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Course Outline
Foundations of 6G and Edge Computing
- Overview and roadmap of 6G technology
- Core principles and deployment models of edge computing
- The 6G–Edge–Cloud continuum and distributed computing paradigms
Architecture of the Intelligent Edge
- Essential components of edge systems (compute, storage, networking)
- Integration with IoT sensors, gateways, and 6G connectivity
- Orchestrating the edge and managing services
6G Capabilities and Enabling Technologies
- Terahertz spectrum and ultra-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
- Real-time analytics and event-driven architecture
- Data governance and privacy within multi-domain edge systems
Edge–Cloud Collaboration Models
- Strategies for hybrid and multi-cloud integration
- Techniques for offloading, caching, and latency optimization
- APIs, microservices, and container-based deployment
Security and Trust in Distributed Edge Networks
- Identity, authentication, and zero-trust frameworks
- Data integrity, encryption, and trusted execution environments (TEEs)
- Building resilience and disaster recovery across distributed nodes
Use Cases and Industry Applications
- Industrial automation and smart manufacturing
- Autonomous vehicles and mobility infrastructure
- Healthcare, logistics, and environmental monitoring
- AR/VR and immersive media experiences at the edge
Operational and Business Implications
- Edge-as-a-Service and emerging ecosystem models
- Cost optimization and lifecycle management
- Skill requirements and workforce transformation for 6G-edge convergence
Workshop: Designing a 6G-Ready Edge Architecture
- Mapping workloads and latency-sensitive services
- Defining network topologies and resource allocation
- Developing 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 familiarity with 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 professionals preparing for the transition to 6G
21 Hours
Testimonials (1)
That we can cover advance topic and work with real-life example
