CLOUD COMPUTING MASTERCLASS

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About Course

Cloud computing has transformed how businesses deploy, manage, and scale applications. This course provides a comprehensive understanding of cloud technologies, virtualization, cloud infrastructure, cloud security, containerization, and multi-cloud deployment strategies. Students will gain practical skills in designing, deploying, and managing cloud solutions using industry-standard tools and platforms.

Become a Cloud Computing Professional by mastering AWS, Azure, Google Cloud, Docker, Kubernetes, DevOps, Cloud Security, Infrastructure Management, and Enterprise Cloud Architecture through practical hands-on projects and real-world case studies.

This structure is fully compatible with Tutor LMS and can be expanded into 85+ lessons, quizzes, assignments, downloadable PDFs, video scripts, presentations, and certificates, making it comparable to premium courses on platforms like Coursera and Udemy.

What You Will Learn

After completing this course, students will be able to:

✅ Understand cloud computing concepts

✅ Differentiate IaaS, PaaS and SaaS

✅ Deploy virtual machines

✅ Configure cloud storage

✅ Build cloud networks

✅ Use AWS services

✅ Use Microsoft Azure

✅ Use Google Cloud Platform

✅ Implement cloud security

✅ Configure Docker containers

✅ Deploy Kubernetes clusters

✅ Implement CI/CD pipelines

✅ Manage cloud databases

✅ Design enterprise cloud architectures

✅ Develop cloud-native applications


Requirements

  • Basic computer knowledge
  • Internet access
  • No cloud experience required
  • Laptop/Desktop computer

Target Audience

  • Computer Science Students
  • Software Developers
  • System Administrators
  • DevOps Engineers
  • Network Engineers
  • IT Professionals
  • Technology Entrepreneurs
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What Will You Learn?

  • After completing this course, students will be able to:
  • ✅ Understand cloud computing concepts
  • ✅ Differentiate IaaS, PaaS and SaaS
  • ✅ Deploy virtual machines
  • ✅ Configure cloud storage
  • ✅ Build cloud networks
  • ✅ Use AWS services
  • ✅ Use Microsoft Azure
  • ✅ Use Google Cloud Platform
  • ✅ Implement cloud security
  • ✅ Configure Docker containers
  • ✅ Deploy Kubernetes clusters
  • ✅ Implement CI/CD pipelines
  • ✅ Manage cloud databases
  • ✅ Design enterprise cloud architectures
  • ✅ Develop cloud-native applications

Course Content

MODULE 1: INTRODUCTION TO CLOUD COMPUTING
Module Description Cloud Computing has revolutionized the way individuals, businesses, and governments access and utilize computing resources. Rather than purchasing and maintaining expensive hardware and software, organizations can access computing services over the internet on demand. This module introduces learners to the fundamental concepts of cloud computing, its evolution, characteristics, benefits, and challenges. Learning Outcomes By the end of this module, learners should be able to: • Define Cloud Computing • Explain the history and evolution of Cloud Computing • Identify key characteristics of cloud systems • Describe the benefits of cloud adoption • Analyze challenges associated with cloud environments • Evaluate cloud solutions for business needs

  • LESSON 1: WHAT IS CLOUD COMPUTING?
    12:41
  • LESSON 1 QUIZ What is Cloud Computing?
  • LESSON 2: HISTORY OF CLOUD COMPUTING
    00:00
  • LESSON 3: CHARACTERISTICS OF CLOUD COMPUTING
    00:00
  • LESSON 4: BENEFITS OF CLOUD COMPUTING
    00:00
  • LESSON 5: CHALLENGES OF CLOUD COMPUTING
    00:00

MODULE 2: CLOUD SERVICE MODELS
Module Summary Cloud service models define how cloud resources and services are delivered to users. Organizations can choose different levels of control, flexibility, and management depending on their requirements. This module explores the four primary service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Function as a Service (FaaS). Learners will understand how these models differ and how businesses leverage them to reduce costs, accelerate development, and improve operational efficiency. Learning Outcomes By the end of this module, learners will be able to: Differentiate IaaS, PaaS, SaaS, and FaaS Identify real-world examples of each service model Select appropriate service models for different business needs

MODULE 3 : CLOUD DEPLOYMENT MODELS
Module Summary Cloud deployment models determine where cloud infrastructure is hosted and who has access to it. Different deployment strategies offer varying levels of security, flexibility, control, and cost. This module examines Public Cloud, Private Cloud, Hybrid Cloud, Community Cloud, and Multi-Cloud environments. Students will learn how organizations select deployment models based on regulatory requirements, security concerns, and operational objectives. Learning Outcomes By the end of this module, learners will be able to: Explain major cloud deployment models Compare public and private cloud infrastructures Analyze hybrid and multi-cloud strategies Recommend deployment models for organizational scenarios

MODULE 4: VIRTUALIZATION TECHNOLOGIES
Module Summary Virtualization is the foundational technology behind modern cloud computing. It allows multiple virtual systems to operate on a single physical machine, improving resource utilization and reducing infrastructure costs.

MODULE 5: CLOUD INFRASTRUCTURE
Module Summary Cloud infrastructure consists of the hardware and software components that support cloud services. These components include data centers, servers, storage systems, networking equipment, and load balancers. This module explores how cloud providers build highly available and scalable infrastructures capable of serving millions of users worldwide.

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