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Course Outline
Foundations of 6G and Edge Computing
- Overview of 6G technology and its development roadmap
- Core principles of edge computing and various deployment models
- The 6G–Edge–Cloud continuum and paradigms of distributed computing
Architecture of the Intelligent Edge
- Essential components of edge systems, including compute, storage, and networking
- Seamless integration with IoT sensors, gateways, and 6G connectivity
- Edge orchestration mechanisms and service management strategies
6G Capabilities and Enabling Technologies
- Utilization of Terahertz spectrum for low-latency communications
- AI-native network management and intent-driven orchestration
- Network slicing and dynamic resource allocation tailored for edge workloads
Data and AI at the Edge
- Implementation of federated learning and distributed AI processing
- Real-time analytics and event-driven architectural patterns
- 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
- Leveraging APIs, microservices, and container-based deployment
Security and Trust in Distributed Edge Networks
- Identity management, authentication protocols, and zero-trust frameworks
- Ensuring data integrity, encryption standards, and trusted execution environments (TEEs)
- Building resilience and implementing disaster recovery across distributed nodes
Use Cases and Industry Applications
- Industrial automation and smart factory environments
- Autonomous vehicles and advanced mobility infrastructure
- Healthcare, logistics, and environmental monitoring systems
- AR/VR and immersive media experiences delivered at the edge
Operational and Business Implications
- Edge-as-a-Service models and emerging ecosystem frameworks
- Cost optimization strategies and lifecycle management practices
- 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 plan
Summary and Next Steps
Requirements
- A solid grasp of cloud and networking fundamentals
- Experience with IoT and distributed systems principles
- Familiarity with designing edge or hybrid infrastructure
Target Audience
- IT architects investigating the intersection of edge computing and next-generation networks
- Enterprise infrastructure strategists and solution architects
- Cloud and IoT specialists preparing for the evolution to 6G
21 Hours
Testimonials (1)
That we can cover advance topic and work with real-life example
