Goal: Understanding the basics and evolution of cloud computing.
1.Class 1:
1. What is Cloud Computing?
2. Traditional IT Infrastructure vs. Cloud Infrastructure
3. Key benefits: Scalability, Cost-efficiency, Flexibility, and Reliability.
2.Class 2:
1. Evolution of Cloud Computing:
1. From Mainframes → Client-Server → Internet → Cloud.
2. Examples of Cloud Usage in Today’s World (e.g., Netflix, Google Drive).
3.Class 3:
1. Characteristics of Cloud Computing:
1. On-Demand Self Service
2. Resource Pooling
3. Scalability and Elasticity
4. Pay-as-You-Go Pricing.
4.Class 4:
1. Service Models:
1. Infrastructure as a Service (IaaS)
2. Platform as a Service (PaaS)
3. Software as a Service (SaaS).
2. Real-life Examples: AWS EC2 (IaaS), Google App Engine (PaaS), Gmail (SaaS).
5.Class 5:
1. Deployment Models:
1. Public Cloud
2. Private Cloud
3. Hybrid Cloud
4. Community Cloud.
2. Hands-on: Identifying deployment models for various applications.

Goal: In-depth study of cloud service models with hands-on practice.
6.Class 6: IaaS (Infrastructure as a Service)
• Key Features and Examples.
• Use Cases: Virtual Servers, Storage, Networking.
7.Class 7: Hands-on Lab:
• Launching a Virtual Machine using AWS EC2 or Azure VM.7.
8.Class 8: PaaS (Platform as a Service)
• Key Features and Examples.
• Use Cases: App Development Platforms like Google App Engine, Azure App Service.
9.Class 9: Hands-on Lab:
• Deploying a Simple Application using Azure App Service.
10.Class 10: SaaS (Software as a Service)
• Features and Examples: Gmail, Dropbox, Salesforce.
• SaaS vs Traditional Software Licensing.

Goal: Deep understanding of deployment models and cloud architecture.
11.Class 11:
11. Public Cloud Overview: AWS, Azure, GCP.
12. Advantages and Use Cases.
12.Class 12:
11. Private Cloud and Hybrid Cloud: Features, Pros, and Cons.
13.Class 13:
11. Multi-Cloud Strategy: What, Why, and How?
12. Case Studies of Companies Using Multi-Cloud.
14.Class 14:
11. Cloud Architecture Components:
11.Compute Services (VMs, Containers)
12.Storage Services
13.Networking (VPC, Subnets).
15.Class 15: Hands-on Lab:
11. Setting up a Virtual Network in AWS or Azure.

Goal: Learn virtualization concepts and containerization tools.
16.Class 16:
16. Introduction to Virtualization
16.Hypervisors (Type 1 and Type 2).
17.Class 17: Hands-on Lab:
16. Creating Virtual Machines using VMware/VirtualBox.
18.Class 18:
16. Introduction to Containerization: Docker Basics.
19.Class 19: Hands-on Lab:
16. Installing Docker and Running Containers.
17. Docker Commands: Run, Stop, Pull, Push.
20.Class 20:
16. Virtual Machines vs. Containers: Advantages and Use Cases.

Goal: Explore foundational AWS services and tools.
21.Class 21:
21. Introduction to AWS: Overview of AWS Console and Regions.
22.Class 22:
21. AWS Compute Services: EC2, Lambda, Auto-Scaling.
23.Class 23:
21. AWS Storage Services:
21.S3 (Simple Storage Service)
22.EBS (Elastic Block Store).
24.Class 24:
21. AWS Networking: VPC (Virtual Private Cloud), Route 53, CloudFront.
25.Class 25: Hands-on Lab:
21. Creating an EC2 Instance and Storing Data in S3