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WeekEnd Online/Offline Live Training

MASTER AI POWERED MULTI - CLOUD ( AWS, AZURE WITH TERRAFORM )

WEEKEND CERTIFICATION PROGRAM

even if you are a beginner & don't have any technical knowledge.

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FULL PAYMENT

  • Cost:₹ 6,000

  • Details: Pay upfront and secure your spot in the course.

INSTALLMENT PAYMENT

  • Cost:Two installments of ₹3,000 each

  • Details:First Installment: Due at the time of registration. Second Installment: Due within 30 days of the course start date.

What You'll Learn in this Program

AWS Cloud

Azure Cloud

Terraform

🤖 AI Tools Involved

AWS Kiro

Claude

Amazon Q

WorKiK

Github Copilot

Azure Copilot

Google Duet AI

TGPT

Module 1 : Linux

  • Linux Overview

  • What is Operating System

  • What is Unix, Linux

  • Linux vs Windows

  • Linux Flavors

  • Linux Architecture

  • Linux Commands

  • Reading Files

  • Redirection Operators

  • User Management

  • Group Management

  • File System Management

  • Editors

Module 2: AWS Cloud

  • Introduction to Cloud Computing

  • AWS Services

  • VM Creation in AWS

  • Elastic Compute Cloud (EC2)

  • AWS Regions and Availability Zones

  • Amazon Machine Images (AMI)

  • EC2 Instances

  • Amazon Elastic Block Store (EBS)

  • Load Balancing (ELB)

  • Auto Scaling

  • Network & Security

  • Amazon Virtual Private Cloud (VPC)

  • Amazon Route 53

  • Identity Access Management (IAM)

  • Amazon S3

  • Relational Database Service (RDS)

  • Amazon Cloud Watch

  • Cloud Formation

  • Amazon Simple Queue Service (SQS)

  • Elastic Bean Stalk

  • AWS Lambdas

Module 3: Azure Cloud

  • Introduction

  • Azure Essentials

  • Azure Virtual Machines

  • Azure ARM Template

  • Azure Tags

  • Azure Network Security Group

  • Azure Virtual Machine User Data & Custom Data

  • Azure Load Balancer

  • Azure Scale Set

  • Azure Resource Locks

  • Azure Functions

  • Azure Kubernetes Services

  • Azure Networking

  • Bastion Server/ Jump Host in Azure

  • Azure Native Bastion Service

  • VNet Peering

  • Public DNS Zone

  • Azure + Terraform

Module 4 : Terraform (Infrastructure as code - IAS)

  • Challenges with Traditional IT Infrastructure

  • Types of IAC Tools

  • Why Terraform?

  • Installing Terraform

  • HashiCorp Configuration Language (HCL) Basics

  • Update and Destroy Infrastructure

  • Using Terraform Providers

  • Configuration Directory

  • Multiple Providers

  • Using Input Variables

  • Understanding the Variable Block

  • Using Variables in Terraform

  • Resource Attributes

  • Resource Dependencies

  • Output Variables

  • Introduction to Terraform State

  • Purpose of State

  • Terraform State Considerations

  • Terraform Commands

  • Mutable vs Immutable Infrastructure

  • LifeCycle Rules

  • Datasources

  • Meta-Arguments

  • Count

  • for-each

  • Version Constraints

  • Getting Started with AWS

  • Demo Setup an AWS Account

  • Introduction to IAM

  • Demo IAM

  • Programmatic Access

  • AWS IAM with Terraform

  • IAM Policies with Terraform

  • Introduction to AWS S3

  • S3 with Terraform

  • Introduction to DynamoDB

  • Demo Dynamodb

  • DynamoDB with Terraform

  • What is Remote State and State Locking?

  • Remote Backends with S3

  • Terraform State Commands

  • Introduction to AWS EC2

  • Demo: Deploying an EC2 Instance

  • AWS EC2 with Terraform

  • Terraform Provisioners

  • Provisioner Behaviour

  • Considerations with Provisioners

  • Terraform Taint

  • Debugging

  • Terraform Import

  • What are Modules?

  • Creating and Using a Module

  • Using Modules from the Registry

  • More Terraform Functions

  • Conditional Expressions

  • Terraform Workspaces (OSS)

Module 5: AI Tools

  • AWS Kiro

  • Amazon Q

  • Azure Copilot

  • Google Duet AI

  • Workik (Terraform)

  • Github Copilot(code suggestion, etc..)

  • Azure Copilot (Azure,Bicep)

  • Google Duet AI (GCP infra and Kubernetes)

Module 6: Real-time Projects

  • Real-World 3-Tier Web App Deployment on AWS

  • Deploying a Two-Tier WordPress Application & Making it Highly Available

  • Deploy EpicBooks (Monolith) Application

  • Deploy a 3-Tier Architecture in Azure Using Terraform

Module 7: Interview Guide

  • Resume Preparation

  • Frequently Asked Interview Questions

  • Mock Interviews

  • LinkedIn Optimization

Why These AI Tools?

☁ Cloud AI Assistants

Tools:

  • AWS Kiro, Amazon Q, Azure Copilot, Google Duet AI

Focus:

  • Generate Infrastructure as Code

  • Debug cloud issues

  • Cost optimization

  • Kubernetes YAML generation

🛠 Terraform Automation

Tools:

  • Workik

Focus:

  • Generate Terraform modules

  • Improve security

  • Fix configuration errors

</> AI Code Assistants

Tools:

  • GitHub Copilot, Claude

Focus:

  • Code suggestions

  • Dockerfile generation

  • CI/CD pipeline creation

  • Documentation automation

>_ Terminal Enhancement

Tools:

  • TGPT (Terminal GPT)

Focus:

  • Linux command help

  • Shell scripting

  • Log analysis

  • Server troubleshooting

Capstone Projects

Real-World 3-Tier Web App Deployment on AWS

Tech Stack Used Here:

Objective:

Design and deploy a production-ready 3-tier web application architecture on AWS with proper network isolation, security, and scalability.

Implementation:

  • Design 3-Tier Architecture (Presentation, Application, Database)

  • Create custom VPC with Public & Private Subnets

  • Configure Internet Gateway & NAT Gateway

  • Launch EC2 instance for Frontend (Public Subnet)

  • Launch EC2 instance for Backend (Private Subnet)

  • Set up Amazon RDS in Private Subnet

  • Configure Application Load Balancer

  • Implement Security Groups & IAM Roles

  • Deploy application manually on EC2

  • Enable monitoring using CloudWatch

Deploying a Two-Tier WordPress Application & Making it Highly Available

Tech Stack Used Here:

Objective:

Deploy a production-ready Two-Tier WordPress application on AWS and configure High Availability with load balancing and auto scaling.

Implementation:

  • Design Two-Tier Architecture (Web Tier + Database Tier)

  • Create Custom VPC with Public & Private Subnets (Multi-AZ)

  • Launch EC2 instances for WordPress (Web Tier)

  • Install Apache, PHP & WordPress on EC2

  • Configure Amazon RDS (MySQL) in Private Subnet

  • Set up Application Load Balancer (ALB)

  • Configure Auto Scaling Group for Web Tier

  • Store media files using Amazon S3 (optional enhancement)

  • Configure Security Groups & IAM Roles

  • Enable CloudWatch Monitoring & Health Checks

Deploy EpicBooks (Monolith) Application

Tech Stack Used Here:

Objective:

Deploy the EpicBooks monolithic application on AWS with proper networking, security configuration, and database integration.

Implementation:

  • Design Monolithic Architecture (Single Application Server)

  • Create Custom VPC with Public & Private Subnets

  • Launch EC2 Instance for Application Deployment

  • Install Runtime (Java / Node / Python) on EC2

  • Deploy EpicBooks application manually via Git & SSH

  • Configure Amazon RDS in Private Subnet

  • Connect Application to Database

  • Configure Security Groups & IAM Roles

  • Store static assets in Amazon S3 (Optional)

  • Enable Monitoring using CloudWatch

Deploy a 3-Tier Architecture in Azure Using Terraform

Tech Stack Used Here:

Objective:

Provision and deploy a scalable 3-tier architecture in Microsoft Azure using Terraform for automated and consistent infrastructure deployment.

Implementation:

  • Design 3-Tier Architecture (Web, App, Database)

  • Create Azure Virtual Network (VNet) with Subnets

  • Configure Network Security Groups (NSG)

  • Provision Virtual Machines using Terraform

  • Deploy Frontend in Web Tier (Public Subnet)

  • Deploy Backend in Application Tier (Private Subnet)

  • Provision Azure SQL Database in Database Tier

  • Configure Azure Load Balancer / Application Gateway

  • Implement RBAC for secure access

  • Enable Azure Monitor for logging & metrics

Who Should Attend?

System Administrators

Application Developers

Cloud Professionals

Software Engineers

Looking for DevOps Internship

Infrastructure Architects

Individuals aiming to build credibility and value as experienced DevOps professionals.

Freshers

Security Engineers

Practitioners

Site Reliability Engineers

Solution architects

Technical Leads

Aspirants looking to work as DevOps professionals

Bonus Features

Real-World Projects

Automated CI/CD pipeline for real-time code integration and deployment.

Lifetime

Access

Materials and recordings are available even after the training ends.

Free

Support

Post-training, we will provide end to end guidance for placement

Attend any

Batch

If you have enrolled in a batch, you can attend other batch for free.

Why Attend This Training?

  • Expert Instruction: Learn from industry professionals who bring real-world experience.

  • Career-Boosting Skills: Mastering devops with aws is a must-have skill for developers and tech professionals.

  • Interactive & Hands-On: Experience real-world scenarios, exercises, and guidance from industry experts.

  • Networking Opportunities: Connect with peers and expand your professional network.

  • Supportive Community: Join a collaborative environment for sharing knowledge and resources.

  • Certification: Receive a training and internship certificate of completion to boost your resume and showcase your new skills.

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Frequently Asked Questions

Will I get a certificate?

Yes! A certificate is awarded to those who successfully complete the training.

Do I need any prior experience?

No, this training is designed for beginners to advanced learners.

Will I have lifetime access to the training materials?

Yes, you will have lifetime access to the training materials.

Is support provided after training?

Yes. For those who enrolled in this training will be added to a community where technical support team members will answer your queries.