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Duration 21 hours (3 days)
Course Outline
Foundations of 6G and Edge Computing
- Overview of 6G technology and development roadmap
- Core principles of edge computing and deployment models
- The 6G–Edge–Cloud continuum and distributed computing paradigms
Architecting the Intelligent Edge
- Essential components of edge systems (compute, storage, networking)
- Integration of IoT sensors, gateways, and 6G connectivity
- Edge orchestration and service lifecycle management
6G Capabilities and Underpinning Technologies
- Terahertz spectrum utilisation and low-latency communications
- AI-native network management and intent-driven orchestration
- Network slicing and dynamic resource allocation for edge workloads
Integrating Data and AI at the Edge
- Federated learning and distributed AI processing frameworks
- Real-time analytics and event-driven architecture patterns
- Data governance and privacy protocols in multi-domain edge systems
Edge–Cloud Collaboration Strategies
- Hybrid and multi-cloud integration approaches
- Techniques for offloading, caching, and latency optimisation
- Leveraging APIs, microservices, and container-based deployment
Security and Trust in Distributed Edge Networks
- Identity management, authentication, and zero-trust frameworks
- Ensuring data integrity, encryption, and trusted execution environments (TEEs)
- Building resilience and disaster recovery capabilities across distributed nodes
Use Cases and Industry Applications
- Industrial automation and smart factory initiatives
- Autonomous vehicles and advanced mobility infrastructure
- Healthcare, logistics, and environmental monitoring solutions
- AR/VR and immersive media experiences enabled by the edge
Operational and Business Implications
- Edge-as-a-Service models and emerging ecosystem strategies
- Cost optimisation and lifecycle management best practices
- Workforce transformation and skill requirements for 6G-edge convergence
Workshop: Designing a 6G-Ready Edge Architecture
- Mapping workloads and latency-sensitive services
- Defining network topologies and resource allocation strategies
- Drafting a proof-of-concept deployment and evaluation framework
Conclusion and Future Roadmap
Requirements
- Solid understanding of cloud and networking fundamentals.
- Proficiency in IoT and distributed systems concepts.
- Foundational knowledge of 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 specialists preparing for the 6G evolution.
Testimonials (1)
That we can cover advance topic and work with real-life example
