This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact AWS Training and Certification Customer Support.
Learners will gain an understanding of how to implement centralized safeguards for generative AI applications using Amazon Bedrock Guardrails. The course covers enforcing consistent policies for prompt safety and sensitive data protection across multiple LLM providers -- both Amazon Bedrock and third-party services like Azure OpenAI. Participants will learn to use the ApplyGuardrail API, set up scalable infrastructure for a multi-provider generative AI gateway, and implement logging, monitoring, analytics, and chargeback mechanisms to support responsible AI use at enterprise scale.