[RETIRED] Amazon AgentCore: Scale Your Agentic AI to Prod

About this course

IMPORTANT NOTE: AWS unexpectedly deprecated the AgentCore Starter Toolkit CLI that this entire course is built around. While it is still possible to follow along in this course, it requires deprecated technology. We are in the process of closing this course to new enrollments.

Tired of building AI prototypes that never make it to production?

You’re not alone. Many engineers can build impressive agentic AI demos—but hitting a wall when trying to scale those systems into production is common.

This course solves that problem.

You’ll learn how to use Amazon Bedrock AgentCore—part of AWS’s cutting-edge generative AI stack—to deploy real, secure, scalable agent systems. You’ll take a working OpenAI Agents SDK project and transform it into a production-grade service, using AgentCore’s built-in memory, identity, tools, and observability features.

By the end of this course, you won’t just understand agentic AI—you’ll have deployed one.

What You’ll Learn

How to use Amazon AgentCore to host your AI agents serverlessly in production

Add memory to your agents (short-term and long-term)Handle user identity and secure authentication in agent workflows

Integrate real tools, APIs, and third-party data using Bedrock’s Gateways

Monitor and debug agents using AgentCore’s observability features

Build trust in your agent with Policies and Evaluators

Build a complete hands-on agentic AI project using the OpenAI Agents SDK

Why Amazon AgentCore?

Amazon Bedrock AgentCore provides a serverless runtime purpose-built for agentic AI

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