About This Course
Cloud Computing: Master AWS, Azure & Google Cloud
This comprehensive cloud computing course takes you from cloud fundamentals to advanced deployment strategies across major platforms. You'll learn essential cloud concepts including virtualization, storage solutions, networking, and security. Master AWS services like EC2, S3, Lambda, RDS, and VPC. Explore Microsoft Azure with Virtual Machines, App Services, and Azure Functions. Dive into Google Cloud Platform with Compute Engine, Cloud Storage, and Kubernetes Engine. Understand containerization with Docker, orchestration with Kubernetes, and implement CI/CD pipelines. Learn infrastructure as code with Terraform, monitoring with CloudWatch, cost optimization strategies, and cloud security best practices. Build real-world projects and gain hands-on experience deploying scalable, secure cloud applications. ☁️
Course Benefits
- 30+ hrs of Training
- Multi-cloud certification prep
- Real cloud deployments
- Industry projects
- Lifetime LMS Access
- Expert cloud instructors
Course Curriculum
1. Cloud Computing Fundamentals
- Cloud Basics – Understanding cloud computing models, benefits, and service types (IaaS, PaaS, SaaS)
- Deployment Models – Public, private, hybrid, and multi-cloud architectures
- Virtualization – Virtual machines, hypervisors, and resource management
- Cloud Economics – Cost models, pricing strategies, and ROI calculations
2. Amazon Web Services (AWS)
- AWS Core Services – EC2 instances, S3 storage, RDS databases, and VPC networking
- Serverless Computing – Lambda functions, API Gateway, and event-driven architecture
- Security & IAM – Identity management, policies, roles, and security groups
- Auto Scaling & Load Balancing – Elastic Load Balancer, Auto Scaling groups, and high availability
3. Microsoft Azure
- Azure Services – Virtual Machines, App Services, Azure Storage, and SQL Database
- Azure Functions – Serverless computing on Azure and integration services
- Azure Active Directory – Identity management and authentication
- Azure DevOps – CI/CD pipelines, repos, and deployment strategies
4. Google Cloud Platform (GCP)
- GCP Core Services – Compute Engine, Cloud Storage, Cloud SQL, and Cloud Functions
- Kubernetes Engine – Container orchestration and management on GCP
- BigQuery & Analytics – Data warehousing and analytics services
- GCP Networking – VPC, Cloud Load Balancing, and Cloud CDN
5. Containers & Orchestration
- Docker Fundamentals – Images, containers, Dockerfile, and Docker Compose
- Kubernetes Basics – Pods, services, deployments, and replica sets
- K8s Advanced – ConfigMaps, secrets, persistent volumes, and ingress
- Container Registry – Docker Hub, ECR, ACR, and GCR management
6. DevOps & Infrastructure as Code
- CI/CD Pipelines – Jenkins, GitLab CI, GitHub Actions, and Azure Pipelines
- Terraform – Infrastructure as code, providers, modules, and state management
- Monitoring & Logging – CloudWatch, Azure Monitor, Stackdriver, and centralized logging
- Security Best Practices – Cloud security, compliance, encryption, and disaster recovery
Requirements
- Basic understanding of computer networks and operating systems
- Familiarity with Linux command line (helpful but not required)
- Computer with internet connection for cloud access
- Willingness to learn cloud technologies and DevOps practices
Material Includes
- 30+ Hours of Video Lectures by Cloud Certified Trainer
- Lifetime LMS Access
- Hands-on Cloud Labs & Projects
- Cloud Architecture Diagrams & Templates
- Certification Exam Preparation
Why Choose This Course
Multi-Cloud Expertise
Learn AWS, Azure, and Google Cloud - all three major platforms in one course
Hands-On Labs
Practice with real cloud environments and build production-ready deployments
Certification Ready
Prepare for AWS, Azure, and GCP certification exams with expert guidance
DevOps Integration
Master CI/CD, Docker, Kubernetes, and infrastructure automation
Cloud Security
Learn security best practices, IAM, encryption, and compliance standards
Cost Optimization
Understand cloud pricing and implement cost-effective architectures
Cloud Platforms You'll Master
Amazon Web Services
EC2, S3, Lambda, RDS, VPC, IAM
Microsoft Azure
Virtual Machines, App Services, Azure Functions
Google Cloud Platform
Compute Engine, Kubernetes Engine, BigQuery
Docker
Containerization & Images
Kubernetes
Container orchestration
Terraform
Infrastructure as Code
Ready to Master Cloud Computing?
Join 1,500+ students building scalable cloud applications. Launch your cloud career with AWS, Azure, and Google Cloud expertise.