Azure AI for Developers: Content Safety and Responsible AI

Course details

In this course, Sammy Deprez—a seasoned Data and AI Solution architect—explores Azure AI Content Safety and equips you with the tools you will need to build responsible AI solutions. Learn how to implement robust content filtering mechanisms to detect and moderate harmful content, so that you can ensure your applications align with safety, ethics, and trustworthiness principles. Discover how to identify and block hate speech, violence, sexual content, and self-harm indicators, using Azure's content safety APIs. Gain insights into advanced features like prompt shields and groundedness checks. Explore real-world applications, such as moderating user content in social media platforms, chat applications, or AI-generated content. By the end of the course, you'll be able to confidently deploy safer AI applications that protect users and enhance content quality.

Learning objectives
Understand the principles and importance of responsible AI as well as Microsoft's approach to responsible AI.
Identify the key features and applications of Azure AI Content Safety.
Implement content safety measures when using LLMs.
Meet compliance requirements and protect your data.

Concepts

0. Introduction

01 - Responsible AI and this course
02 - What you should know

1. Introduction to Responsible AI

03 - Overview of responsible AI
04 - Ethical considerations in AI
05 - The Microsoft responsible AI framework

2. Understanding Azure AI Content Safety

06 - Introduction to Azure AI Content Safety
07 - Key features and capabilities
08 - Use cases and applications

3. Large Language Models (LLMs) and Content Safety

09 - Introduction to LLMs
10 - Challenges with LLMs
11 - Ensuring content safety with LLMs

4. Implementing Azure AI Content Safety

12 - Setting up Azure AI Content Safety
13 - Using content safety APIs
14 - Customizing content filters
15 - Content safety in Azure OpenAI

5. Advanced Features for LLMs

16 - Prompt shields
17 - Groundedness detection
18 - Protected material detection
19 - Bringing it all together

6. Security and Compliance

20 - Built-in security features
21 - Compliance with industry standards
22 - Data privacy and protection

Conclusion

23 - Reviewing key concepts
24 - Additional resources for continued learning