Deploy Production-Ready Agents in 22 Minutes with AgentCore Runtime

Want to deploy AI agents to production in minutes? Learn how to use Amazon Bedrock AgentCore Runtime to host framework-agnostic AI agents with just three lines of code. This tutorial walks you through deploying a logistics helper agent using the Strands Agents SDK, connecting it to a real RDS database in a private VPC, and using infrastructure as code with AWS CDK for production-ready deployments! Full Code Example on GitHub: https://go.aws/4aHhgVP Skillbuilder course: https://go.aws/47hT5u1 Follow AWS Developers! 📺 Instagram: https://go.aws/49r7LZC 🆇 X: https://go.aws/3Ya728V 💼 LinkedIn: https://go.aws/4sdbXnj 00:00 - Introduction 00:46 - Overview of AgentCore Runtime 01:13 - Building an End-to-End Example on Runtime 02:00 - Looking Closer at the Logistics Helper Agent 04:45 - Using the AgentCore Starter Toolkit to Configure and Deploy an Agent 08:23 - Invoking the Agent 09:07 - Understanding How AgentCore Runtime Sessions Work 10:37 - Updating and Testing Agent Code 12:07 - Using the Agent for Real SQL Queries 14:41 - Using an Infrastructure as Code Approach, Using an Amazon CDK Stack 19:15 - Looking at the Deployed Agent in the AWS Console 20:33 - Versioning and Endpoints in AgentCore Runtime 21:23 - Logs and Observability 21:56 - Conclusion #AWS #AmazonBedrock #AgentCore