Course Outline

Foundations of 6G and Edge Computing

  • 6G technology overview and roadmap
  • Edge computing fundamentals and deployment models
  • 6G–Edge–Cloud continuum and distributed computing paradigms

Architecture of the Intelligent Edge

  • Core components of edge systems (compute, storage, networking)
  • Integration with IoT sensors, gateways, and 6G connectivity
  • Edge orchestration and service management

6G Capabilities and Enabling Technologies

  • Terahertz spectrum and 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 in multi-domain edge systems

Edge–Cloud Collaboration Models

  • Hybrid and multi-cloud integration strategies
  • Offloading, caching, and latency optimization techniques
  • 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)
  • Resilience and disaster recovery across distributed nodes

Use Cases and Industry Applications

  • Industrial automation and smart factories
  • 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
  • Drafting a proof-of-concept deployment and evaluation plan

Summary and Next Steps

Requirements

  • Understanding of cloud and networking fundamentals
  • Familiarity with IoT and distributed systems concepts
  • Basic knowledge of edge or hybrid infrastructure design

Audience

  • IT architects exploring convergence between edge computing and next-generation networks
  • Enterprise infrastructure planners and solution designers
  • Cloud and IoT professionals preparing for 6G evolution
 21 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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