Agentic AI Design Patterns Introduction and walkthrough | Amazon Web Services

The video explores four foundational design patterns in agentic AI systems: reflection, tool use, planning, and multi-agent collaboration. These patterns represent the evolution of AI from basic problem-solving to sophisticated autonomous systems capable of making complex decisions with minimal human oversight. Through practical examples using Amazon Bedrock, the video demonstrates how AI agents can self-evaluate, utilize external tools, break down complex tasks, and collaborate effectively. The presentation emphasizes how these patterns enable AI systems to work independently and cooperatively while adapting to various challenges, ultimately transforming traditional work processes and industry operations through enhanced decision-making capabilities. Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster. #AWS #AmazonWebServices #CloudComputing