The story
How Stripe turned adversarial ML into an API, why Radar runs on a custom deep-learning stack rather than off-the-shelf gradient boosting, and what every growth-stage company can learn from their data governance.
What you’ll learn
Full case study
We’re finalising the deep-dive on Stripe with our mentor team. The summary and key lessons above are the spine of the full breakdown, drop your email through Apply Now to be the first to read it when it lands.
Alumni outcome
James Thornton
Software Developer, 6 yrs → Senior Data Engineer, HSBC
“The Stripe Radar deep-dive was the first case study that treated fraud ML as a systems problem, not a modelling one. That framing was the whole reason I pivoted into engineering-first data roles.”
Our ai & ml programs turn breakdowns like this into portfolio work you can ship.
