Scale responsible AI governance with Azure AI Content Safety and Microsoft Foundry

  • Module
  • 7 Units
Advanced
AI Engineer
Solution Architect
Azure
Microsoft Foundry

Scale responsible AI governance to enterprise multi-agent systems using Azure AI Content Safety and Microsoft Foundry. Design systematic fairness and bias monitoring pipelines for agent decision chains, implement transparency and explainability mechanisms for complex multi-agent outputs, configure privacy protection for multi-agent data pipelines, and establish audit trail frameworks for enterprise accountability.

Learning objectives

By the end of this module, you'll be able to:

  • Design systematic fairness and bias monitoring pipelines for multi-agent decision chains
  • Implement transparency and explainability mechanisms that trace complex agent outputs to their sources
  • Configure privacy protection and data minimization for multi-agent data handling pipelines
  • Establish accountability frameworks with complete audit trails for enterprise agent deployments

Prerequisites

Before starting this module, you should have:

  • Understanding of responsible AI principles and content filtering in Microsoft Foundry
  • Experience implementing content safety controls with Azure AI Content Safety
  • Familiarity with the Azure AI Evaluation SDK
  • Experience deploying agents to Microsoft Foundry
  • Proficiency in Python

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