Radical Technologies
CLOUD COMPUTING - AZURE
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(2,095 ratings)  50,000+ Student

TERRAFORM - INFRASTRUCTURE AS CODE (IAC) – MULTI CLOUD ( AWS | AZURE | GCP )

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.

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Radical Technologies
50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

TERRAFORM - INFRASTRUCTURE AS CODE (IAC) – MULTI CLOUD ( AWS | AZURE | GCP )

IT Training Programme

Duration 40 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

15 sections covering the complete curriculum β€” a single, progressive learning arc.

40 hours
Training Duration
15
Core Modules
113
Total Lessons
4.4β˜…
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture β€” the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today β€” this programme is built to take you into a CLOUD COMPUTING - AZURE role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

15 sections  β€’  113 lessons  β€’  40 hours

01 πŸ”· PHASE 1: Fundamentals

πŸ“˜ Topic: Introduction to IaC

πŸ”Ή 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.

πŸ“š 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.

πŸ›  Practical:

Install Terraform
Run first configuration (terraform init/plan/apply)
02 πŸ”· PHASE 2: Terraform Core Concepts

πŸ“˜ Topic: Terraform Architecture

πŸ”Ή What is taught:

Understanding how Terraform interacts with cloud providers via plugins (providers) and
manages infrastructure lifecycle.

πŸ“š 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 β†’ initializes project
plan β†’ previews changes
apply β†’ creates resources
destroy β†’ deletes infrastructure

πŸ›  Lab:

Create VM + network using Terraform
03 πŸ”· PHASE 3: Terraform State Management

πŸ“˜ Topic: State File Management

πŸ”Ή What is taught:

Terraform uses a state file to track infrastructure and map resources to real-world objects.

πŸ“š 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.

πŸ›  Assignment:

  • Configure remote backend
  • Simulate state drift and fix it
04 πŸ”· PHASE 4: Terraform Modules

πŸ“˜ Topic: Modular Infrastructure

πŸ”Ή What is taught:

Modules help break large infrastructure into reusable, manageable components.

πŸ“š 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.

πŸ›  Assignment:

  • Build reusable VPC module
  • Use module across dev/prod environments
05 πŸ”· PHASE 5: Terraform for AWS

πŸ“˜ Topic: AWS Infrastructure Provisioning

πŸ”Ή What is taught:

Using Terraform to automate AWS infrastructure setup.

πŸ“š 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.

πŸ›  Lab:

Deploy scalable web application on AWS
06 πŸ”· PHASE 6: Terraform for Azure

πŸ“˜ Topic: Azure Infrastructure Provisioning

πŸ”Ή What is taught:

Automating Azure resources using Terraform.

πŸ“š 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.

πŸ›  Lab:

Deploy Azure-based application
07 πŸ”· PHASE 7: Terraform for GCP

πŸ“˜ Topic: GCP Infrastructure Provisioning

πŸ”Ή What is taught:

Provisioning infrastructure in GCP using Terraform.

πŸ“š Subtopics (Detailed):

VPC Networks:
Define network boundaries and routing.

Compute Engine:

Launch VM instances.

IAM:

Manage access control and permissions.

πŸ›  Lab:

Deploy application on GCP
08 πŸ”· PHASE 8: Multi-Cloud Architecture

πŸ“˜ Topic: Multi-Cloud Design

πŸ”Ή What is taught:

Designing systems that run across AWS, Azure, and GCP.

πŸ“š 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.

πŸ›  Assignment:

  • Deploy same app across all three clouds
09 πŸ”· PHASE 9: Advanced Terraform

πŸ“˜ Topic: Advanced Coding Techniques

πŸ”Ή What is taught:

Writing efficient and dynamic Terraform code.

πŸ“š 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.

πŸ›  Assignment:

  • Automate complex infrastructure
10 πŸ”· PHASE 10: CI/CD Integration

πŸ“˜ Topic: Infrastructure Pipelines

πŸ”Ή What is taught:

Automating Terraform deployments using CI/CD tools.

πŸ“š Subtopics (Detailed):

Git Integration:

Store Terraform code in version control.

Pipeline Stages:

Plan β†’ approval β†’ apply
Automation with Jenkins:
Use Jenkins to run pipelines.

πŸ›  Lab:

Build Terraform CI/CD pipeline
11 πŸ”· PHASE 11: Security & Best Practices

πŸ“˜ Topic: Terraform Security

πŸ”Ή What is taught:

Securing infrastructure and Terraform configurations.

πŸ“š Subtopics (Detailed):

Secrets Management:

Avoid hardcoding credentials; use secure methods.

IAM Best Practices:

Apply least privilege access.

State Security:

Encrypt and protect state files.
12 πŸ”· PHASE 12: Monitoring & Cost Optimization

πŸ“˜ Topic: Cost & Performance

πŸ”Ή What is taught:

Optimizing infrastructure for cost and efficiency.

πŸ“š Subtopics (Detailed):

Resource Tagging:

Track resources by project/team.

Cost Estimation:

Predict expenses before deployment.

Optimization:

Right-size resources and remove unused ones.
13 πŸ”· πŸš€ Capstone Projects
Multi-cloud application deployment
CI/CD automation pipeline
Modular infrastructure framework
Secure cloud architecture
14 πŸ”· 🏒 Real Job Scenarios
Debug failed deployments
Recover state issues
Fix security misconfigurations
Optimize cloud costs
Handle multi-cloud consistency
15 πŸ”₯ Final Outcome
Learners will be able to:
βœ” Automate infrastructure across AWS, Azure, GCP
βœ” Write reusable Terraform modules
βœ” Build CI/CD pipelines
βœ” Handle real-time production issues

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

113+
Hands-On Lessons
15
Core Modules
40 hours
Training Duration
100%
Practical Training

You don't just learn TERRAFORM - INFRASTRUCTURE AS CODE (IAC) – MULTI CLOUD ( AWS | AZURE | GCP ). You ship it.

Three major projects, each mirroring how production teams actually work β€” from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

β†’Requirement Analysis

β†’Guided Implementation

β†’Mentor Review

β†’Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

β†’Scenario Design

β†’Independent Build

β†’Testing & Validation

β†’Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job β€” less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

β†’Planning

β†’End-to-End Build

β†’Review & Refinement

β†’Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project β€” plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume β€” reviewed by mentors before you graduate.

See Sample Project Reports

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No upcoming batches scheduled right now. Enquire to get notified.

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Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards β€” from cloud technologies to data science β€” empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

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At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

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Student Reviews

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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies