Adv. Networking & Cloud Computing Course

HERE’S A SAMPLE CURRICULUM OUTLINE:

1. Introduction to Cloud Computing

   • • Definition and key concepts
     • Evolution and benefits of cloud computing
     • Cloud service models: IaaS, PaaS, SaaS
     • Cloud deployment models: Public, private, hybrid;

2. Virtualization and Cloud Infrastructure

   • Virtualization basics and technologies
   • Hypervisors and virtual machine management
   • Containers and containerization (e.g., Docker)
   • Software-defined infrastructure and network virtualization

3. Cloud Service Providers

   • Overview of major cloud providers (AWS, Azure, GCP)
   • Comparative Analysis of cloud platforms
   • Cloud provider services and offerings
   • Cloud pricing models and cost management

4. Cloud Architecture and Design

   • Cloud reference architectures
   • Scalability, elasticity, and high availability
   • Network and storage architectures
   • Data management and disaster recovery strategies

5. Cloud Security and Governance

   • Security challenges in the cloud
   • Identity and access management (IAM)
   • Data protection and encryption
   • Compliance and regulatory considerations

6. Cloud Networking and Connectivity

   • Virtual private networks (VPNs)
   • Cloud-based network services (e.g., AWS VPC, Azure VNet)
   • Hybrid cloud networking
   • Network security in the cloud

7. Cloud Storage and Database Services

   • Cloud storage options (object storage, block storage)
   • Cloud database services (relational and NoSQL)
   • Data backup, replication, and recovery
   • Big data storage and processing in the cloud

8. Cloud Application Development and Deployment

   • Cloud-native development principles
   • Platform as a Service (PaaS) offerings
   • Serverless computing and Function as a Service (FaaS)
   • Continuous integration and deployment (CI/CD) in the cloud

9. Cloud Monitoring and Performance Optimization

   • Cloud monitoring tools and services
   • Performance metrics and optimization techniques
   • Auto-scaling and load balancing
   • Troubleshooting and debugging in the cloud

10. Cloud Migration and Hybrid Cloud

    • Cloud migration strategies and methodologies
    • Lift-and-shift vs. re-architecting approaches
    • Hybrid cloud integration and management
    • Governance and security considerations in hybrid environments

11. Emerging Trends in Cloud Computing

    • Edge computing and fog computing
    • Serverless computing and microservices architecture
    • AI and machine learning in the cloud
    • DevOps and cloud-native practices

12. Cloud Case Studies and Real-World Applications

    • Industry-specific cloud implementations
    • Cloud adoption success stories
    • Practical use cases and demonstrations