NEWS · COMPANIES · #1679
Six-week playbook helps non-engineers build multi-agent AI prototypes with Amazon Bedrock and Strands
A six-week structured program paired business professionals with mentors and production-grade tools (Amazon Bedrock AgentCore, Strands Agents SDK, DynamoDB, Node.js/Python Flask) to close the gap between AI knowledge and hands-on capability; participants built WealthWise, a multi-agent financial advisory prototype using Amazon Nova models and won first place. The article lays out the program structure, barriers encountered, and five principles that supported rapid learning and prototype delivery.
KEY POINTS
- A six-week structured program paired business professionals with mentors and production-grade tools (Amazon Bedrock AgentCore, Strands Agents SDK, DynamoDB, Node.js/Python Flask) to close the gap between AI knowledge and hands-on capability; participants built WealthWise, a multi-agent financial advisory prototype using Amazon Nova models and won first place.
- The article lays out the program structure, barriers encountered, and five principles that supported rapid learning and prototype delivery.
- Demonstrates a repeatable, low-friction approach for enabling non-engineers to build scalable AI prototypes, which can materially speed enterprise AI adoption.
WHY IT MATTERS
Demonstrates a repeatable, low-friction approach for enabling non-engineers to build scalable AI prototypes, which can materially speed enterprise AI adoption.