Building AI builders: Playbook for closing the AI knowledge-capability gap
An AWS Machine Learning Blog post describes a six-week structured program designed to close what it calls the gap between conceptual AI knowledge and hands-on capability for business professionals who do not write code for their primary roles.
The program targeted roles such as account managers, solutions consultants, operations analysts and program managers. Participants committed roughly four hours per week for six weeks. Recruitment ran through manager nomination, Slack and email campaigns, with management buy-in sought first. AWS said the program was orchestrated by four core team members plus mentors who ran it alongside their day jobs.
The post says AWS asked business professionals what held them back from AI adoption: 90 percent wanted hands-on experience building AI agents. AWS reported that 80 percent had explored Amazon Bedrock and Amazon Bedrock AgentCore, but fewer than 1 in 5 had touched the Strands Agents SDK or built with AWS Lambda agents. Participants cited lack of real-world examples as their top barrier.
One team of four customer-facing professionals with no engineering backgrounds built WealthWise, a multi-agent AI financial advisory tool, and won first place. AWS describes five specialized agents covering portfolio analysis, risk assessment, financial planning, market insights and personalized investment recommendations, with a dual-server architecture using Node.js and Python Flask with Amazon Nova models, the Strands Agents SDK for orchestration and conversation memory, four Amazon DynamoDB tables, live market data integration and sub-5-second response times. AWS notes Amazon Nova models are available on Amazon Bedrock in select AWS Regions.
Tools chosen for the program included the Kiro IDE, Amazon Bedrock, the Strands Agents SDK, and AWS Model Context Protocol servers and AWS Lambda agents.
AWS reported self-rated "Strong or Expert" understanding of agentic AI rising from 27 percent to 82 percent, preparedness to identify AI opportunities rising from 41 percent to 85 percent, and participants with only theoretical or limited experience falling from 34 percent to 0 percent. It also reported Strands Agents SDK adoption rising from 20 percent to 80 percent and AgentCore from 39 percent to 85 percent, a 100 percent recommendation rate, and 95 percent saying the program met or exceeded expectations.
Based on reporting from the original publisher. Visit the source for full context and later updates.
Publisher excerpt
The biggest barrier to AI adoption isn't awareness. It's the gap between talking about AI and building with it. Here's the playbook we used to turn non-technical, customer-facing professionals into confident AI builders in six weeks, and how your organization can replicate it.