AI-900 LAB - Prevent Harmful Content in Azure AI Foundry Portal
Welcome to this AI-900 lab session, where we explore how to prevent harmful content using Azure AI Foundry Portal. As AI models become more powerful, ensuring safe and responsible AI usage is critical. Microsoft Azure AI Foundry provides built-in content moderation and safety controls to detect and filter toxic, biased, or inappropriate content from AI-generated outputs.
In this step-by-step tutorial, we’ll demonstrate how to implement content safety measures, configure moderation tools, and enforce ethical AI guidelines in Azure AI Foundry.
🔍 What You’ll Learn in This Video:
1️⃣ Understanding Harmful Content Risks in AI Applications
2️⃣ Azure AI Foundry’s Responsible AI Features & Content Moderation
3️⃣ Configuring Safety Filters & Content Policies
4️⃣ Implementing AI Guardrails to Prevent Misinformation & Bias
5️⃣ Testing AI Models for Safety & Compliance
6️⃣ Best Practices for Ethical AI Development in Azure
🛠️ Who Is This For?
AI & ML Enthusiasts exploring Responsible AI principles
Developers & data scientists working with AI content moderation
Professionals preparing for the Microsoft AI-900 Certification
Businesses & organizations ensuring AI compliance & safety
📌 Key Highlights:
✅ Hands-on demo of Azure AI Foundry’s Content Moderation tools
✅ How to filter and block harmful AI-generated content
✅ Best practices for responsible AI deployment in enterprises
✅ Real-world applications in social media, chatbots, and customer support
💡 Learn how to build safer AI applications with Azure AI Foundry today!
🔗 Additional Resources:
👉 Azure AI Foundry Documentation: https://microsoftlearning.github.io/m...
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Chapters:
0:00 - 1:21 - Intro
01:21 - 04:24 - Create an AI hub and project in the Azure AI Foundry portal
04:24 - 05:11 - Deploy a model
05:11 - 10:30 - Explore content filters
10:30 - 12:35 - Generate natural language output
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