Artificial Intelligence

Category: Intermediate (200)

Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows

Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows

Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore using Amazon SQS, AWS Lambda, and Amazon DynamoDB, with a single ask_human tool and a Jobs page for human-in-the-loop review.

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboard authors rich, multi-level filtering in a single compact control, reducing clutter and guiding readers to the data they need in fewer steps.

Amazon Bedrock expands Claude model availability to in-country inferencing in India

Amazon Bedrock expands Claude model availability to in-country inferencing in India

Anthropic’s Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 are now available in India through Amazon Bedrock geographic cross-Region inference. You can access these models while processing data within the India Regions, and get started from the Amazon Bedrock console or with the Messages, InvokeModel, and Converse APIs.

Introducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore

Introducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore

Amazon Bedrock now supports Anthropic’s Claude Opus 5 and Claude Sonnet 5 with in-region inference in Seoul, and Claude Sonnet 5 in Singapore. If you have local data processing requirements in South Korea or Singapore, you can now use these Anthropic models at scale, with inference processed entirely within the Region you call.

Prompt engineering fundamentals for Amazon Quick

Prompt engineering fundamentals for Amazon Quick

Prompt engineering in Amazon Quick shapes how accurately its AI-powered features respond to your requests. Part 1 of a two-part series covers the foundational principles and reusable frameworks (specificity, context-setting, few-shot examples, and the CRISPE framework) for consistent, high-quality results across Amazon Quick.

Agentic conversational video intelligence built on AWS

Agentic conversational video intelligence built on AWS

Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, deciding which service to call so you can ask natural language questions about your videos and get answers in seconds.