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Cloud Masters Program

Master Cloud Computing with AWS, Azure, GCP, DevOps, Kubernetes, and Terraform. Become an expert cloud architect and engineer with hands-on projects.

Duration 5 Months ยท 200 Hours
Mode Live Online / Offline
1,900+ Students
280+ Partners
92% Placement

๐Ÿ“ˆ Your Market Value After This Course

Salary ranges are indicative estimates and vary by location, employer, experience, and qualifications. They are not guaranteed earnings or placement outcomes.

Fresher / Entry Level

โ‚น6 - 9 LPA

0-2 years experience

  • Junior Cloud Engineer
  • Cloud Support Associate

Senior / Expert Level

โ‚น22 - 50+ LPA

5+ years experience

  • Cloud Architect
  • Cloud Infrastructure Manager

๐ŸŽฏ Job Roles You Can Apply For

Cloud Architect
Cloud Engineer
DevOps Engineer
AWS Solutions Architect
Azure Administrator
GCP Engineer
Site Reliability Engineer (SRE)

โšก Skills You'll Master

AWS
Microsoft Azure
Google Cloud Platform
Terraform
Docker
Kubernetes
Jenkins/GitHub Actions
Linux
Python
Networking

๐Ÿ“š Complete Course Syllabus

Master every aspect with our comprehensive curriculum

Module 1: Cloud Computing Fundamentals

  • What is Cloud Computing - Definition & Evolution
  • Cloud Service Models - IaaS, PaaS, SaaS
  • Cloud Deployment Models - Public, Private, Hybrid
  • Benefits of Cloud Computing
  • Cloud Providers Overview - AWS, Azure, GCP
  • Global Infrastructure - Regions, Zones, Edge Locations
  • Cloud Economics - Capex vs Opex
  • Cloud Adoption Frameworks

Module 2: Linux & Scripting for Cloud

  • Linux Basics - Commands, File System, Permissions
  • User Management & Process Management
  • Package Management - apt, yum
  • Shell Scripting - Variables, Loops, Conditions
  • Cron Jobs & Task Automation
  • Python Basics for Cloud Automation
  • Working with APIs using Python
  • Git & GitHub for Version Control

Module 3: Networking & Security Basics

  • OSI & TCP/IP Models
  • Shared Responsibility Model
  • Identity & Access Management (IAM) Deep Dive
  • IP Addressing - IPv4, IPv6, Subnetting
  • Data Encryption - At Rest & In Transit
  • DNS, DHCP, HTTP/HTTPS Protocols
  • Key Management Services (KMS)
  • Virtual Private Cloud (VPC) Concepts
  • Firewalls, Security Groups, NACLs
  • Network Security - WAF, DDoS Protection
  • VPN, Direct Connect, ExpressRoute
  • Cloud Compliance - GDPR, HIPAA, SOC
  • Security Monitoring & Logging
  • Load Balancers & Content Delivery Networks (CDN)
  • SSL/TLS & Certificate Management
  • Disaster Recovery & Business Continuity

Module 4: AWS Cloud - Complete

  • AWS Global Infrastructure & Account Setup
  • IAM - Users, Groups, Roles, Policies
  • EC2 - Virtual Machines, AMI, Security Groups
  • Auto Scaling & Load Balancing (ALB/NLB)
  • S3 - Storage Classes, Versioning, Lifecycle
  • EBS & EFS - Block & File Storage
  • RDS, DynamoDB, Redshift - Databases
  • VPC - Subnets, Route Tables, NAT Gateway
  • Lambda - Serverless Computing
  • API Gateway & CloudFront
  • CloudFormation - Infrastructure as Code
  • Route 53 - DNS Service
  • CloudWatch & CloudTrail - Monitoring
  • EKS - Elastic Kubernetes Service

Module 5: Microsoft Azure - Complete

  • Azure Overview & Subscription Management
  • Azure Resource Manager (ARM)
  • Azure Virtual Machines & Scale Sets
  • Azure App Services - Web Apps, API Apps
  • Azure Functions - Serverless
  • Azure Storage - Blob, Table, Queue, Files
  • Azure SQL Database & Cosmos DB
  • Azure Virtual Network (VNet)
  • Azure Load Balancer & Application Gateway
  • Azure Active Directory (AD)
  • Azure Kubernetes Service (AKS)
  • Azure DevOps & Pipelines

Module 6: Google Cloud Platform - Complete

Module 7: Infrastructure as Code (Terraform)

  • Introduction to IaC & Terraform
  • Terraform Installation & Providers
  • Terraform Configuration Language (HCL)
  • Resources, Variables, Outputs
  • Terraform State Management
  • Modules & Remote Backends
  • Terraform with AWS, Azure, GCP
  • Terraform Workspaces & Best Practices

Module 8: Docker & Containerization

  • Introduction to Docker & Containerization
  • Docker Architecture - Engine, Images, Containers
  • Docker Commands - run, ps, stop, rm, rmi
  • Dockerfile - Building Custom Images
  • Docker Networking & Volumes
  • Docker Compose - Multi-container Apps
  • Docker Registry & Docker Hub
  • Docker Security Best Practices

Module 9: Kubernetes Orchestration

  • Introduction to Kubernetes & Architecture
  • kubectl Commands & CLI Basics
  • Pods, Deployments, ReplicaSets
  • Services - ClusterIP, NodePort, LoadBalancer
  • ConfigMaps & Secrets
  • Ingress Controllers
  • Persistent Volumes & Claims
  • Helm - Kubernetes Package Manager
  • Minikube & Managed Kubernetes (EKS, AKS, GKE)
  • Kubernetes Monitoring & Logging

Module 10: CI/CD & DevOps on Cloud

  • What is CI/CD - Continuous Integration & Delivery
  • Jenkins - Setup, Pipelines, Plugins
  • GitLab CI/CD
  • GitHub Actions
  • AWS CodePipeline & CodeBuild
  • Azure DevOps Pipelines
  • Infrastructure as Code (IaC) with CDK
  • Blue-Green & Canary Deployments

Module 11: Cloud Security & Compliance

Module 12: Cloud Architecture & Design

  • Well-Architected Framework
  • High Availability & Fault Tolerance
  • Scalability - Vertical vs Horizontal
  • Cost Optimization Strategies
  • Microservices Architecture on Cloud
  • Serverless Architecture Patterns
  • Cloud Migration Strategies

Module 13: Multi-Cloud & Hybrid Cloud

  • Multi-Cloud Strategy - Benefits & Challenges
  • Hybrid Cloud Architecture
  • Cloud Interoperability
  • AWS Outposts & Azure Stack
  • Multi-cloud Management Tools

Module 14: Real-World Cloud Projects

  • Project 1: Deploy Web App on AWS EC2
  • Project 2: Serverless App with AWS Lambda
  • Project 3: Containerized App on EKS/AKS/GKE
  • Project 4: Infrastructure as Code with Terraform
  • Project 5: CI/CD Pipeline Setup
  • Capstone Project - Complete Cloud Migration

โญ Why Choose Viroha Academy?

Explore the learning support and course features listed below.

Expert Trainers

Learn from certified cloud professionals with 12+ years of industry experience

Hands-on Projects

Work on 8+ real-time cloud projects across AWS, Azure, and GCP

Industry Certification

Prepare for AWS, Azure, and GCP certification exams

100% Placement Support

Tie-ups with 280+ companies for cloud roles

Resume Building

Professional resume & portfolio with cloud projects

Mock Interviews

Regular mock interviews with detailed feedback

๐Ÿ’ป Real-Time Projects

Build impressive portfolio with industry-relevant projects

Three-Tier Web App on AWS

Deploy a scalable three-tier web application using EC2, RDS, S3, and Load Balancer with Auto Scaling.

AWS EC2 RDS S3 ELB Auto Scaling

Containerized Microservices on Kubernetes

Build and deploy containerized microservices on EKS/AKS/GKE with service discovery and ingress.

Docker Kubernetes Helm GitHub Actions

Multi-Cloud Infrastructure with Terraform

Create complete infrastructure across AWS and Azure using Terraform for high availability.

Terraform AWS Azure HCL CI/CD

๐Ÿš€ Career Support

Contact Viroha Academy to discuss the career guidance available for this course.

Ask our team about course-specific career preparation and available support.

Contact Viroha Academy
Our Top Hiring Partners

โ“ Frequently Asked Questions

Got questions? We've got answers

What are the prerequisites for Cloud Masters program?
Basic computer knowledge and some programming experience are helpful. We cover everything from fundamentals.
What is the duration of the program?
The program duration is 5 months (200 hours) with flexible batch timings.
Will I learn all three cloud platforms?
Yes, the program covers AWS, Microsoft Azure, and Google Cloud Platform in depth.
What projects will I build?
You will build 8+ projects including web app deployment, containerized apps, and multi-cloud infrastructure.
Is placement assistance provided?
Yes, we provide 100% placement assistance with 280+ hiring partners.

๐Ÿš€ Ready to Start Your Cloud Masters Journey?

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