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 can gain the ability to debug production AI agents that fail silently -- such as returning incorrect answers, entering infinite loops, or selecting wrong tools -- using Amazon Bedrock AgentCore Observability. The course covers how to use metrics, traces, and structured logs to follow agent reasoning steps, inspect tool invocations, and identify where execution diverges from expectations. Participants will learn structured workflows for resolving common failure patterns, moving beyond simple failure detection to understanding why failures occur, even when no explicit errors are raised.
