Official technical community of Amazon Cloud. Shares practical AI/ML, big data, database, modern app development, IoT content, offers comprehensive learning resources, hosts regular developer events, and continuously empowers developers.
This article walks developers through two concrete Agentic AI projects—a Hong Kong weather chatbot built with Amazon Nova Act and a personalized math‑teaching agent using the open‑source Strands Agents framework—each accompanied by full implementation code and live demos.
The article explains how Amazon Bedrock AgentCore Memory transforms AI agents from short‑term responders into continuously learning entities by extracting valuable insights, integrating them intelligently, handling edge cases, supporting custom strategies, and delivering high compression rates and low latency for large‑scale deployments.
The article explains how Amazon Bedrock AgentCore enables healthcare providers to deploy AI agents at scale, integrate securely with FHIR‑based systems, meet HIPAA compliance, and streamline tasks such as vaccination appointment scheduling through a detailed architecture, workflow steps, pricing model, and future enhancements.
This article walks through deploying OpenAI's open‑source GPT‑OSS models on Amazon SageMaker, building a multi‑agent stock‑analysis workflow with LangGraph, and orchestrating the agents via Amazon Bedrock AgentCore, providing end‑to‑end code, configuration steps, and cleanup procedures.
This article walks through turning a simple proof‑of‑concept customer‑support AI agent into a production‑ready system by leveraging Amazon Bedrock AgentCore services—Memory, Gateway, Identity, Observability, and Runtime—while requiring only minimal code changes and no months of custom infrastructure work.
Amazon Bedrock AgentCore delivers an end‑to‑end, enterprise‑grade platform for building, deploying, and operating AI agents, offering built‑in security, observability, memory, tool integration, and runtime scaling that lets organizations move agents from pilot to production at scale.
This article provides a comprehensive technical guide on Agentic AI, detailing the core modules, infrastructure requirements, security considerations, observability practices, and deployment strategies needed to develop and operate production‑ready AI agents.
Claude Sonnet 4.5 is now available on Amazon Bedrock, offering upgraded agent capabilities such as tool use, memory management, and extended context handling, with new API features like smart window management, automatic tool‑record cleanup, and cross‑dialog memory, demonstrated through a Python Boto3 example that generates a detailed digital‑transformation plan.
The article demonstrates how Amazon Q Developer CLI can understand three.js, generate a mini‑game and automatically render video ads without writing any code or using an IDE, detailing the customer problem, solution architecture, step‑by‑step implementation, experimental validation, and cloud deployment options.
This article examines the common “list‑but‑cannot‑download” problem in multi‑account Amazon S3 environments, explains why bucket‑owner and object‑owner separation causes permission failures, and presents two practical solutions—disabling ACLs or adjusting ACL settings—along with detailed bucket policies, IAM roles, and CLI commands to implement them.
