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Terraform Master Class – 12 Week (24 Hour) Intensive Course

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Course offered by Chandranath Mondal

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Course Description

Terraform Master Class is a practical, AWS-focused course designed to help professionals master Infrastructure as Code using HashiCorp Terraform. Whether you are just starting out or looking to deepen your automation expertise, this 24-hour course provides the hands-on knowledge and confidence to build, manage, and scale infrastructure on AWS using Terraform.

By the end of this course, you'll be equipped to write production-grade Terraform code, manage infrastructure at scale, and prepare for the Terraform Associate Certification.

 

🧭 Delivery Format

  • Total Duration: 12 weeks (24 hours)
  • Delivery Mode: Instructor-led
  • Structure: Concept → Code Demo → Hands-on → Review
  • Recommended Pace: 2 hrs/weekend × 12 weeks

 

🧱 Course Modules

📘 Module 1: Introduction to Terraform & IaC (1.5 hrs)

  • What is Infrastructure as Code (IaC) and why it matters

  • Terraform vs CloudFormation, Ansible

  • Terraform architecture overview

  • Installing Terraform and AWS CLI

  • Writing your first configuration: Launch an EC2 instance

📘 Module 2: Terraform Language & Core Concepts (2 hrs)

  • HCL syntax: resources, variables, outputs

  • Providers and data sources

  • Implicit vs explicit dependencies

  • Terraform CLI workflow: init, plan, apply, destroy

  • Best practices for clean code

📘 Module 3: State Management & Backends (2 hrs)

  • What is Terraform state and why it matters

  • Local vs remote state

  • Setting up remote state with AWS S3 and DynamoDB

  • State locking and backup

  • Common state commands and troubleshooting

📘 Module 4: Working with Modules (2 hrs)

  • Why use modules: reusability and structure

  • Creating custom modules

  • Using modules from Terraform Registry

  • Passing variables and outputs between modules

  • Organizing project code with nested modules

📘 Module 5: AWS Core Infrastructure Provisioning (3 hrs)

  • Setting up IAM credentials for Terraform

  • Creating VPC, subnets, and internet gateways

  • Launching EC2 instances with security groups

  • Managing S3 buckets, IAM roles and policies

  • Using data sources for dynamic values

📘 Module 6: Advanced AWS Resources (3 hrs)

  • Auto Scaling and Load Balancer setup

  • Creating RDS instances with subnet and security setup

  • Setting up CloudWatch monitoring and alerts

  • Using AWS Secrets Manager and SSM

  • Dynamic blocks and loops (count, for_each)

📘 Module 7: Multi-Environment Setup (2 hrs)

  • Using Terraform workspaces (dev/stage/prod)

  • Managing configs with tfvars files

  • Directory structure for environments

  • Handling secrets securely

  • Promoting changes safely across environments

📘 Module 8: CI/CD Integration with Terraform (3 hrs)

  • Automating Terraform with GitHub Actions / GitLab CI

  • Running fmt, validate, and plan in pipelines

  • Handling secrets securely in CI/CD

  • Approval steps and safe deployment practices

  • Full example of a PR-based apply workflow

📘 Module 9: Capstone Project & Certification Prep (3.5 hrs)

  • Terraform Associate exam overview & prep plan

  • Mock exam and review

  • Capstone project: build a complete AWS infrastructure (VPC, EC2, RDS, S3, IAM)

  • Code review and feedback

  • Interview prep and portfolio tips

  • Final Q&A and learning roadmap

 

🎓 Learning Outcomes

By the end of this course, you will be able to:

  • Build, manage, and scale infrastructure on AWS

  • Automate infrastructure deployments.

  • Be well-prepared for Terraform Associate Certification exam.

About the Trainer

Chandranath Mondal picture

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7 Courses

Chandranath Mondal

Master of Computer Applications (M.C.A.) in 2011

14 Years of Experience

Seasoned Cloud Infrastructure and DevOps Professional with 14+ years of industry experience. Having deep expertise on cloud computing technologies (AWS), programming languages (Python), IaC tools (Terraform, CloudFormation and Crossplane), Containerization technologies (Docker), Container orchestration technologies (Kubernetes), CICD tools (Jenkins, GitLab CI, GitHub Actions, Argo CD) etc. Checkout his LinkedIn profile "chandranathmondal" for more details.

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