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Duration 21 hours
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 evolving distributed computing paradigms
Architecting the Intelligent Edge
- Key components of edge systems, including compute, storage, and networking
- Interfacing with IoT sensors, gateways, and 6G connectivity layers
- Orchestration of edge resources and service management strategies
6G Capabilities and Key Enabling Technologies
- Utilizing Terahertz spectrum for 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
- Implementing federated learning and distributed AI processing
- Real-time analytics and event-driven architectural patterns
- Data governance and privacy considerations in multi-domain edge environments
Edge–Cloud Collaboration Models
- Strategies for hybrid and multi-cloud integration
- Techniques for offloading, caching, and latency optimization
- Deployment via APIs, microservices, and containerization
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 implementations
- Autonomous vehicles and advanced mobility infrastructure
- Applications 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
- 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
- Drafting a proof-of-concept deployment and evaluation plan
Summary and Next Steps
Requirements
- A solid grasp of cloud and networking fundamentals
- Working knowledge of IoT and distributed systems concepts
- Basic proficiency in designing edge or hybrid infrastructure
Target Audience
- IT architects investigating the convergence of edge computing and next-generation networks
- Enterprise infrastructure planners and solution designers
- Cloud and IoT specialists preparing for the transition to 6G
Testimonials (1)
That we can cover advance topic and work with real-life example
