Cloud & DevOps💻 Technical CourseLearnAspire Certified

Terraform 1.7 Infrastructure as Code: Production-Safe Adoption for AWS Engineers

“Version, plan, and own your cloud — without breaking what's already running.”

Import existing AWS resources into state, configure team-safe S3 + DynamoDB backends, and promote infrastructure across dev/staging/prod — without touching production.

Intermediate12h6 modules48 slides18 exercises24 quiz Qs✓ Verified Mar 2026
🔥 Launch Price — 63% off. Limited time.
₹2,999₹7,999

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  • ✓6 modules of content
  • ✓48 concept slides
  • ✓18 practical exercises
  • ✓24 quiz questions
  • ✓Capstone project
  • ✓LearnAspire certificate

Learning Outcomes

What you'll learn

→You will be able to write a complete Terraform 1.7 root module in HCL — VPC, subnets, security groups, and 2× EC2 instances using variable interpolation, locals, and for_each with a complex object map — and apply it to a staging environment with a clean terraform plan output reviewed in a GitHub pull request.
→You will be able to import your three most critical existing AWS resources into Terraform state using Terraform 1.7 native import blocks without triggering resource recreation, and verify zero-diff plan output before merging to your main branch.
→You will be able to configure an S3 + DynamoDB remote backend with state locking, demonstrate what happens when two engineers run terraform apply simultaneously without locking, recover from a stuck lock using terraform force-unlock, and document the backend configuration so a second engineer can onboard in under 10 minutes.
→You will be able to extract a reusable Terraform module for Vaultline's web compute tier with explicit variable and output interfaces, publish it to a local modules directory, and call it from three separate root modules with per-environment tfvars files — passing tfsec 1.28 with zero HIGH findings.
→You will be able to hand a junior engineer a terraform.tfvars file and a README that lets them run terraform plan against the dev environment, read the output correctly, and open a GitHub pull request for review — without asking you a single question and without AWS console access.

The day after you finish

The day after completing this course, you will open your terminal, run terraform import on Vaultline's three most-used production AWS resources using 1.7 import blocks, verify a zero-diff terraform plan output, push the state-backed configuration to a GitHub branch, and open a pull request — giving your team their first version-controlled, auditable record of production infrastructure without a single resource being recreated or a single deployment window required.

Who this is for

  • Primary: AWS Infrastructure Engineer or DevOps Engineer with 3–5 years of console-based AWS experience managing 10–50 resources across dev/staging/prod with no IaC version control
  • Secondary: Platform Engineer or SRE inheriting an undocumented AWS environment who needs to bring existing resources under Terraform state without a maintenance window
  • Tertiary: Engineering Manager or Tech Lead who will review Terraform pull requests, approve module interfaces, or evaluate the team's remote backend and workspace strategy

Prerequisites

  • AWS console fluency: you provision EC2, RDS, VPCs, security groups, and IAM roles without documentation
  • Git workflow competency: you open pull requests, resolve merge conflicts, and understand branch-based review
  • CLI navigation: you work in a terminal daily and have run AWS CLI commands against a live account
  • Basic YAML or JSON reading ability: you have read a CloudFormation template or AWS policy document
  • NOT required: any prior Terraform or HCL experience — this course starts from zero HCL and moves fast

Curriculum

6 modules · full breakdown

☁️ Part of: Cloud & DevOps Path

Step 1 — AWS Basics
→Step 2 — CI/CD
→Step 3 — Docker + CI/CD
→Step 4 — Advanced CI/CD
→Step 5 — Terraform IaC
→Step 6 — Security
← Previous: Step 4 — Advanced CI/CDNext in path: Step 6 — Security →
🏆

Capstone Project

Vaultline Production-Ready Multi-Environment Infrastructure Repository

Provision a complete 3-tier application stack for Vaultline — Application Load Balancer, Auto Scaling web tier (t3.medium), RDS PostgreSQL 15.4, and S3 log bucket, inside a VPC with public/private subnets and least-privilege IAM roles — using a modular Terraform codebase with separate dev/staging/prod root modules, per-environment terraform.tfvars files, an S3 + DynamoDB remote backend with per-environment state keys, GitHub Actions workflow running terraform plan on every pull request, and a tfsec scan with zero HIGH findings. The final repository includes a documented module interface README and a simulated import of two pre-existing resources into the staging state file.

What you'll deliver

A public GitHub repository containing: (1) a /modules/compute_web_tier and /modules/data_postgres module with documented variable and output blocks; (2) /environments/dev, /environments/staging, and /environments/prod root modules each with their own backend configuration and terraform.tfvars; (3) a .github/workflows/terraform-plan.yml GitHub Actions workflow that posts plan output as a PR comment; (4) a tfsec scan report showing zero HIGH severity findings; (5) a terraform.tfstate excerpt or plan output demonstrating two imported resources with zero planned changes; and (6) a README that a junior engineer can follow to run dev from scratch.

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