Global Certificate Course in Edge Computing Trends for Logistics
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Course details
• 1. Fundamentals of Edge Computing: An introduction to the concept, history, and evolution of edge computing, including its relationship with cloud computing and the Internet of Things (IoT).
• 3. Edge Infrastructure: Design and implementation of edge computing infrastructure, including edge servers, gateways, and devices.
• 3.2 Internet of Things (IoT) Fundamentals: Introduction to the concept, history, and evolution of the Internet of Things (Io4.
4.2.3 Edge Data Processing: Processing and analysis of data at the edge, including data analytics, machine learning, and cybersecurity.
3.3.4 Edge Cloud Integration: Integration of edge computing with cloud computing, including edge-to-cloud data transfer and cloud-based services.
3.1.5 Edge Device Security: Security threats and countermeasures associated with edge devices, including device hardening, secure boot, and network segmentation.
3.5.3 Industry Applications: Applications of edge computing in industries, including smart homes, industrial automation, and healthcare.
3.5.3.2 Specialized View of Logistics: Specialized view of edge computing in the context of logistics, including use cases such as supply chain monitoring and track-and-trace systems.
4.4.4 Edge-Bound AI: Implementation of AI at the edge, including edge-AI based services and applications.
44.4.4.4 Advanced Edge Security: Advanced security techniques and countermeasures for edge computing in logistics, including the use of blockchain and edge-based identity management systems.
44.4.5 Advanced Edge Automation: Advanced automation techniques for edge computing in logistics, including the use of edge-based workflows and smart factories.
35.2.2 Review of Applications
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