Amazon Bedrock AgentCore: Build & Deploy any AI Agent on AWS

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A detailed architectural diagram titled 'Bedrock AgentCore Building Blocks – Deep Dive' illustrating seven key components: Runtime, Identity, Memory, Observability, Gateway, and a — Preview 1 of 4
This technical diagram maps the Bedrock AgentCore architecture, detailing how agents interact with tools via gateways while managing memory, identity, and observability.

A workflow diagram titled 'Deploy to Serverless Architecture' illustrating a seven-step process for deploying an Agentic AI app using Amazon Bedrock AgentCore Runtime, VisualStudio — Preview 2 of 4
This architectural diagram outlines the deployment pipeline for serverless AI agents, detailing steps from local development in Visual Studio Code to hosting via AWS Lambda and API Gateway.

A screenshot of the AWS CloudWatch dashboard displaying metrics for GenAI Observability: Bedrock AgentCore, including runtime sessions, invocations, errors, and memory consumption. — Preview 3 of 4
This dashboard view demonstrates how to monitor production-ready Agentic AI apps using OpenTelemetry and AWS CloudWatch, showing real-time metrics like runtime sessions and memory usage.

A technical architecture diagram titled 'Bedrock AgentCore Memory - Short Term & Long-Term' illustrating data flow from a Vacation Planner App to short-term raw storage and long-t — Preview 4 of 4
This architectural diagram details the Bedrock AgentCore memory system, showing how a Vacation Planner App syncs with short-term raw storage and asynchronously processes data into long-term vector storage.