Learning Outcomes
Participants will be able to:
- Understand edge computing architecture
- Differentiate cloud, fog, and edge computing
- Design edge-enabled solutions
- Deploy IoT applications at the edge
- Implement edge analytics
- Explore Industry 4.0 applications
Module-wise Course Content
Module 1: Introduction to Edge Computing
- Evolution from Cloud to Edge
- Need for Edge Computing
- Edge Computing Architecture
- Benefits and Challenges
- Industry Applications
Module 2: Edge Computing Infrastructure
- Edge Devices
- Sensors and Gateways
- Micro Data Centers
- Edge Platforms
- Edge Resource Management
Module 3: Internet of Things (IoT) Integration
- IoT Fundamentals
- Sensor Networks
- Data Collection Mechanisms
- Edge-enabled IoT Systems
- Smart Device Management
Module 4: Edge Analytics
- Real-time Data Processing
- Stream Analytics
- AI at the Edge
- Predictive Analytics
- Event Processing
Module 5: Networking for Edge Computing
- 5G and Edge Computing
- Low Latency Communication
- Edge Networking Protocols
- Distributed Architectures
- Software Defined Networking
Module 6: Security and Privacy
- Edge Security Challenges
- Device Authentication
- Secure Data Transmission
- Privacy Preservation
- Risk Management
Module 7: Industrial Applications
- Smart Cities
- Healthcare Systems
- Autonomous Vehicles
- Manufacturing Automation
- Smart Agriculture
Module 8: Edge Computing Project
- Smart Monitoring System
- Real-Time IoT Analytics
- Edge AI Demonstration
- Project Presentation
Tools Covered
- Raspberry Pi
- EdgeX Foundry
- AWS IoT Core
- Azure IoT Hub
- Node-RED
- MQTT
Offered by: Azraa Institute of Information Technology
Mode: Online | Live Instructor-Led Sessions | Industry-Oriented Projects | Certification Included.
