Implementing Responsible Generative AI in AI Foundry

Deploying generative AI models requires more than just code; it demands safety, reliability, and ethical guardrails to protect users and systems. As AI applications expand, knowing how to implement content filters and mitigate risks is an essential skill for modern developers. This text-only course guides you through the foundational concepts and practical steps of deploying responsible generative AI solutions. You will learn how to identify potential harms, set up robust safety policies, and evaluate your models for safety and compliance using AI Foundry. What you'll learn: - Understand the core principles of responsible generative AI and risk assessment - Configure content safety filters and guardrails within the AI Foundry portal - Mitigate common AI risks such as jailbreaks, hallucinations, and prompt injection attacks - Evaluate model safety and performance using modern evaluation frameworks - Implement system prompts and safety guidelines for reliable user interactions. You will start by exploring foundational responsible AI principles before diving into the configuration of guardrails, content filters, and evaluation metrics in AI Foundry. Through detailed explanations and structured text-based scenarios, you will build a solid framework for deploying safe AI applications. This course is designed for beginners, developers, and AI enthusiasts who want to learn safety practices without needing prior experience in model training. Start reading today to build generative AI solutions that are secure, ethical, and ready for real-world deployment.