Cloud Computing- Beginner (Demo Class available)

This chapter introduces the three core service models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). You'll learn the key differences between them, their advantages, and when to use each model. Real-world examples like AWS EC2 (IaaS), Google App Engine (PaaS), and Microsoft 365 (SaaS) help clarify how these models operate in practice. By the end of the session, you'll be able to classify cloud services and select the appropriate model for different use cases.

This chapter focuses on the leading cloud service providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). You'll explore their core offerings, strengths, and common use cases. The chapter compares their features, pricing models, and global reach, helping learners understand how to choose the right provider based on project needs, budget, and technical preferences.

This chapter introduces the three primary cloud deployment models—public, private, and hybrid. Learners will understand how these models differ in terms of infrastructure ownership, accessibility, and control. Through real-world examples and case studies, the chapter highlights which model is suitable for different organizational needs based on security, scalability, and cost.

This chapter introduces the fundamental concepts of cloud security, focusing on authentication and encryption. Readers will learn how to verify user identities using methods like single-factor and multi-factor authentication (MFA), and explore how encryption protects data both during transmission (in transit) and when stored (at rest). The chapter also covers tools offered by major cloud providers—such as AWS IAM, Azure Active Directory, and Google Cloud IAM—that help implement these security practices. By the end of this chapter, learners will understand how to use basic cloud tools to secure access and protect sensitive data effectively.

This chapter introduces the foundational elements of cloud infrastructure, focusing on virtualization and data centers. It explains how virtualization enables efficient use of physical resources by creating virtual machines and how data centers serve as the physical backbone of cloud services. Students will learn about different types of virtualization, the components of cloud data centers, and gain hands-on experience by deploying a virtual machine on a cloud platform.

This chapter introduces two key types of cloud storage—Object Storage and Block Storage. Learners will explore their architectures, use cases, advantages, and differences. The chapter also includes hands-on tutorials on setting up storage solutions using services like Amazon S3 (for object storage) and Amazon EBS (for block storage). By the end, students will understand how to choose the right storage type for different scenarios and confidently configure cloud storage environments.

This chapter introduces the fundamentals of cloud networking, focusing on how cloud resources communicate within and outside a virtual environment. Learners will explore Virtual Private Clouds (VPCs), which provide isolated networks within the cloud, and learn how to divide them into subnets for better organization and security. The chapter also explains how routing tables and internet gateways manage traffic flow and enable internet access. Through a step-by-step hands-on activity, students will create a simple cloud network architecture using AWS, gaining practical experience with VPC setup, subnet creation, routing configuration, and deploying cloud instances.

This chapter introduces two essential cloud computing features—load balancing and auto-scaling—that ensure applications stay available, responsive, and cost-efficient under varying traffic conditions. You’ll learn how load balancers distribute incoming traffic across multiple servers to prevent overload and maintain performance. You'll also explore how auto-scaling dynamically adjusts the number of running instances based on demand. Through a practical example using AWS, you'll configure an auto-scaling group with a load balancer, gaining hands-on experience in building scalable and resilient cloud architectures.

This chapter introduces the importance of monitoring in cloud environments and how it helps ensure performance, reliability, and cost-efficiency. You’ll explore built-in monitoring tools provided by AWS, Azure, and Google Cloud to track system metrics, logs, and application behavior. The chapter also guides you through setting up alerts and dashboards using AWS CloudWatch to monitor a cloud instance in real-time. By the end, you’ll understand how to proactively detect issues, respond to incidents, and optimize cloud resources.