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 Duration 14 hours

Course Outline

Introduction to IoT and Edge Computing

  • A broad look at IoT and edge computing fundamentals.
  • The advantages of IoT for processing data in real time.
  • A comparative analysis of edge versus cloud computing.

IoT Architecture and Core Components

  • Essential parts of IoT ecosystems: sensors, gateways, and endpoints.
  • Understanding data streams and communication standards in IoT.
  • Constructing secure and scalable IoT frameworks.

Edge Computing Essentials

  • Defining edge computing and explaining its strategic importance.
  • The role of edge devices and their processing power.
  • Managing data storage and analytics at the network edge.

Applications in Digital Transformation

  • Utilizing IoT and edge computing in industrial manufacturing.
  • Enhancing logistics and supply chain operations.
  • Optimizing energy management through edge-based solutions.

Enabling Predictive Maintenance

  • Integrating IoT for predictive maintenance strategies.
  • Using edge computing to support continuous real-time monitoring.
  • Reviewing real-world case studies in predictive maintenance.

Security and Privacy in IoT and Edge Environments

  • Addressing security challenges in distributed IoT and edge networks.
  • Navigating data protection regulations and compliance requirements.
  • Applying best practices to secure edge devices and IoT infrastructure.

Future Directions in IoT and Edge Computing

  • Exploring emerging technologies in the IoT and edge space.
  • The role of 5G integration in advancing IoT and edge capabilities.
  • Weighing the opportunities and hurdles for businesses adopting edge strategies.

Key Takeaways and Future Actions

Requirements

  • Foundational knowledge of cloud computing frameworks and data processing principles.
  • Basic familiarity with IoT hardware and core networking concepts.

Target Audience

  • IT specialists and developers exploring IoT and edge computing technologies.
  • Executive leaders aiming to utilize these technologies to drive organizational digital change.
  • Operations professionals in the manufacturing, logistics, and energy fields.

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