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 hands-on experience building AI agents using the Strands Agents SDK powered by models deployed on Amazon SageMaker AI endpoints. The course covers deploying foundation models from SageMaker JumpStart, integrating them with Strands Agents, and setting up production-grade observability using SageMaker Serverless MLflow for agent tracing. Participants will also learn to implement A/B testing across multiple model variants and evaluate agent performance using MLflow metrics -- enabling them to build, deploy, and continuously improve AI agents on infrastructure they fully control.
