Operationalize AI responsibly with Azure AI Foundry

2 hr 33 min
Learning Path
3 Modules

At a glance

Level

Beginner
Product

Azure Azure AI services Azure AI Content Safety
Role

Developer

Explore Azure AI Foundry's tools for generative AI security, privacy, and quality. Shift from reactive risk management to agile, responsible-by-design governance for better observability and efficiency.

Prerequisites

An Azure subscription – Create one for free
Familiarity with Azure and the Azure portal
Ability to understand Python at a beginner level
Developing in browser:
- GitHub account
Developing locally:
- Docker desktop
- Visual Studio Code
  - Dev Containers extension

Start

Modules in this learning path

Implement generative AI guardrails in Azure AI Foundry

40 min
Module
11 Units

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

Start

Introduction 2 min
Azure AI Content Safety 2 min
Preparation 5 min
Harm categories and severity levels 3 min
Exercise - Text guardrails 5 min
Exercise - Image guardrails 4 min
Exercise - Groundedness detection 5 min
Exercise - Prompt shields 5 min
Exercise - Integrate with the Contoso Camping Store platform 3 min
Knowledge check 4 min
Summary 2 min

Implement generative AI guardrails with Azure AI Content Safety

38 min
Module
11 Units

Learn how to implement generative AI guardrails with Azure AI Content Safety.

Measure and mitigate risks for a generative AI app in Azure AI Foundry

1 hr 15 min
Module
10 Units

Learn how to measure and mitigate risks for a generative AI app leveraging responsible AI tools and features within Azure AI Foundry.

This module is a guided project. You complete an end-to-end project by following step-by-step instructions.