Cloud Computing Master Course
Master Cloud Computing with AWS, Azure, Google Cloud Platform. Learn compute, storage, networking, security, and become a certified cloud professional.
๐ 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
0-2 years experience
- Junior Cloud Engineer
- Cloud Support Associate
Mid Level
2-5 years experience
- Cloud Engineer
- AWS Solutions Architect
Senior / Expert Level
5+ years experience
- Senior Cloud Architect
- Cloud Infrastructure Manager
๐ฏ Job Roles You Can Apply For
โก Skills You'll Master
๐ 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
๐ป 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.
Serverless Application with AWS Lambda
Build a serverless image processing application using AWS Lambda, S3, and API Gateway.
Infrastructure as Code with Terraform
Create complete AWS infrastructure using Terraform including VPC, EC2, RDS, and Security Groups.
๐ 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.
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โ Frequently Asked Questions
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๐ Ready to Start Your Cloud Computing Journey?
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