
Topics covered:
• What is cloud computing?
• Why companies use cloud
• Course roadmap
• Career opportunities in cloud
Topics covered:
• On-premise infrastructure
• Problems with traditional hosting
• Advantages of cloud computing
• Real-world examples: Netflix, Amazon, and Spotify
Topics covered:
• Infrastructure as a Service (IaaS)
• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• Shared responsibility and real-world examples
Topics covered:
• Public cloud and major providers
• Private cloud control and security
• Hybrid cloud and cloud bursting
• Cost, compliance, and enterprise use cases
Topics covered:
• Virtual machines and hypervisors
• Compute instances in AWS, Azure, and GCP
• VM sizing and operating systems
• Benefits, limitations, and practical use cases
Topics covered:
• Containers compared with virtual machines
• Docker images and containers
• Kubernetes orchestration
• Microservices, portability, and scaling
Topics covered:
• Object, block, and file storage
• Storage durability and availability
• AWS, Azure, and Google Cloud storage services
• Backups, lifecycle policies, and use cases
Topics covered:
• Virtual Private Clouds and CIDR ranges
• Public and private subnets
• Internet and NAT gateways
• Route tables, security groups, and load balancers
Topics covered:
• Vertical and horizontal scaling
• Cloud elasticity
• Auto scaling policies and metrics
• Load balancing and high availability
Topics covered:
• Shared responsibility model
• Identity and Access Management (IAM)
• Least privilege and security policies
• Encryption, MFA, monitoring, and compliance
This course leverages Generative AI to deliver engaging visuals and high-quality audio.
Cloud Computing for Absolute Beginners is a practical, jargon-free introduction to the technologies powering modern applications and businesses. This course is designed for students, career changers, developers, IT professionals, and anyone who wants to understand the cloud without requiring previous cloud experience.
You will begin with the foundations: what cloud computing is, how it evolved from traditional on-premise infrastructure, why organizations use it, and how the major service models—IaaS, PaaS, and SaaS—divide control and responsibility. You will compare public, private, and hybrid cloud deployment models and learn when each approach makes sense.
The course then explains the core technical building blocks of cloud platforms. You will explore virtual machines, containers, Docker, Kubernetes, object storage, block storage, file storage, virtual networks, VPCs, subnets, gateways, routing, load balancing, scalability, elasticity, and auto scaling. Security topics include the shared responsibility model, identity and access management, least privilege, encryption, monitoring, and compliance.
You will also learn serverless computing with AWS Lambda, cloud pricing and cost optimization, AI services, DevOps, CI/CD pipelines, Infrastructure as Code, Terraform, GitOps, observability, and AIOps. Real-world examples connect every concept to practical business and engineering scenarios.
Finally, you will review AWS, Microsoft Azure, and Google Cloud certification paths, cloud career opportunities, portfolio project ideas, and a clear roadmap for continuing your learning. By the end, you will understand cloud terminology, architecture, services, security, costs, and career paths with confidence.