Course Outline

Introduction to IoT and Edge Computing

  • Overview of IoT and edge computing concepts
  • Benefits of IoT for real-time data processing
  • Comparison of edge vs. cloud computing

IoT Architecture and Components

  • Key components of IoT systems: sensors, gateways, and devices
  • IoT data flow and communication protocols
  • Designing secure and scalable IoT architectures

Edge Computing Fundamentals

  • What is edge computing and why is it important?
  • Edge devices and processing capabilities
  • Data storage and analytics at the edge

Use Cases in Digital Transformation

  • IoT and edge computing in manufacturing
  • Applications in logistics and supply chain
  • Energy management and optimization through edge solutions

Implementing Predictive Maintenance

  • Introduction to predictive maintenance with IoT
  • Leveraging edge computing for real-time monitoring
  • Case studies in predictive maintenance applications

Security and Privacy in IoT and Edge Computing

  • Challenges in securing IoT and edge computing environments
  • Data protection and compliance considerations
  • Best practices for securing edge devices and IoT systems

Future Trends in IoT and Edge Computing

  • Emerging technologies in IoT and edge
  • 5G integration and its impact on IoT and edge computing
  • Opportunities and challenges for businesses adopting edge solutions

Summary and Next Steps

Requirements

  • Basic understanding of cloud computing and data processing concepts
  • Familiarity with IoT devices and networking fundamentals

Audience

  • IT professionals and developers interested in IoT and edge computing solutions
  • Business leaders looking to leverage IoT and edge computing for digital transformation
  • Operations managers in manufacturing, logistics, and energy sectors
 14 Hours

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