Course · Subscriber

AI in Financial Services

How AI models are built, deployed, and operated inside banks, payment processors, and fintechs. From ML pipelines to production.

6 modules·Available now

How AI is actually shipped inside regulated financial institutions. Model lifecycle, compliance and explainability, LLMs in production, and what the AI-native institution looks like.

Who this is for

Bank and fintech product managers evaluating AI investments
Engineers shipping ML or LLM features into regulated workflows
Compliance and risk leaders who need to keep up with the AI surface
Strategy leaders pricing the AI-native institution thesis

What you will learn

Understand how AI models are actually built and deployed inside banks
Tell where AI is shifting unit economics from where it is just a demo
Design model lifecycle and explainability that survives a regulator review
Use LLMs in production for compliance, fraud, and customer-facing surfaces
Plan the AI-native institution: where it concentrates, where it disrupts

Syllabus

01How AI Models Actually Work in Finance
How AI and ML models work inside financial institutions. Training pipelines, feature engineering, model governance, and the infrastructure that powers AI in banking and payments.
02AI in Fraud and Risk
How financial institutions deploy AI for fraud detection and risk management. Real-time scoring models, anomaly detection, network analysis, and production ML systems.
03AI in Compliance and RegTech
AI applications in compliance and regulatory technology. Automated monitoring, NLP for regulatory change, sanctions screening, and how AI is transforming compliance operations.
04Large Language Models in Financial Services
How large language models are being deployed in finance. Document processing, customer service, code generation, risk analysis, and the governance challenges LLMs introduce.
05Building AI Products for Regulated Markets
Building AI products that satisfy financial regulators. Explainability requirements, model risk management, audit trails, fairness testing, and regulatory expectations by jurisdiction.
06The AI-Native Financial Institution
What an AI-native financial institution looks like. Organisational design, data architecture, decision automation, and the gap between AI-augmented and AI-first operations.