Exposing legacy Lambdas as agent tools via AWS Bedrock AgentCore Gateway | Amazon Web Services скачать в хорошем качестве

Exposing legacy Lambdas as agent tools via AWS Bedrock AgentCore Gateway | Amazon Web Services

Transform your existing AWS Lambda functions into powerful AI agent tools without writing a single line of new code! Join AWS Sr. Technical Account Manager Arun Nagpal and ML/GenAI expert Abdul Qadir as they demonstrate how Amazon Bedrock AgentCore Gateway revolutionizes enterprise AI adoption. What You'll Learn: • How to expose legacy Lambda functions as AI agent tools with zero refactoring • Enterprise-grade security and authentication for AI agent workflows • Real-world demo: AWS Health Organization monitoring with intelligent agents • Building conversational AI interfaces using Strands Agents and Claude 3.5 Sonnet • Production deployment strategies and best practices • Cost optimization and monitoring considerations Key Technologies Covered: Amazon Bedrock AgentCore Gateway AWS Lambda integration patterns Model Context Protocol (MCP) implementation Strands Agents framework Claude 4.x Sonnet for reasoning Streamlit for rapid UI development Why This Matters: Instead of rewriting existing infrastructure, learn how to leverage your current AWS investments as intelligent agent tools. This approach eliminates technical debt, reduces risk, and accelerates time-to-value for enterprise AI initiatives. Real-World Use Cases: Operational health monitoring across AWS Organizations Cost optimization and billing analysis Compliance auditing and risk assessment Incident response automation Multi-team workflow coordination Resources & Documentation: AWS Documentation: • Amazon Bedrock AgentCore: https://go.aws/45JAHKa • AWS Lambda Developer Guide: https://go.aws/3NyoC4d • AWS Health API Reference: https://go.aws/3NlcrYx Code Samples: • AWS Bedrock AgentCore Samples: https://go.aws/4pp0G0v • Lambda Function Examples: https://go.aws/4jFpoZl Community & Learning: • AWS Machine Learning Blog: https://go.aws/3NyoJg9 • AWS Builders Community: https://go.aws/49bLwa9 • AWS re:Invent Sessions: https://go.aws/4prqSre About the Speakers: Arun Nagpal - Sr. Technical Account Manager at AWS Abdul Qadir - Machine Learning and GenAI transformation expert Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more 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 is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWS #AmazonWebServices #CloudComputing #MachineLearning #AI #Lambda #AmazonBedrock