Cloud Computing Fundamentals Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This concise, hands-on course delivers foundational cloud computing knowledge through interactive, text-based lessons and practical exercises. You’ll gain fluency in core cloud concepts, service models, storage, deployment, and platform selection—without needing to install or configure any external tools. The course is structured into six modules totaling approximately 4 hours, making it ideal for beginners seeking a fast, effective entry into cloud computing. Each module combines clear explanations with immediate hands-on practice, preparing you to confidently explore real-world cloud platforms.

Module 1: Introduction to Cloud Computing

Estimated time: 0.5 hours

  • Virtualization fundamentals
  • History and evolution of cloud computing
  • Essential cloud characteristics: on-demand self-service
  • Essential cloud characteristics: broad network access

Module 2: Core Cloud Service Models

Estimated time: 1 hour

  • Infrastructure as a Service (IaaS) explained
  • Platform as a Service (PaaS) explained
  • Software as a Service (SaaS) explained
  • Comparative analysis of IaaS, PaaS, and SaaS

Module 3: Cloud Clustering & Compute

Estimated time: 0.75 hours

  • Clustering fundamentals in cloud environments
  • Elasticity and resource pooling
  • Vertical vs. horizontal scaling strategies

Module 4: Storage Options & Patterns

Estimated time: 0.75 hours

  • Object storage (e.g., S3)
  • Block storage (e.g., EBS, Azure Disk)
  • File storage (e.g., EFS, Azure File)

Module 5: Deployment & Automation

Estimated time: 0.75 hours

  • Public, private, and hybrid cloud deployment models
  • Introduction to CI/CD pipelines
  • Infrastructure as Code (IaC) principles and use cases

Module 6: Platform Selection & Next Steps

Estimated time: 0.5 hours

  • Evaluating cloud platforms based on cost
  • Assessing compliance and regional availability
  • Comparing managed services across AWS, Azure, and GCP

Prerequisites

  • Basic understanding of computer systems and networks
  • Familiarity with web applications
  • No prior cloud experience required

What You'll Be Able to Do After

  • Grasp fundamental cloud computing concepts like virtualization and multitenancy
  • Differentiate between IaaS, PaaS, and SaaS service models
  • Understand and apply core cloud storage options to real-world scenarios
  • Evaluate and select appropriate cloud platforms based on business needs
  • Gain hands-on experience with service exploration and deployment using IaC
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.