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Learn to build and deploy self-improving agentic systems on AWS in this 55-minute tutorial led by Isaac Privitera, Principal Data Scientist at AWS Generative AI Innovation Center. Discover how to create intelligent systems that analyze their own performance and generate refinement recommendations using the Strands SDK and Amazon Bedrock AgentCore. Master the implementation of multi-agent systems that continuously evolve through user feedback and interaction data analysis. Explore best practices for deploying these sophisticated systems on AWS infrastructure while implementing self-refinement mechanisms powered by trace analysis and contrastive reasoning. Gain hands-on experience with collecting and applying user feedback to drive continuous improvements in your agentic systems, enabling them to become more effective over time through automated learning and adaptation processes.
Syllabus
Tutorial: Building a Self-Improving Agentic System with AWS
Taught by
Data Science Dojo