1. 1. Introduction to Cloud Computing
1.1. Basics of Cloud Computing
1.1.1. Definition & Importance
1.1.2. Cloud Service Models (IaaS, PaaS, SaaS)
1.1.3. Public, Private, Hybrid, and Multi-Cloud
1.2. Core Concepts
1.2.1. Virtualization
1.2.2. Scalability and Elasticity
1.2.3. High Availability & Fault Tolerance
1.2.4. Cloud Security Basics
2. 2. Cloud Service Providers
2.1. Top Providers
2.1.1. Amazon Web Services (AWS)
2.1.2. Microsoft Azure
2.1.3. Google Cloud Platform (GCP)
2.2. Other Providers
2.2.1. IBM Cloud
2.2.2. Oracle Cloud
2.2.3. Alibaba Cloud
3. 3. Cloud Service Models
3.1. Infrastructure as a Service (IaaS)
3.1.1. Compute (VMs, Containers)
3.1.2. Storage (Object, Block, File Storage)
3.1.3. Networking (VPC, Load Balancers)
3.2. Platform as a Service (PaaS)
3.2.1. Managed Databases (SQL, NoSQL)
3.2.2. Serverless Computing (Functions, Event-Driven Architecture)
3.2.3. Development Platforms (Application Deployment)
3.3. Software as a Service (SaaS)
3.3.1. Popular SaaS Applications (Google Workspace, Office 365)
4. 4. Key Cloud Computing Services
4.1. Compute Services
4.1.1. Virtual Machines (EC2, Compute Engine, Azure VMs)
4.1.2. Containers & Kubernetes (EKS, GKE, AKS)
4.1.3. Serverless (AWS Lambda, Google Cloud Functions, Azure Functions)
4.2. Storage Services
4.2.1. Object Storage (S3, Azure Blob, Google Cloud Storage)
4.2.2. Block Storage (EBS, Azure Disk Storage, Persistent Disks)
4.2.3. Database Services (RDS, Cloud SQL, Cosmos DB)
4.3. Networking Services
4.3.1. Virtual Private Cloud (VPC)
4.3.2. Content Delivery Network (CDN) – (CloudFront, Azure CDN, Cloud CDN)
4.3.3. Load Balancing (ELB, Google Load Balancer)
4.4. Security Services
4.4.1. Identity and Access Management (IAM)
4.4.2. Key Management Services (KMS)
4.4.3. Firewalls and Security Groups
5. 5. Advanced Cloud Concepts
5.1. Virtual Private Cloud (VPC)
5.1.1. Subnets, Route Tables, Network ACLs
5.2. Infrastructure as Code (IaC)
5.2.1. Tools: Terraform, AWS CloudFormation, Azure Resource Manager
5.3. Container Orchestration
5.3.1. Kubernetes: Cluster Setup, Deployments, Scaling
5.4. DevOps & CI/CD in the Cloud
5.4.1. Continuous Integration/Deployment (AWS CodePipeline, Azure DevOps, Google Cloud Build)
5.4.2. Monitoring & Logging (CloudWatch, Azure Monitor, Stackdriver)
6. 6. Cloud Security & Compliance
6.1. Security Best Practices
6.1.1. Encryption (Data at Rest, Data in Transit)
6.1.2. Access Control & Identity Management
6.2. Compliance
6.2.1. GDPR, HIPAA, SOC 2 Compliance
6.3. Security Tools
6.3.1. Web Application Firewalls (WAF)
6.3.2. Security Information and Event Management (SIEM)
7. 7. Cost Management and Optimization
7.1. Pricing Models
7.1.1. Pay-As-You-Go, Reserved Instances, Spot Instances
7.2. Cost Management Tools
7.2.1. AWS Cost Explorer, Azure Cost Management, Google Cloud Billing
7.3. Optimization Strategies
7.3.1. Right-Sizing, Auto-Scaling, Reserved Instance Usage
8. 8. Hands-on Practice and Projects
8.1. Basic Projects
8.1.1. Deploy a Static Website (S3, Azure Blob Storage)
8.1.2. Set Up a Virtual Machine and Host a Web Server
8.2. Intermediate Projects
8.2.1. Create a Multi-Tier Web Application (Using Load Balancers, VMs, Databases)
8.2.2. Build and Deploy a Containerized Application using Kubernetes
8.3. Advanced Projects
8.3.1. Implement Serverless Architecture with Event-Driven Functions
8.3.2. Automate Infrastructure Deployment using Terraform
8.3.3. Set Up a CI/CD Pipeline for Cloud Deployment
9. 9. Learning Resources
9.1. Courses & Certifications
9.1.1. AWS: AWS Certified Solutions Architect, AWS Certified DevOps Engineer
9.1.2. Azure: Microsoft Certified: Azure Fundamentals, Azure Solutions Architect Expert
9.1.3. Google Cloud: Google Associate Cloud Engineer, Google Professional Cloud Architect
9.2. Books
9.2.1. "Cloud Computing: Concepts, Technology & Architecture" by Thomas Erl
9.3. Practice Platforms
9.3.1. Qwiklabs, Cloud Academy, A Cloud Guru
10. 10. Advanced Cloud Topics
10.1. Machine Learning on Cloud
10.1.1. AWS SageMaker, Google AI Platform, Azure Machine Learning
10.2. Big Data & Analytics
10.2.1. Data Warehousing (Redshift, BigQuery, Azure Synapse)
10.2.2. Stream Processing (Kinesis, Pub/Sub)
10.3. Disaster Recovery & Backup
10.3.1. Automated Backups, Cross-Region Replication