Built for practitioners. Each course maps a piece of the financial-services stack the way it actually works in production, not the way the marketing decks say it should.
How AI models are built, deployed, and operated inside banks, payment processors, and fintechs. From ML pipelines to production.
Follow the basis points: how interchange, scheme fees, and the four-party model decide who pays, who earns, and who sets the rules in every card transaction.
How a checkout actually converts, authorizes, and recovers money, decomposed from the buy button to the settlement file.
The rails beneath the rails: how a payment goes from authorized to irrevocably settled, and where the risk lives in between.
The only multi-party money-reversal system in payments, mapped from the cardholder’s claim to the final allocation of liability.
How financial services actually fight fraud. From identity verification to real-time scoring to the AI arms race.
The product person's guide to Model Context Protocol. Frameworks for making MCP decisions without becoming a protocol expert.
What happens to a 50-year-old bank validation discipline when the model is a black-box LLM nobody trained, and how to govern it without grinding deployment to a halt.
Everything that has to be true before you can legally hold a dollar and reliably move it: licenses, accounts, float, and the messaging standard the whole industry is rebuilding around.
The new rails competing with cards. Real-time settlement, open banking APIs, and the multi-rail future.
How money actually moves. Map the card payments system from first tap to final settlement.
When you move money on behalf of others, you inherit a balance sheet, a compliance perimeter, and a settlement engine. This is how to build all three.
A practitioner’s map of money that carries logic and settles in seconds, separating what already ships in production from what is still a whitepaper.
Agent identity, mandates, and the prompt-injection kill chain for systems where a manipulated agent can wire funds to the wrong account.
What it actually takes to take a payments feature from idea to production: scoping, integration choices, money-movement edge cases, compliance gates, and the launch checklist that keeps you out of an incident review.
Recurring revenue lives or dies in the parts no one demos: dunning, involuntary churn, and the chargeback you fight from the merchant seat.
How AI agents discover, negotiate, and purchase. The infrastructure layer being built beneath autonomous commerce.
Provenance, lineage, and explainability as infrastructure, because in regulated finance you must prove not just what the model decided, but what data it stood on and why.
Decision frameworks for payments leaders. Architecture design, vendor evaluation, pricing optimisation, and international expansion.
The rulebooks that decide what your product is allowed to do, mapped to the systems that have to enforce them.