Cloud Computing Mastery: AWS, Azure & Google Cloud - 5-Day Intensive Training

Course Overview

This comprehensive 5-day cloud computing bootcamp delivers hands-on training across the three leading cloud platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Master multi-cloud strategies, serverless architecture, cloud security, DevOps integration, and modern cloud-native solutions. Designed for IT professionals, developers, system administrators, and cloud architects seeking expertise in enterprise cloud computing for 2025 and beyond.

📅 Day 1: Cloud Computing Fundamentals & AWS Core Services

Morning Session (9:00 AM - 12:30 PM)

Module 1.1: Introduction to Cloud Computing

• What is Cloud Computing? Evolution and business value

• Cloud Service Models:

  • Infrastructure as a Service (IaaS)

  • Platform as a Service (PaaS)

  • Software as a Service (SaaS)

  • Function as a Service (FaaS) / Serverless

• Cloud Deployment Models: Public, Private, Hybrid, Multi-Cloud

• Benefits of Cloud Computing: Scalability, cost optimization, agility, global reach

• 2025 Cloud Trends:

  • Multi-cloud and hybrid strategies

  • AI/ML cloud services integration

  • Edge computing and CDN

  • Serverless and containerization dominance

  • FinOps and cloud cost optimization

Module 1.2: AWS Fundamentals

• AWS Global Infrastructure: Regions, Availability Zones, Edge Locations

• AWS Account Setup and Management Console navigation

• AWS Identity and Access Management (IAM):

  • Users, Groups, Roles, and Policies

  • Multi-Factor Authentication (MFA)

  • Best practices for security

• AWS CLI and SDK introduction

• Hands-on Lab: Creating AWS account, configuring IAM users and roles

Afternoon Session (2:00 PM - 5:30 PM)

Module 1.3: AWS Core Compute & Storage Services

• Amazon EC2 (Elastic Compute Cloud):

  • Instance types, AMIs, and launching instances

  • Security Groups and Network ACLs

  • Elastic Load Balancing (ELB)

  • Auto Scaling Groups

• Amazon S3 (Simple Storage Service):

  • Buckets, objects, and storage classes

  • Versioning, lifecycle policies, and replication

  • S3 security and encryption

• Amazon EBS (Elastic Block Store): Volume types and snapshots

• Hands-on Lab: Deploying EC2 instances, creating S3 buckets, configuring load balancers

Module 1.4: AWS Networking Basics

• Amazon VPC (Virtual Private Cloud):

  • Subnets, Route Tables, Internet Gateway

  • NAT Gateway and VPC Peering

  • VPN and Direct Connect

• Amazon CloudFront (CDN)

• Route 53 (DNS service)

• Lab Exercise: Building a custom VPC with public and private subnets

📅 Day 2: Microsoft Azure Cloud Platform & Services

Morning Session (9:00 AM - 12:30 PM)

Module 2.1: Azure Fundamentals

• Microsoft Azure Overview and cloud ecosystem

• Azure Global Infrastructure: Regions, Availability Zones, Geography

• Azure Portal navigation and Azure CLI

• Azure Active Directory (Azure AD):

  • Identity and access management

  • Role-Based Access Control (RBAC)

  • Conditional Access and MFA

• Azure Subscription Management and resource groups

• Hands-on Lab: Setting up Azure account, configuring Azure AD

Module 2.2: Azure Core Compute Services

• Azure Virtual Machines (VMs):

  • VM sizes, availability sets, and scale sets

  • Azure Disk Storage

  • VM networking and security

• Azure App Service: Web apps, API apps, mobile apps

• Azure Functions (Serverless computing)

• Azure Kubernetes Service (AKS): Container orchestration

• Hands-on Lab: Deploying VMs, creating App Service web applications

Afternoon Session (2:00 PM - 5:30 PM)

Module 2.3: Azure Storage & Database Services

• Azure Storage Solutions:

  • Blob Storage (Hot, Cool, Archive tiers)

  • Azure Files and File Sync

  • Table Storage and Queue Storage

  • Azure Disk Storage

• Azure Database Services:

  • Azure SQL Database

  • Azure Cosmos DB (NoSQL)

  • Azure Database for MySQL, PostgreSQL

• Lab Exercise: Implementing Azure Storage solutions and SQL databases

Module 2.4: Azure Networking & Hybrid Cloud

• Azure Virtual Networks (VNet)

• Azure Load Balancer and Application Gateway

• Azure VPN Gateway and ExpressRoute

• Azure CDN and Traffic Manager

• Azure Arc - Hybrid and multi-cloud management (2025 trend)

• Hands-on Project: Designing Azure network architecture

📅 Day 3: Google Cloud Platform (GCP) & Multi-Cloud Strategy

Morning Session (9:00 AM - 12:30 PM)

Module 3.1: Google Cloud Platform Fundamentals

• GCP Overview: History, market position, strengths (AI/ML, data analytics)

• GCP Global Infrastructure: Regions, zones, network

• Google Cloud Console and Cloud Shell

• Google Cloud Identity and Access Management (IAM):

  • Principals, Roles, Permissions

  • Service Accounts

• GCP Resource Hierarchy: Organizations, Folders, Projects

• Hands-on Lab: GCP account setup, IAM configuration

Module 3.2: GCP Core Compute Services

• Google Compute Engine (GCE):

  • VM instances, machine types

  • Persistent disks and snapshots

  • Instance groups and load balancing

• Google App Engine: PaaS for application deployment

• Google Cloud Functions: Event-driven serverless

• Google Cloud Run: Containerized serverless applications

• Google Kubernetes Engine (GKE): Managed Kubernetes

• Lab Exercise: Deploying applications across GCP compute options

Afternoon Session (2:00 PM - 5:30 PM)

Module 3.3: GCP Storage & Database Services

• Google Cloud Storage:

  • Storage classes and lifecycle management

  • Object versioning and access control

• Google Persistent Disk and Filestore

• GCP Database Services:

  • Cloud SQL (MySQL, PostgreSQL, SQL Server)

  • Cloud Spanner (globally distributed database)

  • Firestore and Bigtable (NoSQL)

• Hands-on Lab: Implementing GCP storage and database solutions

Module 3.4: Multi-Cloud Strategy & Comparison

• AWS vs Azure vs GCP: Side-by-side service comparison

• Multi-cloud architecture patterns - 2025 enterprise trend

• When to use which platform:

  • AWS: Broad service portfolio, market leader

  • Azure: Microsoft ecosystem integration, hybrid solutions

  • GCP: AI/ML, data analytics, innovation

• Multi-cloud management tools: Anthos, Azure Arc, AWS Outposts

• Cloud vendor lock-in avoidance strategies

• Workshop: Designing a multi-cloud architecture

📅 Day 4: Advanced Cloud Services & DevOps Integration

Morning Session (9:00 AM - 12:30 PM)

Module 4.1: Serverless & Modern Application Architecture

• Serverless Computing Deep Dive - 2025 critical skill:

  • AWS Lambda

  • Azure Functions

  • Google Cloud Functions

• Event-driven architecture patterns

• API Gateway services across platforms

• Serverless frameworks and deployment tools

• Function as a Service (FaaS) best practices

• Hands-on Lab: Building serverless applications

Module 4.2: Containers & Orchestration

• Docker containerization fundamentals

• Container registries:

  • Amazon ECR

  • Azure Container Registry

  • Google Container Registry

• Kubernetes across clouds:

  • Amazon EKS

  • Azure AKS

  • Google GKE

• Container deployment strategies

• Lab Exercise: Deploying containerized applications to Kubernetes

Afternoon Session (2:00 PM - 5:30 PM)

Module 4.3: Cloud DevOps & CI/CD

• DevOps in the Cloud - Essential 2025 integration

• CI/CD Pipelines:

  • AWS CodePipeline, CodeBuild, CodeDeploy

  • Azure DevOps, Azure Pipelines

  • Google Cloud Build, Cloud Deploy

• Infrastructure as Code (IaC):

  • AWS CloudFormation

  • Azure Resource Manager (ARM) Templates

  • Google Cloud Deployment Manager

  • Terraform (multi-cloud IaC)

• Configuration management: Ansible, Chef, Puppet

• Hands-on Project: Building complete CI/CD pipeline

Module 4.4: Monitoring, Logging & Observability

• Cloud Monitoring Solutions:

  • AWS CloudWatch

  • Azure Monitor

  • Google Cloud Operations (formerly Stackdriver)

• Distributed tracing and application performance monitoring

• Log aggregation and analysis

• Alerting and incident response automation

• Lab Exercise: Implementing comprehensive monitoring solution

📅 Day 5: Cloud Security, Cost Optimization & Advanced Topics

Morning Session (9:00 AM - 12:30 PM)

Module 5.1: Cloud Security Best Practices

• Shared Responsibility Model across AWS, Azure, GCP

• Identity and Access Management advanced concepts

• Cloud Security Services:

  • AWS Security Hub, GuardDuty, WAF, Shield

  • Azure Security Center, Sentinel, Key Vault

  • Google Cloud Security Command Center, Cloud Armor

• Data encryption at rest and in transit

• Compliance frameworks: HIPAA, PCI-DSS, SOC 2, GDPR

• Zero Trust Architecture in the cloud

• Hands-on Lab: Implementing cloud security controls

Module 5.2: Cloud Backup, Disaster Recovery & High Availability

• Backup strategies across cloud platforms

• Disaster Recovery Planning:

  • RTO and RPO objectives

  • Multi-region deployment

  • Cross-cloud backup strategies

• High availability architecture patterns

• Business continuity in the cloud

• Workshop: Designing DR solution

Afternoon Session (2:00 PM - 5:30 PM)

Module 5.3: Cloud Cost Optimization & FinOps

• Cloud Cost Management - Critical 2025 skill:

  • AWS Cost Explorer, Budgets, Savings Plans

  • Azure Cost Management, Advisor

  • Google Cloud Billing, Recommender

• FinOps principles and practices

• Cost optimization strategies:

  • Right-sizing resources

  • Reserved instances and spot instances

  • Serverless for cost efficiency

  • Storage tiering

• Cloud waste elimination

• Hands-on Exercise: Analyzing and optimizing cloud costs

Module 5.4: Advanced Topics & Capstone Project

• AI/ML Cloud Services:

  • AWS SageMaker, Bedrock

  • Azure AI, OpenAI Service

  • Google Vertex AI, Gemini

• Big Data & Analytics:

  • AWS EMR, Redshift, Athena

  • Azure Synapse Analytics, Databricks

  • Google BigQuery, Dataflow

• Edge Computing and IoT services

• Quantum Computing cloud preview services

• Migration strategies: Lift-and-shift, re-platforming, re-architecting

• Capstone Project Presentations:

  • Multi-cloud architecture design

  • Cloud migration plan

  • Cost-optimized cloud solution

• Course completion and certification

🎯 Course Learning Outcomes

By completing this 5-day cloud computing intensive training, participants will:

1. ✅ Master core services across AWS, Azure, and Google Cloud platforms

2. ✅ Design and implement multi-cloud architectures for enterprise scalability

3. ✅ Deploy serverless applications and containerized workloads

4. ✅ Integrate DevOps practices with cloud CI/CD pipelines

5. ✅ Implement comprehensive cloud security controls and compliance

6. ✅ Optimize cloud costs using FinOps principles and tools

7. ✅ Build high-availability and disaster recovery solutions

8. ✅ Navigate cloud certifications pathways (AWS, Azure, GCP)

9. ✅ Leverage AI/ML and advanced cloud services

10. ✅ Apply 2025 cloud trends including hybrid and edge computing

👥 Who Should Attend?

• IT Professionals transitioning to cloud computing roles

• System Administrators and Network Engineers

• Software Developers building cloud-native applications

• DevOps Engineers implementing cloud automation

• Solution Architects designing cloud infrastructures

• Technical Managers overseeing cloud initiatives

• Students pursuing cloud computing careers

• Entrepreneurs leveraging cloud for startups

• Anyone seeking AWS, Azure, or GCP certifications

📚 Prerequisites

• Basic understanding of networking concepts (IP, DNS, HTTP)

• Familiarity with Linux/Windows operating systems

• Basic knowledge of command line interface

• Understanding of virtualization concepts (helpful but not required)

• Laptop with 8GB+ RAM and internet connection

• Enthusiasm for cloud technology and continuous learning