Foundations of Bedrock Guardrails for Responsible AI

Deploying generative AI applications requires robust security measures to prevent harmful outputs and protect sensitive user information. This text-based course guides you through establishing safe, responsible AI systems using Bedrock Guardrails. You will transition from understanding basic AI safety concepts to actively configuring policies that filter undesirable content, block specific topics, and redact personally identifiable information (PII). What you'll learn: - Understand the core principles of AI safety, alignment, and responsible AI deployment. - Configure content filters to detect and block harmful or inappropriate language. - Define denied topics to keep your AI application focused and on-brand. - Redact personally identifiable information (PII) to maintain strict data privacy standards. - Implement custom word filters to block specific terms and competitive references. - Apply modern zero-trust security concepts to your generative AI integration workflow. The course begins with foundational definitions of AI safety before guiding you through structured, text-based scenarios to build and test security policies step by step. This course is designed for beginner developers, product managers, and security enthusiasts; no prior experience with AI safety tools is required. Start learning today to build safer, more trustworthy AI applications.