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Cloud Computing Master Course

Master Cloud Computing with AWS, Azure, Google Cloud Platform. Learn compute, storage, networking, security, and become a certified cloud professional.

Duration 3.5 Months ยท 110 Hours
Mode Live Online / Offline
3,100+ Students
340+ Partners
89% 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‚น4.5 - 7 LPA

0-2 years experience

  • Junior Cloud Engineer
  • Cloud Support Associate

Senior / Expert Level

โ‚น18 - 40+ LPA

5+ years experience

  • Senior Cloud Architect
  • Cloud Infrastructure Manager

๐ŸŽฏ Job Roles You Can Apply For

Cloud Engineer
AWS Solutions Architect
Azure Administrator
Cloud DevOps Engineer
Cloud Security Engineer
Cloud Consultant

โšก Skills You'll Master

AWS
Microsoft Azure
Google Cloud Platform
EC2 & Compute
S3 & Storage
VPC & Networking
Lambda
Terraform
Kubernetes
Cloud Security

๐Ÿ“š Complete Course Syllabus

Master every aspect with our comprehensive curriculum

Module 1: Introduction to Cloud Computing

  • What is Cloud Computing - Definition & Evolution
  • Cloud Computing vs Traditional IT
  • Benefits of Cloud Computing
  • Cloud Service Providers Overview - AWS, Azure, GCP
  • Global Infrastructure - Regions, Availability Zones
  • Cloud Adoption & Future Trends

Module 2: Cloud Computing Models & Services

  • Service Models - IaaS, PaaS, SaaS Explained
  • Deployment Models - Public, Private, Hybrid, Community
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Serverless Computing
  • Cloud Pricing Models - Pay-as-you-go, Reserved, Spot

Module 3: AWS - Compute Services

  • AWS Account Setup & IAM Basics
  • EC2 - Elastic Compute Cloud
  • EC2 Instance Types, AMI, Security Groups
  • Auto Scaling - Scaling Policies
  • Elastic Load Balancing (ELB)
  • Lambda - Serverless Functions
  • Elastic Beanstalk - PaaS
  • EKS - Elastic Kubernetes Service

Module 4: AWS - Storage Services

  • S3 - Simple Storage Service
  • S3 Buckets, Objects, Versioning
  • S3 Storage Classes - Standard, Glacier, Intelligent-Tiering
  • EBS - Elastic Block Store
  • EFS - Elastic File System
  • RDS - Relational Database Service
  • DynamoDB - NoSQL Database
  • Data Transfer - Snowball, DataSync

Module 5: AWS - Networking & Security

  • VPC - Virtual Private Cloud
  • Shared Responsibility Model
  • Subnets, Route Tables, Internet Gateway
  • Identity & Access Management (IAM) Deep Dive
  • NAT Gateway & NAT Instance
  • Data Encryption - At Rest & In Transit
  • Security Groups vs NACLs
  • Key Management Services (KMS)
  • Network Security - WAF, DDoS Protection
  • VPC Peering & VPN Connections
  • Cloud Compliance - GDPR, HIPAA, SOC
  • Route 53 - DNS Service
  • CloudFront - CDN Service
  • Security Monitoring & Logging
  • Disaster Recovery & Business Continuity
  • IAM - Identity & Access Management
  • KMS - Key Management Service

Module 6: Microsoft Azure

  • Introduction to Microsoft Azure
  • Azure Virtual Machines (VMs)
  • Azure App Services - Web Apps
  • Azure Functions - Serverless
  • Azure Storage - Blob, Table, Queue, Files
  • Azure SQL Database
  • Azure Virtual Network
  • Azure Active Directory (AD)
  • Azure Kubernetes Service (AKS)

Module 7: Google Cloud Platform (GCP)

  • Introduction to Google Cloud Platform
  • Compute Engine - VMs
  • App Engine - PaaS
  • Cloud Functions - Serverless
  • Cloud Storage - Buckets
  • Cloud SQL & BigQuery
  • VPC & Cloud Networking
  • Google Kubernetes Engine (GKE)
  • IAM & Security in GCP

Module 8: Cloud Security & Compliance

Module 9: Cloud DevOps & Automation

  • Introduction to Cloud DevOps
  • Infrastructure as Code (IaC) - Terraform
  • AWS CloudFormation
  • CI/CD Pipelines - Jenkins, GitLab, GitHub Actions
  • Containerization - Docker on Cloud
  • Kubernetes on Cloud (EKS, AKS, GKE)
  • Monitoring & Logging - CloudWatch, Prometheus

Module 10: 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 11: Multi-Cloud & Hybrid Cloud

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

Module 12: Real-Time Projects

  • Project 1: Deploy Web App on AWS EC2
  • Project 2: Serverless Application with AWS Lambda
  • Project 3: Cloud Storage Solution with S3
  • Project 4: Deploy Containerized App on EKS
  • Project 5: Infrastructure as Code with Terraform
  • 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 10+ years of industry experience

Hands-on Labs

Practice on real cloud environments - AWS, Azure, GCP

Industry Certification

Prepare for AWS, Azure, GCP certification exams

100% Placement Support

Tie-ups with 340+ 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

Web App Deployment on AWS

Deploy a scalable web application on AWS using EC2, RDS, S3, and Load Balancer with Auto Scaling.

AWS EC2 RDS S3 ELB Auto Scaling

Serverless Application with AWS Lambda

Build a serverless image processing application using AWS Lambda, S3, and API Gateway.

AWS Lambda S3 API Gateway CloudWatch

Infrastructure as Code with Terraform

Create complete AWS infrastructure using Terraform including VPC, EC2, RDS, and Security Groups.

Terraform AWS HCL CLI

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 Computing course?
Basic knowledge of computers and networking is helpful. We cover everything from fundamentals.
What is the duration of the course?
The course duration is 3.5 months (110 hours) with flexible batch timings.
Will I learn multiple cloud platforms?
Yes, the course covers AWS, Microsoft Azure, and Google Cloud Platform.
What projects will I build?
You will build 6+ projects including web app deployment, serverless apps, and IaC.
Is placement assistance provided?
Yes, we provide 100% placement assistance with 340+ hiring partners.

๐Ÿš€ Ready to Start Your Cloud Computing Journey?

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