Implementing AI Safety and Governance with Bedrock

Building generative AI applications is easier than ever, but ensuring they are safe, secure, and compliant poses a significant challenge. Developers must proactively protect systems against prompt injections, data leaks, and harmful outputs without slowing down innovation. This text-based course guides you through establishing robust AI safety, security, and governance policies using Bedrock. You will transition from understanding core security concepts to implementing practical guardrails and governance frameworks that protect your applications and users. What you'll learn: Understand foundational AI safety, security, and governance principles for large language models; Configure Bedrock Guardrails to block toxic content, sensitive data, and unwanted topics; Implement defenses against common vulnerabilities, including prompt injection and jailbreaking; Apply data privacy best practices to ensure user information remains secure and compliant; Establish monitoring and auditing workflows to track model behavior and enforce governance policies. The course begins with essential terminology and the foundational pillars of AI safety. From there, you will progress through written explanations, architectural patterns, and code snippets demonstrating how to configure security layers and validate outputs directly within Bedrock. This course is designed for beginner developers, cloud enthusiasts, and technical professionals looking to secure generative AI systems. No prior experience with AI security or Bedrock is required. Start reading today to build generative AI applications that are secure by design.