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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
Requirements
- Familiarity with cloud computing and networking
Audience
- Business Analysts
- Product managers
- Developers
21 Hours
