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Course Outline
Foundations of 6G and Edge Computing
- Overview and roadmap of 6G technology.
- Core principles of edge computing and various deployment models.
- The 6G–Edge–Cloud continuum and distributed computing paradigms.
Architecture of the Intelligent Edge
- Essential components of edge systems (computing, storage, networking).
- Integration with IoT sensors, gateways, and 6G connectivity.
- Edge orchestration and service management.
6G Capabilities and Enabling Technologies
- Terahertz spectrum usage and low-latency communication techniques.
- 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 architectures.
- 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.
- APIs, microservices, and container-based deployment methods.
Security and Trust in Distributed Edge Networks
- Identity management, authentication, and zero-trust frameworks.
- Data integrity, encryption, and trusted execution environments (TEEs).
- 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 delivered 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.
- Drafting a proof-of-concept deployment and evaluation plan.
Summary and Next Steps
Requirements
- A solid understanding of cloud computing and networking principles.
- Familiarity with IoT and distributed system concepts.
- Foundational knowledge of edge or hybrid infrastructure design.
Target Audience
- IT architects investigating the convergence 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)
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