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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