AWS GenAI Builder Series - AWS AgentCore Services

​AWS GenAI Builder Series — AWS AgentCore Services

​​Format: 2 hours (presentation → live demo)

​​Focus: Build and operate AI agents on AWS using Amazon Bedrock AgentCore. We’ll work directly from the official AgentCore Samples repo to take an agent from local run to a production-ready deployment pattern.

​​What you’ll learn

• ​​Where AgentCore fits in an AWS stack: Runtime, Gateway (tooling), Memory, Identity, and Observability

• ​​How to run an agent locally, then deploy it on AWS

• ​​How to register and call tools (Lambda/HTTP) through the Gateway

• ​​How to add state with Memory and secure access with Identity

• ​​Practical ops: tracing, debugging, guardrails, and cost awareness

​​Live demo (using the GitHub samples)

1. ​​Runtime quickstart: run a minimal agent locally → deploy → invoke

2. ​​Gateway tool call: expose a simple Lambda/HTTP tool and call it from the agent

3. ​​Add Memory + Observability: persist context and trace steps end-to-end

4. ​​(If time) wire up Identity for a third-party call

​​Who should attend

​​Engineers and architects building agentic applications on AWS (SWE, MLE, SRE, platform).

​​Prerequisites (bring your laptop)

• ​​AWS account with access to Bedrock and AgentCore

• ​​AWS CLI configured (aws configure)

• ​​Python 3.10+ and Docker/Finch for local dev

• ​​Access to at least one Bedrock model (e.g., Claude)

• ​​We’ll reference: awslabs/amazon-bedrock-agentcore-samples

​​Agenda (2 hours)

• ​​15 min — Context & goals

• ​​35 min — Theory walkthrough (architecture, patterns, gotchas)

• ​​50 min — Live demo (zero → working agent)

• ​​10 min — Q&A + pitfalls

• ​​10 min — Homework lab & repo pointers

​​Takeaways

• ​​Slides and a reproducible demo repo

• ​​A mini runbook for local → cloud deployment

• ​​A checklist to productionize your first AgentCore agent