Course Outline

Module 1: Introduction to Edge Computing

• What is Edge Computing and Understanding the need for edge computing
• Key concepts and definitions
• Edge computing vs. cloud computing
• Real-world use cases

Module 2: Edge Devices and Sensors

• Types of edge devices and sensors
• IoT architecture and communication protocols
• Device management and security
• Edge device selection criteria

Module 3: Edge Computing Infrastructure

• Fog Computing vs. Edge Computing
• Edge computing architecture
• Edge servers, gateways, and micro data centers
• Network topology for edge environments
• Hardware and software requirements

Module 4: Edge Computing Software Stack

• Edge operating systems and containerization
• Edge data processing frameworks
• Orchestration and management tools
• Security and compliance considerations

Module 5: Developing Edge Applications

• Edge application development platforms
• Programming languages and frameworks
• Building and deploying edge applications
• Debugging and testing in edge environments

Module 6: Edge Analytics and Machine Learning

• Edge analytics for real-time insights
• Machine learning at the edge
• Model deployment and optimization
• Anomaly detection and predictive maintenance

Module 7: Security and Privacy in Edge Computing

• Threats and vulnerabilities in edge environments
• Edge security best practices
• Data privacy and compliance regulations
• Securing communication and data at the edge

Module 8: Edge Computing Use Cases

• Smart cities and IoT applications.
• Edge in industrial automation.
• Healthcare and autonomous vehicles.