Bringing AI to the Edge - On Premise Azure Cognitive Services - Open Source

Overview

Explore Azure Cognitive Services containers for on-premise AI, with demos of local Face and Text services. Learn to configure and implement edge AI solutions.

Syllabus

• Introduction to AI on the Edge
Understanding Edge AI
Benefits of On-Premise AI Deployments
• Overview of Azure Cognitive Services
Introduction to Azure Cognitive Services
Key Services: Face, Text, and More
• Setting Up On-Premise AI Solutions
Azure Cognitive Services Containers
Installation and Configuration
• Face Recognition and Analysis
Local Face Service Configuration
Implementation Best Practices
Hands-On Demo: Setting Up Face Service
• Text Processing at the Edge
Local Text Processing Configuration
Implementation Best Practices
Hands-On Demo: Setting Up Text Service
• Integrating Azure Cognitive Services with Existing Infrastructure
Data Security and Privacy Considerations
Managing Resources and Scaling Solutions
• Open Source and Community Tools
Overview of Relevant Open Source Tools
How to Leverage Community Contributions
• Building Edge AI Applications
Design Considerations for Edge AI
Use Cases and Industry Applications
• Monitoring and Maintenance
Monitoring Systems for Performance and Reliability
Updating and Maintaining AI Services
• Real-World Case Studies
Successful Implementations of Edge AI
Lessons Learned and Best Practices
• Course Conclusion and Next Steps
Recap and Key Takeaways
Further Learning Resources and Opportunities

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Subjects

Conference Talks