copilot features in your workflow with VS Code and code suggestions.
Explore using GitHub Copilot free in VS Code with no subscription, including up to 2000 completions and 50 chat requests, by updating extensions and signing in for Terraform.
download and install visual studio code, set up folders and extensions such as GitHub Copilot, Code Snap, and HashiCorp CL, and use the integrated terminal to run Terraform commands.
install the official GitHub Copilot extension in VSCode, sign in, and enable completions for Terraform and plain text, then explore Copilot chat to generate and explain code.
Discover how to install Terraform on macOS, using Homebrew or downloading binaries, configure your path, and verify the installation with Terraform version.
Download the Windows binary from terraform.io and place terraform.exe in a directory such as c:\terraform. Add that directory to your system path so you can run terraform from anywhere.
Create an AWS IAM user with VPC full access, generate access keys for Terraform, and set credentials in the terminal via export or PowerShell env variables, then delete keys.
Use Copilot to rapidly scaffold a new Terraform project, generating a full directory structure (main.tf, variables.tf, outputs, terraform.tf, README.md) and a modules folder with an example module.
Explore building a production AWS VPC in us-east-1 with three AZs, public and private subnets, internet gateway, and route tables using GitHub Copilot to generate Terraform configurations.
Provide copilot with additional context via comments to generate targeted Terraform suggestions, then compare two alternative options and accept the best for resources like VPCs, security groups, and EKS clusters.
Explore the Copilot menu in VS Code to explain, fix, generate docs, and generate tests for Terraform code, including VPC CIDR blocks and provider versions, and Terraform tests.
Use Copilot to create a reusable Terraform VPC module with main.tf, variables.tf, and outputs.tf, then call the module with dev VPC CIDR and name to replace repeated VPC blocks.
Access and use GitHub Copilot chat to generate Terraform outputs, explain code, and insert or update resources, while managing variables and data validation.
Organize GitHub Copilot chat into focused threads in Visual Studio Code to keep context on Terraform variables, versions, and VPC questions, moving between quick chat and chat view.
Explore Copilot chat agents—workspace, terminal, and VS Code—and invoke them with the at symbol to navigate code, manage Terraform tasks, and format with the HashiCorp extension.
Master GitHub Copilot chat built-in slash commands in VSCode to explain terminal commands, run or search tasks, fix code, and scaffold Terraform files.
Learn how to change the context for GitHub Copilot chat by targeting specific files or the entire workspace to improve Terraform results for VPC and subnet blocks.
Learn to ask questions directly in your code with GitHub Copilot chat using inline Q prompts, and see how it explains Terraform blocks, defines required providers, and documents a VPC.
Use Copilot to generate a Terraform-specific gitignore, preventing tfstate, tfstate backups, lock files, and env-specific tfvars from being committed. Initialize git, check status, and commit only essential Terraform files.
Use Copilot to generate descriptive commit messages for Terraform changes, improving collaboration and traceability by detailing what changed and why in your git history.
Destroy all AWS resources with Terraform destroy to clean up your environment, then cancel and remove GitHub Copilot if desired, and uninstall extensions in VS Code to prevent costs.
Celebrate completing the course on using GitHub Copilot to accelerate Terraform workflows and boost developer productivity, while inviting feedback, reviews, and continued learning with AI assistance.
If you’ve ever wished you could get through Terraform coding faster and with fewer mistakes, this course is for you. We’ll explore how GitHub Copilot, an AI-powered coding assistant, can help you write, edit, and troubleshoot Terraform configurations—without changing the way you already work.
You’ll follow along as we build AWS environments step-by-step, using only free resources so you can practice without running up costs. The same approach works for Azure, Google Cloud, or any other environment where you use Terraform.
In this course, you’ll learn how to:
Set up GitHub Copilot and integrate it into your Terraform workflow
Write Terraform HCL more quickly and with fewer errors
Improve and refactor existing Terraform code with AI assistance
Review AI-generated code to make sure it’s secure, efficient, and ready to use
Apply Copilot to everyday DevOps tasks like provisioning, testing, and updating infrastructure
We’ll keep everything practical—focusing on real examples and scenarios you’re likely to face at work. By the end, you’ll feel comfortable using GitHub Copilot as part of your development process, knowing when to rely on it and when to take the lead yourself.
If you’re looking for a straightforward way to improve your Terraform workflow and get more done in less time, this course will give you the skills you need to make that happen.