Master AI-Powered Fraud Detection Before the Next Threat Finds You
Build the analytical arsenal that top risk professionals rely on — from AI anomaly-detection pipelines to board-ready case files — in one rigorous, case-driven program built for practitioners who can't afford to guess.
"Every framework I teach has been stress-tested against the question a regulator or a board will eventually ask — and your answer needs to hold."— Dr. J Raymond ABK
What you'll learn
What you'll be able to do
- Build and tune AI-assisted anomaly-detection models to flag suspicious transactions in real time
- Map and score enterprise fraud risk across business units using structured risk-register methodology
- Conduct end-to-end fraud investigations — from initial alert triage to documented case closure
- Design and implement internal controls that close the most common fraud vulnerability gaps
- Interpret machine-learning model outputs (feature importance, thresholds, false-positive rates) to make defensible risk decisions
- Produce board-ready risk reports and regulatory-compliant incident response documentation
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 23 lessons
Foundations of Financial Fraud and Enterprise Risk
Establishes the conceptual and professional bedrock before any technical or investigative work begins. Learners build a shared vocabulary, understand how fraud manifests across modern enterprises, situate themselves within the regulatory environment, and construct a living fraud-risk register — the artifact that anchors every subsequent module.
- 1.1The Modern Fraud LandscapeIncluded
- 1.2Enterprise Risk Frameworks and the Fraud Risk RegisterIncluded
- 1.3Regulatory and Legal Context for Fraud ProfessionalsIncluded
AI and Machine Learning for Anomaly Detection
The technical core of the program. Learners move from raw transaction data through model building, tuning, and interpretation, finishing with production-grade real-time pipelines. Each lesson builds on the last, so no steps are skipped between 'raw data' and 'live detection.' Directly addresses the outcomes of building/tuning anomaly-detection models and interpreting ML outputs.
- 2.1Data Foundations: Structuring Transaction Data for AIIncluded
- 2.2Supervised Models for Fraud ClassificationIncluded
- 2.3Unsupervised and Hybrid Anomaly DetectionIncluded
- 2.4Interpreting ML Model Outputs for Risk DecisionsIncluded
- 2.5Real-Time Detection Pipelines and Model MonitoringIncluded
Internal Controls and Fraud Prevention Architecture
Shifts from detection to prevention. Learners apply control frameworks to close the vulnerability gaps most commonly exploited by fraudsters, then validate that those controls actually work. Positioned after the AI module so learners can evaluate how AI-based detective controls complement preventive ones — and before the investigation module so they understand what breaks down when controls fail.
- 3.1Control Frameworks: COSO, COBIT, and Fraud-Specific StandardsIncluded
- 3.2Closing Vulnerability Gaps: Payments, Identity, and Insider ThreatsIncluded
- 3.3Testing and Validating ControlsIncluded
End-to-End Fraud Investigation
Teaches the full investigative lifecycle from first alert to final case file. Positioned after controls so learners understand what the investigator is looking for when a control fails or is circumvented. Covers triage, digital forensics, network analysis, interview craft, and case closure — directly addressing the 'conduct end-to-end fraud investigations' outcome.
- 4.1Alert Triage and Case InitiationIncluded
- 4.2Evidence Collection and Digital Forensics BasicsIncluded
- 4.3Link Analysis and Network InvestigationIncluded
- 4.4Interviews, Statements, and Investigative EthicsIncluded
- 4.5Case Closure, Documentation, and ReferralsIncluded
Risk Reporting, Communication, and Regulatory Compliance
Develops the communication and documentation skills that transform analytical work into organizational impact. Learners produce board-level reports, regulatory submissions, and plain-language AI explainability briefs. Positioned after all technical and investigative modules so learners are reporting on real artifacts they have already built, not abstract scenarios. Directly targets the board-ready reporting and regulatory-documentation outcomes.
- 5.1Structuring Board-Ready Risk ReportsIncluded
- 5.2Incident Response Documentation and Regulatory ReportingIncluded
- 5.3Communicating AI Risk Decisions to Non-Technical StakeholdersIncluded
Capstone: End-to-End Fraud Intelligence Program
An integrative, scenario-driven capstone that requires learners to exercise every skill from every prior module simultaneously. A realistic, multi-threaded fraud scenario unfolds across four lessons, forcing learners to make consequential risk, technical, investigative, and communication decisions under realistic constraints. Produces a complete, portfolio-worthy fraud intelligence program artifact.
- 6.1Capstone Scenario Briefing and Risk AssessmentIncluded
- 6.2AI-Driven Detection and Model InterpretationIncluded
- 6.3Full Investigation and Case FileIncluded
- 6.4Board Presentation and Regulatory SubmissionIncluded
Who it's for
Is this you?
Fraud Risk Analysts
You're running alerts and building models — this program gives you the structured methodology and ML interpretability skills to make your outputs defensible to leadership.
Financial Crimes Investigators
From alert triage to case closure, you'll master the end-to-end investigation workflow — including digital forensics basics, link analysis, and airtight documentation.
Compliance Officers
You'll build fluency in AI-driven detection and close the gap between regulatory expectations and the controls your organization actually has in place.
Enterprise Risk Managers
The fraud risk register methodology and board-ready reporting modules give you the structured tools to communicate risk exposure clearly to leadership and auditors.
AML & FinCrime Specialists
Upgrade from rules-based detection to AI-assisted anomaly detection and real-time pipelines — without losing the regulatory rigor your role demands.
Internal Audit Professionals
The controls testing, COSO/COBIT frameworks, and incident response documentation modules directly strengthen your ability to evaluate and challenge fraud program effectiveness.
Questions
Frequently asked
Your teacher
A note from your teacher
Dr. J Raymond ABK
If you're in fraud, risk, or compliance, you already know the frustration. The alerts are piling up, the models your team inherited are a black box, the board wants a report by Friday, and the threat you're actually worried about isn't the one in this week's case queue — it's the one you haven't spotted yet.
I built this program for practitioners who are already doing the work and need to do it better. Not better in theory. Better in the room, when the CFO asks why the model flagged 800 transactions and your team cleared 790 of them. Better in the investigation, when the evidence chain has gaps and you need to know exactly what digital forensics can and can't get you. Better in the report, when regulators need to see not just what happened, but that your controls were structured, tested, and documented before it happened.
What you'll find in Fraud Intelligence Pro is a full professional methodology — the kind that holds up under scrutiny. We start with the risk register and regulatory landscape because you can't prioritize what you haven't mapped. We move into AI and anomaly detection because supervised and unsupervised models are now a baseline expectation in enterprise fraud functions, and you need to be able to interpret their outputs and challenge their assumptions. We cover internal controls using COSO and COBIT because gaps in payments processing, identity verification, and insider threat monitoring are where most losses actually occur. We run the full investigation lifecycle — triage to case closure — because knowing how to collect, document, and present evidence is what separates a defensible case file from a liability. And we close with reporting and communication, because the best investigation in the world is worth nothing if leadership can't act on it.
The capstone puts all of it together in a single, high-pressure simulated engagement. You'll run the risk assessment, build and interpret the detection model, conduct the investigation, produce the case file, and stand up in front of a simulated board. That's the job. That's what we're training for.
If you're ready to operate at that level — with precision, with defensible judgment, and with zero tolerance for the kind of sloppy methodology that gets organizations hurt — this is where you sharpen that edge. Come in ready to work. The stakes are real even when the scenario isn't.
— Dr. J Raymond ABK
Start your journey today
Join get instant access — learn at your own pace with an AI coach in your corner.
$97/mo
Recurring billing · cancel anytime
Secure checkout · Instant access
- 6 modules, 23 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed