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Starts 24 June 2025 21:17
Ends 24 June 2025
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1 hour 2 minutes
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Conference Talk
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Overview
Explore edge computing and AI for building intelligent offline apps. Learn about the AI Toolkit for Azure IoT Edge and create image classifiers using various techniques for offline deployment.
Syllabus
- Introduction to Edge Computing
- Overview of AI in Edge Computing
- Introduction to Azure IoT Edge
- AI Toolkit for Azure IoT Edge
- Image Classification on the Edge
- Creating Image Classifiers
- Developing Offline AI Applications
- Deployment of AI Models on Edge Devices
- Hands-on Project
- Best Practices and Future Trends
- Course Conclusion and Q&A
Definition and benefits of edge computing
Key differences between edge and cloud computing
Use cases for AI on the edge
Challenges and opportunities
Overview of the Azure IoT Edge platform
Setting up Azure IoT Edge environment
Components of the AI Toolkit
Integrating AI models into IoT Edge
Basics of image classification
Popular image classification algorithms
Supervised learning techniques
Transfer learning for image classification
Designing AI models for offline use
Optimizing models for performance on edge devices
Packaging and deploying AI models
Managing AI models and updates on edge devices
Building a simple image classifier for offline deployment
Testing and evaluating the model on edge devices
Best practices for edge AI deployment
Emerging trends in AI and edge computing technologies
Recap of key concepts
Open floor for questions and discussion
Subjects
Conference Talks