Building AI Builders: A Replicable Playbook for Upskilling Non-Technical Teams
About this session
The narrative around AI adoption has always centered on engineers, data scientists, and those writing code. But what if the next wave of AI innovation comes from the people closest to the customer - not the ones writing the models?
The aggregate results across the program: agentic AI competency climbed to 82% "strong/expert" (from 27% pre), Strands SDK adoption went from 20% to 80% (4x), hands-on experience at the "limited/theoretical" level dropped to zero, and 92% said they'd recommend it to every peer. Dozens of teams shipped working prototypes - not slides. And the model scaled: from one team to another region and then beyond.
If you're trying to scale AI fluency past your engineering org, this is the session that shows you how - with receipts.
Speakers
Key takeaways
- 7 to 10 week structure - participant guidelines, evaluation rubric, mentor-pairing framework, tool setup guides, and judging criteria. You can launch this at your own org without starting from a blank page.
- A realistic cost model. You'll know what it actually takes before you commit. The time investment, where things broke, the tooling and setup needed, and the constraints that limit the scale.
- A proven business case. You'll see how pre/post measurement (30% → 76% competency) made the impact visible and unlocked expansion - giving you the exact business case to get leadership to fund it.