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Course Outline

Introduction to IoT and Edge Computing

  • Overview of key concepts in IoT and edge computing.
  • Advantages of IoT for real-time data processing.
  • Comparison of edge computing versus cloud computing.

IoT Architecture and Components

  • Essential elements of IoT systems: sensors, gateways, and devices.
  • IoT data flow and communication protocols.
  • Strategies for designing secure and scalable IoT architectures.

Edge Computing Fundamentals

  • Understanding edge computing and its importance.
  • Edge devices and their processing capabilities.
  • Data storage and analytics performed at the edge.

Use Cases in Digital Transformation

  • Applications of IoT and edge computing in manufacturing.
  • Use cases in logistics and supply chain management.
  • Energy management and optimization via edge solutions.

Implementing Predictive Maintenance

  • Introduction to predictive maintenance using IoT.
  • Utilizing edge computing for real-time monitoring.
  • Case studies highlighting predictive maintenance applications.

Security and Privacy in IoT and Edge Computing

  • Challenges associated with securing IoT and edge computing environments.
  • Data protection measures and compliance requirements.
  • Best practices for securing edge devices and IoT systems.

Future Trends in IoT and Edge Computing

  • Emerging technologies shaping IoT and edge capabilities.
  • The role of 5G integration in enhancing IoT and edge computing.
  • Opportunities and challenges for businesses adopting edge solutions.

Summary and Next Steps

Requirements

  • Foundational knowledge of cloud computing and data processing concepts.
  • Familiarity with IoT devices and fundamental networking principles.

Target Audience

  • IT professionals and developers interested in exploring IoT and edge computing solutions.
  • Business leaders aiming to leverage IoT and edge computing for digital transformation.
  • Operations managers within the manufacturing, logistics, and energy industries.
 14 Hours

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