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Starts 6 July 2025 19:12

Ends 6 July 2025

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

Participate in a dynamic hands-on workshop designed for developing edge AI applications using KubeEdge. Experience firsthand how to effectively deploy edge nodes, establish robust device connectivity, and craft video stream processing solutions with machine learning—all within a brisk 30-minute session. This workshop is perfect for anyone int.
CNCF [Cloud Native Computing Foundation] via YouTube

CNCF [Cloud Native Computing Foundation]

2825 Courses


1 hour 18 minutes

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Conference Talk

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Overview

Participate in a dynamic hands-on workshop designed for developing edge AI applications using KubeEdge. Experience firsthand how to effectively deploy edge nodes, establish robust device connectivity, and craft video stream processing solutions with machine learning—all within a brisk 30-minute session.

This workshop is perfect for anyone interested in artificial intelligence and machine learning, whether you’re just starting or looking to enhance your skills with practical experience.

You’ll leave equipped with the knowledge to build and deploy powerful AI solutions on real edge devices using KubeEdge.

Hosted by YouTube, this event is part of a series that includes Artificial Intelligence Courses and Conference Talks, providing a comprehensive learning platform for AI professionals and enthusiasts alike.

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

Subjects

Conference Talks