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Microsoft

Operationalize AI responsibly with Azure AI Foundry

Microsoft via Microsoft Learn

Overview

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  • Learn how to choose and configure generative AI guardrails in Azure AI Foundry.

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

    • Configure filters and threshold levels to block harmful content.
    • Perform text and image moderation for harmful content.
    • Analyze and improve the Precision, Recall, and F1 score metrics.
    • Detect groundedness in a model's output.
    • Identify and block AI-generated copyrighted content.
    • Mitigate direct and indirect prompt injections.
    • Send filter configurations as output to code.
  • Learn how to implement generative AI guardrails with Azure AI Content Safety.

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

    • Perform text and image moderation for harmful content.
    • Detect groundedness in a models output.
    • Identify and block AI-generated copyrighted content.
    • Mitigate direct and indirect prompt injections.
  • Learn how to measure and mitigate risks for a generative AI app leveraging responsible AI tools and features within Azure AI Foundry.

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

    • Upload data and create an index
    • Set up a system message
    • Create and add a content filter
    • Execute a manual evaluation
    • Execute and analyze an AI-assisted evaluation

Syllabus

  • Implement generative AI guardrails in Azure AI Foundry
    • Introduction
    • Azure AI Content Safety
    • Preparation
    • Harm categories and severity levels
    • Exercise - Text guardrails
    • Exercise - Image guardrails
    • Exercise - Groundedness detection
    • Exercise - Prompt shields
    • Exercise - Integrate with the Contoso Camping Store platform
    • Module assessment
    • Summary
  • Implement generative AI guardrails with Azure AI Content Safety
    • Introduction
    • Azure AI Content Safety
    • Prepare
    • Harm categories and severity levels
    • Exercise - Text guardrails
    • Exercise - Image guardrails
    • Exercise - Groundedness detection
    • Exercise - Prompt shields
    • Exercise - Integrate with the Contoso Camping Store platform
    • Module assessment
    • Summary
  • Measure and mitigate risks for a generative AI app in Azure AI Foundry
    • Introduction
    • Prepare
    • Choose and deploy a model
    • Upload data and create an index
    • Create a system message
    • Create a content filter
    • Run a manual evaluation
    • Run and compare automated evaluations
    • Module assessment
    • Summary

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