Cloud Computing

Master cloud platforms and services for scalable application deployment and management.

⏱️ 8-10 Weeks
📊 Intermediate to Advanced
🟠 AWS 🔵 Azure 🔴 Google Cloud 🐳 Docker
AWS
Azure
GCP
Docker

Master Cloud Platforms

Our comprehensive curriculum covers all major cloud platforms and modern deployment practices

🟠

AWS Services

Master Amazon Web Services including EC2, S3, Lambda, RDS, and advanced cloud architecture patterns.

🔵

Azure Platform

Learn Microsoft Azure services, virtual machines, Azure Functions, and enterprise cloud solutions.

🔴

Google Cloud

Build solutions with Google Cloud Platform, Compute Engine, Cloud Functions, and BigQuery.

🐳

Containerization

Master Docker containerization, orchestration with Kubernetes, and modern deployment workflows.

Course Curriculum

A comprehensive learning path from cloud fundamentals to advanced multi-cloud architecture

Module 1: Cloud Fundamentals & AWS Core Services

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  • Introduction to Cloud Computing Models
  • AWS Global Infrastructure and Regions
  • EC2 Instances and Auto Scaling
  • S3 Storage and Data Management
  • VPC Networking and Security Groups
  • IAM Roles and Policies
  • CloudWatch Monitoring and Logging
AWS EC2 S3 VPC

Learning Outcomes

By the end of this module, you'll understand cloud computing fundamentals, deploy and manage AWS infrastructure, implement security best practices, and monitor cloud resources effectively.

Module 2: Microsoft Azure & Enterprise Solutions

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  • Azure Resource Manager and Subscriptions
  • Virtual Machines and Scale Sets
  • Azure Storage and Blob Services
  • Azure Virtual Network and Security
  • Azure Active Directory and RBAC
  • Azure Functions and Serverless Computing
  • Azure Monitor and Application Insights
Azure ARM Azure Functions Azure AD

Learning Outcomes

You'll master Microsoft Azure services, deploy enterprise solutions, implement hybrid cloud architectures, and manage Azure resources using best practices.

Module 3: Google Cloud Platform & Data Services

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  • GCP Projects and Resource Hierarchy
  • Compute Engine and Managed Instance Groups
  • Cloud Storage and Data Transfer
  • VPC Networks and Firewall Rules
  • Cloud IAM and Service Accounts
  • BigQuery and Data Analytics
  • Cloud Functions and App Engine
GCP Compute Engine BigQuery Cloud Functions

Learning Outcomes

You'll build solutions on Google Cloud Platform, leverage GCP's data analytics capabilities, implement serverless architectures, and manage GCP resources efficiently.

Module 4: Containerization with Docker & Kubernetes

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  • Docker Containers and Images
  • Dockerfile Best Practices
  • Docker Compose and Multi-container Apps
  • Kubernetes Architecture and Concepts
  • Pods, Deployments, and Services
  • Kubernetes Networking and Storage
  • Managed Kubernetes Services (EKS, AKS, GKE)
Docker Kubernetes EKS AKS GKE

Learning Outcomes

You'll master containerization with Docker, orchestrate applications with Kubernetes, deploy to managed Kubernetes services, and implement CI/CD pipelines for containers.

Module 5: Advanced Cloud Architecture & Capstone Project

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  • Multi-cloud Architecture Patterns
  • Infrastructure as Code (Terraform, CloudFormation)
  • Serverless Architecture and Microservices
  • Disaster Recovery and High Availability
  • Cost Optimization and Resource Management
  • Security and Compliance Best Practices
  • Comprehensive Multi-cloud Capstone Project
Terraform Multi-cloud Serverless IaC

Learning Outcomes

You'll design and implement complex multi-cloud architectures, automate infrastructure deployment, optimize cloud costs, and complete a comprehensive capstone project demonstrating expertise across all major cloud platforms.

Start Your Cloud Computing Journey

Join thousands of cloud professionals who have advanced their careers with our comprehensive cloud computing curriculum.

Enroll in the Course