KubeEdge Hands on Workshop - Build Your Edge AI App on Real Edge Devices

Overview

Hands-on workshop for building edge AI applications using KubeEdge. Learn to deploy edge nodes, set up device connectivity, and develop video stream processing with machine learning in just 30 minutes.

Syllabus

• Introduction to Edge Computing and KubeEdge
Overview of Edge Computing concepts
Introduction to KubeEdge and its architecture
Benefits of using KubeEdge for edge AI applications
• Setting Up the Environment
Prerequisites and tools required
Installing and configuring KubeEdge
Setting up a Kubernetes cluster
• Deploying Edge Nodes
Configuring edge nodes
Registering and managing nodes in KubeEdge
Understanding node status and monitoring
• Device Connectivity
Connecting IoT devices to edge nodes
Configuring device communication protocols
Managing and monitoring connected devices
• Developing Edge AI Applications
Introduction to machine learning model deployment on edge devices
Building a video stream processing application
Integrating machine learning models with video feeds
• Hands-on Lab: Building Your Edge AI Application
Step-by-step guide to deploying a sample edge AI app
Using KubeEdge tools for application management
Troubleshooting common issues
• Conclusion and Next Steps
Best practices for edge AI application development
Resources for further learning
Q&A and discussion
• Final Project (Optional)
Design and deploy a custom edge AI application
Presenting results and feedback session

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Subjects

Conference Talks