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Duration 14 hours
Course Outline
Introduction to IoT and Edge Computing
- Overview of fundamental IoT and edge computing concepts
- Advantages of IoT for real-time data processing
- Comparative analysis of edge versus cloud computing
IoT Architecture and Components
- Essential elements of IoT systems: sensors, gateways, and devices
- Understanding IoT data flows and communication protocols
- Designing secure and scalable IoT architectures
Edge Computing Fundamentals
- Defining edge computing and its strategic importance
- Edge device capabilities and processing power
- Edge-level data storage and analytics
Digital Transformation Use Cases
- Application of IoT and edge computing in manufacturing environments
- Leveraging IoT and edge solutions in logistics and supply chains
- Energy management and optimization through edge computing
Implementing Predictive Maintenance
- Introduction to IoT-enabled predictive maintenance
- Utilizing edge computing for real-time monitoring and analysis
- Case studies illustrating predictive maintenance applications
Security and Privacy in IoT and Edge Computing
- Addressing security challenges in IoT and edge computing environments
- Considerations for data protection and regulatory compliance
- Best practices for securing edge devices and IoT systems
Future Trends in IoT and Edge Computing
- Emerging technologies shaping the future of IoT and edge
- The impact of 5G integration on IoT and edge computing
- Business opportunities and challenges associated with adopting edge solutions
Summary and Recommended Next Steps
Requirements
- Foundational knowledge of cloud computing and data processing principles
- Familiarity with IoT devices and basic networking concepts
Target Audience
- IT professionals and developers seeking to master IoT and edge computing solutions
- Business executives aiming to leverage IoT and edge computing for digital transformation
- Operations managers working in manufacturing, logistics, and energy sectors