The virtual cloud, a combination of virtualization and cloud computing (CC), has transformed how organizations manage and deploy their IT infrastructure. This course cover various aspects of CC, including fundamental concepts, architecture, deployment models, & practical implementation. You can join this course in classroom & online as per you comfort zone on call: +91 9667602417.

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