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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