Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation
Machine Learning Blog
This article demonstrates how to deploy AI agents using Amazon Bedrock AgentCore with AWS CloudFormation infrastructure-as-code templates.
- Infrastructure-as-code reduces deployment time from hours to minutes with automated validation
- Weather activity planner example uses AgentCore Browser, Code Interpreter, Runtime, and Memory
- CloudFormation template automates provisioning of multi-component AI agent infrastructure
- AgentCore Observability integrates with CloudWatch, DataDog, Arize Phoenix, LangSmith, LangFuse
- Best practices include modular architecture, parameterized templates, IAM least privilege, monitoring
- Templates are reusable and customizable for various business domains and use cases
CloudFormation templates enable rapid, consistent deployment of production-ready AI agents while reducing manual configuration complexity and improving operational reliability.
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