Prompt: Closing the AI Knowledge-Capability Gap: A Six-Week Playbook for Business Professionals

A structured six‑week program paired business professionals with mentors and low‑code AI tools to build working prototypes, turning theoretical AI knowledge into hands‑on capability and measurable business impact.

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You are a [PROFESSION] working on [PROBLEM AREA]. Using Amazon Bedrock for foundation models, Strands Agents SDK for multi‑agent orchestration, and AWS Lambda for deployment, outline a three‑agent prototype that solves [SPECIFIC USE CASE]. Include agent responsibilities, data sources (e.g., Amazon DynamoDB), and a brief flow description.

Example input

Use the placeholders in the prompt with permitted, anonymized source data.

Expected output

Follow the output format requested in the prompt and verify the result against the source.

Tools

Kiro Integrated Development Environment (IDE), Amazon Bedrock, Strands Agents SDK, AWS Lambda, Amazon Nova models, Node.js, Python Flask, Amazon DynamoDB