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Course Outline
Foundations of 6G and Edge Computing
- Overview of 6G technology landscapes and developmental roadmaps
- Core principles of edge computing and various deployment models
- The 6G–Edge–Cloud continuum and advanced distributed computing paradigms
Architecture of the Intelligent Edge
- Essential components of edge systems, including compute, storage, and networking
- Synergy with IoT sensors, gateways, and 6G connectivity
- Strategies for edge orchestration and service lifecycle management
6G Capabilities and Enabling Technologies
- Utilization of Terahertz spectrum for low-latency communications
- AI-native network management and intent-driven orchestration methods
- Application of network slicing and dynamic resource allocation for edge workloads
Data and AI at the Edge
- Implementation of federated learning and distributed AI processing
- Techniques for real-time analytics and event-driven architecture
- Data governance and privacy frameworks in multi-domain edge environments
Edge–Cloud Collaboration Models
- Strategies for hybrid and multi-cloud integration
- Optimizing offloading, caching, and latency performance
- Leveraging APIs, microservices, and container-based deployment strategies
Security and Trust in Distributed Edge Networks
- Implementation of identity management, authentication, and zero-trust frameworks
- Ensuring data integrity, encryption, and the use of trusted execution environments (TEEs)
- Building resilience and disaster recovery capabilities across distributed nodes
Use Cases and Industry Applications
- Industrial automation and smart factory implementations
- Autonomous vehicles and advanced mobility infrastructure
- Applications in healthcare, logistics, and environmental monitoring
- Delivery of AR/VR and immersive media experiences via the edge
Operational and Business Implications
- Emergence of Edge-as-a-Service and new ecosystem business models
- Strategies for cost optimization and lifecycle management
- 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 resource allocation strategies
- Developing a proof-of-concept deployment and evaluation plan
Summary and Next Steps
Requirements
- Solid grasp of cloud computing and core networking principles
- Acquaintance with IoT principles and distributed systems concepts
- Fundamental insight into 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 positioning themselves for the 6G transition
21 Hours
Testimonials (1)
That we can cover advance topic and work with real-life example
