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TERRAFORM – INFRASTRUCTURE AS CODE (IAC) – MULTI CLOUD ( AWS | AZURE | GCP )
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4.5 (2687 Ratings)
The Terraform – Infrastructure as Code (IaC) – Multi Cloud (AWS | Azure | GCP) course is designed for professionals who want to automate cloud infrastructure deployment across multiple cloud platforms using Terraform. The training covers Infrastructure as Code (IaC), Terraform configuration, modules, state management, provisioning, cloud resource automation, multi-cloud deployments, and DevOps best practices. Through hands-on labs and real-world projects, learners gain practical experience in creating, managing, and scaling infrastructure on AWS, Microsoft Azure, and Google Cloud Platform. As infrastructure automation is a core DevOps skill, this course is ideal for DevOps engineers, cloud engineers, system administrators, infrastructure professionals, platform engineers, and IT professionals looking to build expertise in multi-cloud infrastructure automation.
Duration of Training : 40 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Overview
The Syllabus
Curriculum Designed by Experts
🔷 PHASE 1: Fundamentals
📘 Topic: Introduction to IaC
🔹 What is taught:
Infrastructure as Code (IaC) is the practice of managing infrastructure using code instead of manual configuration. Learners understand how automation reduces errors, improves consistency, and enables faster deployments.
📚 Subtopics (Detailed):
Imperative vs Declarative:
Imperative defines how to create resources step-by-step, while declarative defines what the final state should be. Terraform follows a declarative model, making it easier to manage infrastructure at scale.
Idempotency:
Running the same Terraform code multiple times produces the same result without duplication. This ensures safe re-deployments and stability.
Drift Detection:
Terraform detects differences between actual infrastructure and defined configuration.
This helps maintain consistency and avoid manual changes.
🛠 Practical:
Install Terraform
Run first configuration (terraform init/plan/apply)
🔷 PHASE 2: Terraform Core Concepts
📘 Topic: Terraform Architecture
🔹 What is taught:
Understanding how Terraform interacts with cloud providers via plugins (providers) and
manages infrastructure lifecycle.
📚 Subtopics (Detailed):
Providers:
Providers are plugins that allow Terraform to interact with AWS, Azure, and GCP
APIs. Each provider translates Terraform code into cloud-specific actions.
Resources:
Resources define infrastructure components like VMs, networks, and storage. Each
resource block represents a real cloud object.
Variables & Outputs:
Variables make code reusable and dynamic, while outputs expose important
information like IP addresses or URLs after deployment.
Lifecycle Commands:
init → initializes project
plan → previews changes
apply → creates resources
destroy → deletes infrastructure
🛠 Lab:
Create VM + network using Terraform
🔷 PHASE 3: Terraform State Management
📘 Topic: State File Management
🔹 What is taught:
Terraform uses a state file to track infrastructure and map resources to real-world objects.
📚 Subtopics (Detailed):
Local vs Remote State:
Local state is stored on a machine, while remote state is stored in cloud storage for
team collaboration.
Backend Configuration:
Configure remote backends like AWS S3, Azure Storage, or GCP GCS to securely
store state files.
State Locking:
Prevents multiple users from modifying infrastructure simultaneously, avoiding
conflicts.
🛠 Assignment:
Configure remote backend
Simulate state drift and fix it
🔷 PHASE 4: Terraform Modules
📘 Topic: Modular Infrastructure
🔹 What is taught:
Modules help break large infrastructure into reusable, manageable components.
📚 Subtopics (Detailed):
Reusable Modules:
Create reusable code for components like VPCs or VM setups.
Input/Output Variables:
Pass parameters into modules and retrieve outputs for reuse.
Module Versioning:
Maintain different versions of modules for stability and reuse across projects.
🛠 Assignment:
Build reusable VPC module
Use module across dev/prod environments
🔷 PHASE 5: Terraform for AWS
📘 Topic: AWS Infrastructure Provisioning
🔹 What is taught:
Using Terraform to automate AWS infrastructure setup.
📚 Subtopics (Detailed):
VPC & Networking:
Create isolated networks, subnets, route tables, and gateways.
Compute (EC2):
Launch virtual machines and configure them.
Security Groups:
Control inbound/outbound traffic for resources.
IAM:
Manage roles and permissions securely.
🛠 Lab:
Deploy scalable web application on AWS
🔷 PHASE 6: Terraform for Azure
📘 Topic: Azure Infrastructure Provisioning
🔹 What is taught:
Automating Azure resources using Terraform.
📚 Subtopics (Detailed):
Resource Groups:
Logical grouping of resources for management.
Virtual Network (VNet):
Networking setup for communication between resources.
Virtual Machines:
Deploy and manage compute resources.
Network Security Groups:
Control network-level security.
🛠 Lab:
Deploy Azure-based application
🔷 PHASE 7: Terraform for GCP
📘 Topic: GCP Infrastructure Provisioning
🔹 What is taught:
Provisioning infrastructure in GCP using Terraform.
📚 Subtopics (Detailed):
VPC Networks:
Define network boundaries and routing.
Compute Engine:
Launch VM instances.
IAM:
Manage access control and permissions.
🛠 Lab:
Deploy application on GCP
🔷 PHASE 8: Multi-Cloud Architecture
📘 Topic: Multi-Cloud Design
🔹 What is taught:
Designing systems that run across AWS, Azure, and GCP.
📚 Subtopics (Detailed):
Multi-Provider Configuration:
Use multiple providers in one Terraform project.
Environment Separation:
Separate dev, test, and production environments.
Standardization:
Use common modules and naming conventions across clouds.
🛠 Assignment:
Deploy same app across all three clouds
🔷 PHASE 9: Advanced Terraform
📘 Topic: Advanced Coding Techniques
🔹 What is taught:
Writing efficient and dynamic Terraform code.
📚 Subtopics (Detailed):
Dynamic Blocks:
Generate repeated configurations dynamically.
Conditionals:
Apply logic to infrastructure creation.
Loops (count, for_each):
Create multiple resources efficiently.
Provisioners:
Execute scripts during resource creation.
🛠 Assignment:
Automate complex infrastructure
🔷 PHASE 10: CI/CD Integration
📘 Topic: Infrastructure Pipelines
🔹 What is taught:
Automating Terraform deployments using CI/CD tools.
📚 Subtopics (Detailed):
Git Integration:
Store Terraform code in version control.
Pipeline Stages:
Plan → approval → apply
Automation with Jenkins:
Use Jenkins to run pipelines.
🛠 Lab:
Build Terraform CI/CD pipeline
🔷 PHASE 11: Security & Best Practices
📘 Topic: Terraform Security
🔹 What is taught:
Securing infrastructure and Terraform configurations.
📚 Subtopics (Detailed):
Secrets Management:
Avoid hardcoding credentials; use secure methods.
IAM Best Practices:
Apply least privilege access.
State Security:
Encrypt and protect state files.
🔷 PHASE 12: Monitoring & Cost Optimization
📘 Topic: Cost & Performance
🔹 What is taught:
Optimizing infrastructure for cost and efficiency.
📚 Subtopics (Detailed):
Resource Tagging:
Track resources by project/team.
Cost Estimation:
Predict expenses before deployment.
Optimization:
Right-size resources and remove unused ones.
🔷 🚀 Capstone Projects
Multi-cloud application deployment
CI/CD automation pipeline
Modular infrastructure framework
Secure cloud architecture
🔷 🏢 Real Job Scenarios
Debug failed deployments
Recover state issues
Fix security misconfigurations
Optimize cloud costs
Handle multi-cloud consistency
🔥 Final Outcome
Learners will be able to:
✔ Automate infrastructure across AWS, Azure, GCP
✔ Write reusable Terraform modules
✔ Build CI/CD pipelines
✔ Handle real-time production issues
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Infrastructure as Code (IaC) – Multi cloud ( AWS | AZURE | GCP ) Course Certification with Training In Kochi
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