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Course Outline
Foundations of 6G and Edge Computing
- Overview of 6G technologies and strategic roadmap
- Basics of edge computing and various deployment models
- The 6G–Edge–Cloud continuum and distributed computing paradigms
Architecture of the Intelligent Edge
- Core components of edge systems (compute, storage, networking)
- Integration with IoT sensors, gateways, and 6G connectivity
- Edge orchestration and service management strategies
6G Capabilities and Enabling Technologies
- Terahertz spectrum utilization and low-latency communications
- AI-native network management and intent-driven orchestration
- Network slicing and dynamic resource allocation for edge workloads
Data and AI at the Edge
- Federated learning and distributed AI processing techniques
- Real-time analytics and event-driven architecture design
- Data governance and privacy considerations in multi-domain edge systems
Edge–Cloud Collaboration Models
- Strategies for hybrid and multi-cloud integration
- Techniques for offloading, caching, and latency optimization
- Utilizing APIs, microservices, and container-based deployment
Security and Trust in Distributed Edge Networks
- Identity management, authentication, and zero-trust frameworks
- Data integrity, encryption, and trusted execution environments (TEEs)
- Ensuring resilience and disaster recovery across distributed nodes
Use Cases and Industry Applications
- Industrial automation and smart factory implementations
- Autonomous vehicles and mobility infrastructure solutions
- Applications in healthcare, logistics, and environmental monitoring
- Delivering AR/VR and immersive media experiences at the edge
Operational and Business Implications
- Edge-as-a-Service models and emerging ecosystem trends
- Cost optimization strategies and lifecycle management
- 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 plans
- Drafting a proof-of-concept deployment and evaluation strategy
Summary and Next Steps
Requirements
- Solid understanding of cloud and networking fundamentals
- Familiarity with IoT and distributed systems concepts
- Basic knowledge of edge or hybrid infrastructure design
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 6G transition
21 Hours
Testimonials (1)
That we can cover advance topic and work with real-life example
