# AI Courses for Financial Services > Financial Services · Course catalog > Source: https://ibl.ai/solutions/financial-services/courses > Last updated: 2026-08-25 ## The Short Answer **ibl.ai publishes ten AI courses for financial services, each a complete specification — module outlines, learning outcomes, assessment design, hands-on labs, and cited primary sources. Request access to run one with your cohort. They run on infrastructure where you own all the code and the data, model-agnostic across any LLM, with no per-seat pricing.** On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. [Request Access](https://ibl.ai/contact) · [Explore Financial Services](https://ibl.ai/solutions/financial-services) AI training for banks, advisers, and financial institutions — model risk, AML, supervision, fraud, private deployment, and the cost model examiners and boards both scrutinize. ## Which AI courses are available for financial services? ### FIN-1 — AI Model Risk Management for Financial Institutions Extend model risk governance to generative AI — inventory, validation, challenger testing, and the documentation examiners expect for a non-deterministic model. _Advanced · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/ai-model-risk-management) ### FIN-2 — KYC and AML with AI: Screening, Alerts, and SAR Support Apply AI across the BSA/AML program — name screening, alert triage, and narrative drafting — without weakening the audit trail a regulator will examine. _Advanced · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/kyc-aml-with-ai) ### FIN-3 — AI Supervision Under FINRA and SEC Recordkeeping Rules Supervise AI in a broker-dealer or RIA — communications review, books and records obligations, and what happens when an agent talks to a client. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/ai-supervision-finra-sec) ### FIN-4 — Fraud Detection with AI: Anomalies, Alerts, and False Positives Build AI-assisted fraud detection where a false positive is a blocked customer — anomaly detection, adaptive fraud, and fair-lending exposure. _Advanced · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/fraud-detection-with-ai) ### FIN-5 — AI for Client Advisory Without the Compliance Risk Research and client content generation inside a regulated advisory business — sourcing, review workflow, disclosure, and the line before personalized advice. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/ai-client-advisory-compliance) ### FIN-6 — Regulatory Reporting Automation: SOX, PCI DSS, and Audit Trails Automate regulatory reporting and control testing with AI — evidence collection, narrative drafting, and a control environment that keeps the automation auditable. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/regulatory-reporting-automation) ### FIN-7 — Private LLMs in Finance: Keeping Client Data In-House Deploy capable models inside your own network — open-weight selection, hardware sizing, GLBA and cross-border considerations, and the ownership question. _Advanced · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/private-llms-in-finance) ### FIN-8 — Portfolio Analytics with AI Agents AI across performance attribution, benchmarking, and reporting — with the numeric verification that keeps a generated figure out of a client statement. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/portfolio-analytics-with-ai) ### FIN-9 — GLBA, Safeguards, and AI Vendor Diligence Third-party risk management for AI vendors — the diligence questionnaire, contract terms, and the ongoing monitoring examiners expect. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/glba-safeguards-ai-vendor-diligence) ### FIN-10 — The Financial Institution AI Cost Model Model AI economics in a bank or advisory firm — per-seat against usage-based and owned infrastructure, including the compliance overhead nobody budgets. _Foundational · 4.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/financial-services/course/financial-institution-ai-cost-model) ## Which frameworks and regulations do these courses cover? BSA, Books and records, Books and records rules, ECOA / Regulation B, FFIEC, FFIEC BSA/AML examination manual, FFIEC third-party risk, FINRA communications rules, FINRA rules, FinCEN rules, GIPS, GLBA, GLBA Safeguards Rule, NIST AI 600-1, NIST AI RMF, NIST CSF 2.0, NIST SP 800-53, OFAC sanctions, PCI DSS, Reg BI, SEC Marketing Rule, SOC 2, SOX, SR 11-7 model risk guidance, TCO analysis. ## What ships with every course? - **Facilitator guide.** Session-by-session running order, discussion prompts, and the questions that reliably derail a room. - **Learner workbook.** Exercises, checklists, and the templates each module's activity produces. - **Hands-on lab environment.** A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots. - **Assessment bank.** Scenario questions and rubric criteria mapped to each stated learning outcome. - **Source bibliography.** Every primary regulation and standard cited on this page, linked and dated. ## Why run AI training on a platform you own? - **You own the course, not a licence to it.** Course content, learner data, and the platform run inside your perimeter — you own all the code and the data. - **Model-agnostic delivery.** Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime. - **No per-seat training licences.** Usage-based or self-hosted, so cost tracks actual use rather than headcount. - **Deploy anywhere.** Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools. ## Frequently asked questions ### What AI courses does ibl.ai offer for financial services? 10 courses covering BSA, Books and records, Books and records rules, ECOA / Regulation B, FFIEC, FFIEC BSA/AML examination manual and more — for example: AI Model Risk Management for Financial Institutions; KYC and AML with AI: Screening, Alerts, and SAR Support; AI Supervision Under FINRA and SEC Recordkeeping Rules. Each publishes its full design: modules, learning outcomes, assessment, and the primary sources it is grounded in. ### How do we get access to these courses? Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us which courses, the group size, and whether it needs to run inside your own perimeter. ### Can we run financial services AI training on our own infrastructure? Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data and anything learners upload stay inside your perimeter, which matters for financial services teams that cannot send work to a public AI tool. ### How much does AI training for financial services cost? There is no per-seat pricing — you pay for usage, or self-host and pay only for the infrastructure, so a large rollout does not cost one licence per person. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ### Who are these financial services courses written for? Practitioners rather than general audiences — each course names its audience and prerequisites explicitly, and levels range across advanced, intermediate, foundational.