This is the repository for the LinkedIn Learning course AI Challenge: Build an AI Agent in 7 Steps in 7 Days with AWS. The full course is available from LinkedIn Learning.
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.
- An AWS Account
- Clone this repo (or download the files).
- Pick a supported Region for Bedrock Agents (for many of you, us-east-1 is the easiest).
- Request access to the foundation model we’ll use during this challenge: Claude 3.7 Sonnet v1.
Kesha Williams
Award-Winning Tech Innovator and AI/ML Leader