Course Modules

Module 1: Fundamentals of Edge Computing and MEC

• Evolution from centralized cloud computing to edge computing
• Introduction to Edge Computing concepts
• MEC architecture and framework
• Benefits and challenges of edge deployments
• Industry standards and telecommunications ecosystem
• Role of MEC in digital transformation
• Case Study & Practical Application: Evaluation of a telecommunications operator's transition from cloud-centric architecture to an edge-enabled network to improve service performance and reduce latency.

Module 2: MEC Architecture and Telecom Network Integration

• MEC reference architecture
• MEC platforms and infrastructure components
• Integration with 4G, 5G, and converged networks
• Network Function Virtualization (NFV) and Software-Defined Networking (SDN)
• MEC orchestration and management
• Service enablement platforms
• Case Study & Practical Application: Designing a MEC deployment architecture for a mobile network operator supporting enterprise and consumer digital services.

Module 3: Low-Latency Applications and Edge Service Delivery

• Real-time application requirements
• Video analytics and content delivery optimization
• IoT and Industrial IoT applications
• Autonomous systems and connected vehicles
• Smart city applications
• AI and machine learning at the edge
• Case Study & Practical Application: Developing an edge-enabled smart city solution to support intelligent traffic management and public service delivery.

Module 4: MEC Security, Governance and Operations

• Security challenges in distributed environments
• Identity and access management
• Data privacy and protection
• Threat detection and incident response
• Governance frameworks and regulatory compliance
• Operational monitoring and performance management
• Case Study & Practical Application: Conducting a security assessment and governance review for a multi-site MEC deployment supporting critical business operations.

Module 5: Edge Deployment Strategies and Industry Applications

• Edge infrastructure planning and deployment models
• Public, private, and hybrid MEC environments
• Business models and monetization opportunities
• Fixed Wireless Access (FWA) and edge-enabled services
• Emerging trends including AI-powered edge computing and 6G readiness
• Future roadmap for MEC adoption
• Case Study & Practical Application: Development of a comprehensive MEC deployment strategy and business case for a telecommunications operator seeking to expand digital service offerings through edge computing.