AI Challenge: Build an AI Agent in 7 Steps in 7 Days with AWS

Bridge the gap between experimenting with AWS generative AI and shipping production‑ready AI agents. In this 7‑day, hands‑on challenge, you’ll start with a single Amazon Bedrock agent and evolve it into an enterprise‑grade multi‑agent system built for real‑world deployment—with tools, memory, guardrails, and observability. Designed for developers and architects who want production depth, you’ll work with real AWS services including Bedrock, Lambda‑based tools, and CloudWatch to design secure, scalable, monitorable systems. By the end, you’ll have a repeatable architecture and the confidence to take agents from prototype to production on AWS.

Learning objectives
Create and test a foundational AI agent using Amazon Bedrock’s agent framework.
Integrate real-world actions by connecting agents to AWS Lambda tools/action groups using secure, scalable patterns.
Implement enterprise safeguards by adding memory and guardrails to support safer, more reliable agent behavior.
Instrument and monitor agent systems using observability patterns and CloudWatch so you can troubleshoot and operate in production.
Design and orchestrate multi-agent architectures on AWS, scaling from a single agent to coordinated agent systems.
Migrate from prototype to production with a proven framework for deploying secure, scalable, production-ready Bedrock agent solutions.