Building Trusted AI Agents with Microsoft

Architecting AI Safety: Explore Azure AI's technical guardrails implementing trustworthy AI principles. We'll deep-dive into Content Safety implementation, model control mechanisms, configurable content filtering, and blocklist deployment. Learn practical approaches to responsible AI development through Azure AI Services' system messages and limited access features—essential knowledge for production-ready AI systems.

The session will focus on:
Practical implementation of Azure AI safety guardrails, including content filtering, blocklists, and system message controls for responsible AI development.

What will the attendees learn from this session?
Attendees will master Azure AI safety implementation techniques, including content filtering configuration, blocklist deployment, and system message controls for building trustworthy AI applications.

Read More:
https://aka.ms/ResponsibleAIatMicrosoft
https://aka.ms/AIforAzureAIFoundry

Speaker Bio- Sunil Kumar
Cloud Consultant and corporate trainer in cloud technologies. 16+ years of total working experience in teaching, training, and industry. An aspiring community builder, content creator on YouTube, Medium, and LinkedIn. A technical events and conferences enthusiast and toastmaster.

Social Handles of the speaker:
https://www.linkedin.com/in/cloudwithsunil/
https://www.youtube.com/@sunilkumarOnCloud
https://medium.com/@suniel.vns

Pre-requisites:
Azure subscription for the hands-on, Azure AI Foundry basic knowledge