Azure AI Content Safety: Content Moderation Solutions for AI-102

In an era of rapid digital interaction, keeping user-generated content safe and compliant is a critical priority for modern applications. This text-based course guides you through implementing automated moderation systems using cloud-based AI tools. You will learn how to safeguard your platforms from harmful text and images while laying a solid foundation for the Azure AI Engineer Associate (AI-102) certification. Through clear explanations and structured code examples, you will transition from understanding basic safety concepts to deploying active moderation workflows. You will explore how to detect hate speech, self-harm, sexual content, and violence, alongside modern security challenges like prompt injection attacks and jailbreaks. What you'll learn: - Understand core content safety principles, severity levels, and moderation blocklists - Configure text moderation models to detect profanity, hate speech, and harassment - Analyze images for adult content, violence, and inappropriate visual elements - Mitigate generative AI risks by detecting prompt injection and jailbreak attempts - Implement custom blocklists to tailor moderation to specific community guidelines - Integrate Content Safety APIs into existing backend applications using modern SDKs Starting with fundamental definitions and setup steps, this course walks you through configuring safety thresholds, testing API endpoints, and handling real-world moderation scenarios. It is designed specifically for beginners, software developers, and aspiring cloud engineers with no prior AI-102 experience. Start reading today to build safer digital environments and master essential cloud moderation skills.