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Course Outline
Foundations of 6G and Edge Computing
- Overview of 6G technology and its roadmap.
- Essentials of edge computing and various deployment models.
- The 6G–Edge–Cloud continuum and paradigms of distributed computing.
Architecture of the Intelligent Edge
- Core components of edge systems, including compute, storage, and networking.
- Integration with IoT sensors, gateways, and 6G connectivity.
- Edge orchestration and service management strategies.
6G Capabilities and Enabling Technologies
- Terahertz spectrum and low-latency communication protocols.
- 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 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.
- Utilizing APIs, microservices, and container-based deployment.
Security and Trust in Distributed Edge Networks
- Identity, 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 mobility infrastructure.
- 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 dynamics.
- Cost optimization and lifecycle management strategies.
- 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 plans.
- Drafting a proof-of-concept deployment and evaluation strategy.
Summary and Next Steps
Requirements
- A solid understanding of cloud and networking fundamentals.
- Familiarity with IoT and distributed systems concepts.
- Basic knowledge of edge or hybrid infrastructure design.
Target 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 evolution to 6G.
21 Hours
Testimonials (1)
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