Course Outline

  • Overview of Edge Computing
    • Definition and evolution of edge computing
    • Key drivers and industry trends
    • Comparative analysis with traditional cloud computing models
  • Edge Computing vs. Cloud Computing
    • Technical differences and operational implications
    • Use case scenarios: Where edge outperforms cloud and vice versa
    • Cost-benefit analysis for businesses
  • Real-world Use Cases of Edge Computing
    • Smart cities and IoT
    • Autonomous vehicles
    • Industrial automation and predictive maintenance
  • Architecture of Edge Computing Systems
    • Components of edge architecture (devices, gateways, edge servers)
    • Design principles and deployment models
    • Challenges in scalability and interoperability
  • Networking for Edge Computing
    • Networking requirements and challenges at the edge
    • Role of 5G and its impact on edge computing solutions
    • Secure and efficient data transfer protocols
  • Security and Privacy in Edge Computing
    • Potential vulnerabilities and threat models
    • Encryption, authentication, and authorization mechanisms
    • Compliance with data protection regulations (e.g., GDPR)
  • Managing and Monitoring Edge Computing Environments
    • Tools and strategies for remote management
    • Performance monitoring and anomaly detection
    • Update and patch management for edge devices
  • Future Trends and Challenges in Edge Computing
    • Emerging technologies influencing edge computing (e.g., AI, blockchain)
    • Overcoming technical and regulatory challenges
    • Future outlook and potential market growth areas


  • Familiarity with cloud computing and networking


  • Business Analysts
  • Product managers
  • Developers
 21 Hours

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