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Starts 7 June 2025 18:23
Ends 7 June 2025
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KubeEdge Hands on Workshop - Build Your Edge AI App on Real Edge Devices
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.
CNCF [Cloud Native Computing Foundation]
via YouTube
CNCF [Cloud Native Computing Foundation]
2544 Courses
1 hour 18 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Conference Talk
Optional upgrade avallable
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
- Setting Up the Environment
- Deploying Edge Nodes
- Device Connectivity
- Developing Edge AI Applications
- Hands-on Lab: Building Your Edge AI Application
- Conclusion and Next Steps
- Final Project (Optional)
Overview of Edge Computing concepts
Introduction to KubeEdge and its architecture
Benefits of using KubeEdge for edge AI applications
Prerequisites and tools required
Installing and configuring KubeEdge
Setting up a Kubernetes cluster
Configuring edge nodes
Registering and managing nodes in KubeEdge
Understanding node status and monitoring
Connecting IoT devices to edge nodes
Configuring device communication protocols
Managing and monitoring connected devices
Introduction to machine learning model deployment on edge devices
Building a video stream processing application
Integrating machine learning models with video feeds
Step-by-step guide to deploying a sample edge AI app
Using KubeEdge tools for application management
Troubleshooting common issues
Best practices for edge AI application development
Resources for further learning
Q&A and discussion
Design and deploy a custom edge AI application
Presenting results and feedback session
Subjects
Conference Talks
