Cloud Computing and Virtualization Technologies
( 25 Modules )

Module #1
Introduction to Cloud Computing
Overview of cloud computing, its history, and key characteristics

Module #2
Cloud Service Models
Exploring IaaS, PaaS, and SaaS models, their differences, and use cases

Module #3
Cloud Deployment Models
Public, Private, Hybrid, and Community Clouds, their advantages and disadvantages

Module #4
Virtualization Fundamentals
Introduction to virtualization, its benefits, and types (Server, Storage, Network)

Module #5
Virtual Machine (VM) Concepts
VM architecture, types (Type 1, 2, 3), and virtualization software (Hypervisor)

Module #6
Virtualization Platforms
Overview of VMware, Microsoft Hyper-V, KVM, and XenServer virtualization platforms

Module #7
Cloud Infrastructure
Cloud infrastructure components, including compute, storage, and network resources

Module #8
Cloud Storage
Cloud storage types (Object, Block, File), providers (AWS S3, Azure Blob Storage), and use cases

Module #9
Cloud Networking
Cloud networking concepts, including subnets, VPCs, and network security

Module #10
Cloud Security and Compliance
Cloud security best practices, compliance frameworks (HIPAA, PCI-DSS), and risk management

Module #11
Cloud Migration Strategies
Cloud migration approaches (Lift and Shift, Replatform, Refactor), planning, and execution

Module #12
Cloud Computing Service Providers
Overview of major cloud providers (AWS, Azure, Google Cloud, IBM Cloud), their strengths and weaknesses

Module #13
Cloud Cost Optimization
Cloud cost management strategies, pricing models, and cost estimation tools

Module #14
Cloud Monitoring and Logging
Cloud monitoring tools (-prometheus, New Relic), logging, and analytics

Module #15
Containerization
Introduction to containers, Docker, and container orchestration (Kubernetes)

Module #16
Serverless Computing
Serverless computing concepts, AWS Lambda, Azure Functions, and Google Cloud Functions

Module #17
Cloud-Native Applications
Designing cloud-native applications, microservices architecture, and 12-factor apps

Module #18
Cloud Security Architecture
Designing secure cloud architectures, security patterns, and threat modeling

Module #19
Disaster Recovery and Business Continuity
Cloud-based disaster recovery, business continuity planning, and backup strategies

Module #20
Cloud Governance
Cloud governance, policy management, and cloud management platforms

Module #21
Cloud Orchestration and Automation
Cloud orchestration tools (Ansible, Terraform), automation, and continuous integration/continuous deployment (CI/CD)

Module #22
Cloud Migration Best Practices
Cloud migration best practices, lessons learned, and case studies

Module #23
Cloud Computing for DevOps
Cloud computing for DevOps, agile methodologies, and collaboration tools

Module #24
Cloud Computing for Artificial Intelligence and Machine Learning
Cloud computing for AI and ML, data science, and data analytics

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Cloud Computing and Virtualization Technologies career

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Cloud Computing and Virtualization Technologies ( 25 Modules )

Cloud Computing and Virtualization Technologies
( 25 Modules )