Get in Touch

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

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

Audience

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

Number of participants


Price per participant

Upcoming Courses

Related Categories