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Duration 21 hours
Course Outline
Foundations of 6G and Edge Computing
- Overview of 6G technology and its development roadmap
- Core concepts of edge computing and its various deployment models
- The 6G–Edge–Cloud continuum and evolving distributed computing paradigms
Architecting the Intelligent Edge
- Essential components of edge systems, including compute, storage, and networking
- Integrating IoT sensors, gateways, and 6G connectivity
- Edge orchestration and effective service management
6G Capabilities and Supporting Technologies
- Leveraging Terahertz spectrum for low-latency communications
- AI-native network management and intent-driven orchestration
- Network slicing and dynamic resource allocation optimized for edge workloads
Data and AI at the Edge
- Implementing federated learning and distributed AI processing
- Utilizing real-time analytics and event-driven architecture
- Managing data governance and privacy within multi-domain edge systems
Edge–Cloud Collaboration Models
- Strategies for hybrid and multi-cloud integration
- Techniques for offloading, caching, and latency optimization
- Leveraging APIs, microservices, and container-based deployment
Security and Trust in Distributed Edge Networks
- Establishing identity, authentication, and zero-trust frameworks
- Ensuring data integrity, encryption, and the use of trusted execution environments (TEEs)
- Achieving resilience and disaster recovery across distributed nodes
Use Cases and Industry Applications
- Applications in industrial automation and smart factories
- Solutions for autonomous vehicles and mobility infrastructure
- Use cases in healthcare, logistics, and environmental monitoring
- Delivering AR/VR and immersive media experiences at the edge
Operational and Business Implications
- Exploring Edge-as-a-Service and emerging ecosystem models
- Optimizing costs and managing the infrastructure lifecycle
- Addressing skill requirements and workforce transformation for 6G-edge convergence
Workshop: Designing a 6G-Ready Edge Architecture
- Mapping workloads and identifying latency-sensitive services
- Defining network topologies and optimizing resource allocation
- Drafting a proof-of-concept deployment and evaluation plan
Summary and Next Steps
Requirements
- Solid understanding of cloud and networking fundamentals
- Working knowledge of IoT and distributed systems concepts
- Foundational knowledge in edge or hybrid infrastructure design
Target Audience
- IT architects investigating the intersection of edge computing and next-generation networks
- Enterprise infrastructure planners and solution designers
- Cloud and IoT professionals preparing for the 6G evolution
Testimonials (1)
That we can cover advance topic and work with real-life example
