Amazon Bedrock Operations and Controls

Running generative AI workloads in production introduces new security, governance, and cost-management challenges that traditional cloud controls do not fully address.
What you'll learn
Running generative AI workloads in production introduces new security, governance, and cost-management challenges that traditional cloud controls do not fully address. In this course, Amazon Bedrock Operations and Controls, you'll gain the ability to operate Amazon Bedrock workloads safely and predictably in production environments. First, you'll explore how to control access to Bedrock models using IAM permissions and least-privilege principles. Next, you'll discover how to apply Bedrock Guardrails to constrain model inputs and outputs and reduce safety and compliance risks. Finally, you'll learn how to identify operational failure modes and implement logging and monitoring strategies to support auditing, troubleshooting, and cost oversight. When you're finished with this course, you'll have the skills and knowledge of Amazon Bedrock operations and controls needed to run generative AI workloads responsibly under real-world security, compliance, and budget constraints.
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