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Course Outline
The Foundation of 6G and Edge Computing
- Overview and roadmap for 6G technologies.
- Key concepts in edge computing and deployment strategies.
- The 6G–Edge–Cloud continuum and distributed computing models.
Architecting the Intelligent Edge
- Essential elements of edge systems: compute, storage, and networking.
- Integration of IoT sensors, gateways, and 6G connectivity.
- Orchestration of edge resources and service management.
6G Features and Enabling Technologies
- Use of terahertz spectrum for ultra-low latency communications.
- AI-native network management and intent-driven orchestration.
- Network slicing and dynamic resource allocation for edge workloads.
Leveraging Data and AI at the Edge
- Federated learning and distributed AI processing techniques.
- Real-time analytics and event-driven architectural patterns.
- Data governance and privacy considerations in multi-domain edge environments.
Models for Edge–Cloud Collaboration
- Strategies for hybrid and multi-cloud integration.
- Techniques for offloading, caching, and latency optimization.
- Utilizing APIs, microservices, and container-based deployments.
Ensuring Security and Trust in Distributed Edge Networks
- Frameworks for identity management, authentication, and zero-trust security.
- Data integrity, encryption standards, and Trusted Execution Environments (TEEs).
- Building resilience and disaster recovery capabilities across distributed nodes.
Use Cases and Industry Applications
- Applications in industrial automation and smart manufacturing.
- Infrastructure for autonomous vehicles and mobility solutions.
- Solutions for healthcare, logistics, and environmental monitoring.
- Delivering AR/VR and immersive media experiences via the edge.
Operational and Business Impacts
- Edge-as-a-Service models and emerging ecosystem trends.
- Optimizing costs and managing the infrastructure lifecycle.
- Workforce transformation and skill requirements for 6G-edge convergence.
Workshop: Designing a 6G-Ready Edge Architecture
- Mapping workloads and identifying latency-sensitive services.
- Defining network topologies and resource allocation strategies.
- Drafting a proof-of-concept deployment and evaluation roadmap.
Conclusion and Next Steps
Requirements
- A solid understanding of cloud and networking fundamentals.
- Familiarity with IoT and distributed systems concepts.
- Basic knowledge of edge or hybrid infrastructure design.
Target Audience
- IT architects exploring the convergence of edge computing and next-generation networks.
- Enterprise infrastructure planners and solution designers.
- Cloud and IoT professionals preparing for the evolution to 6G.
21 Hours
Testimonials (1)
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