Edge Computing for IoT
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This course introduces edge computing as a critical component of modern IoT architectures.
It covers edge vs cloud computing, edge devices and gateways, local data processing, integration with cloud platforms, and real-world edge-enabled IoT use cases.
Learning Outcomes:
✔ Understand edge computing concepts and benefits
✔ Differentiate edge, fog, and cloud computing
✔ Implement data processing at the edge
✔ Design low-latency and bandwidth-efficient IoT systems
✔ Integrate edge devices with cloud platforms
✔ Improve reliability and real-time decision making
✔ Apply edge computing in real-world IoT scenarios
- Hands-on edge computing demonstrations
- Real-world edge-enabled IoT examples
- Cloud and edge integration practice
- Architecture design exercises
- Completion certificate
- IoT developers and engineers
- Embedded systems professionals
- Engineering students & freshers
- Cloud and edge solution architects
- Industrial IoT learners
- Laptop or desktop
- Edge-capable device (Raspberry Pi / Industrial Gateway recommended)
- Basic IoT and programming knowledge
- Basic cloud platform familiarity (helpful)
- 8 Sections
- 8 Lessons
- 4 Weeks
- Introduction to Edge Computing for IoT1
- Edge vs Cloud vs Fog Computing1
- Edge Devices & Gateways1
- Data Processing & Analytics at the Edge1
- Communication Between Edge & Cloud1
- Security & Management at the Edge1
- Edge Computing Use Cases1
- End-to-End Edge-Enabled IoT Projects1
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