Artificial Intelligence and Machine Learning can significantly enhance risk management, fraud detection and Anti-Money Laundering (AML) processes in banking by enabling faster and more data-driven analysis. Transaction behavior analysis, anomaly detection and early identification of risk signals are among the most important applications of these technologies.

The AI for Risk, Fraud and AML training program helps participants understand how AI can support financial crime prevention and risk management while also recognizing the model and governance risks associated with AI-driven systems.

We can organize this training at your preferred date and location.

Who Should Attend

Risk, Fraud, AML, Compliance, Internal Audit, Internal Control and Operations Teams

What You Will Learn

By the end of the training, participants will be able to:

Explain key applications of AI in risk management.
Understand risk scoring, early warning and predictive analytics approaches.
Recognize the role of transaction behavior and anomaly analysis in fraud detection.
Evaluate potential applications of AI in AML processes.
Understand the operational impact of false positives.
Assess critical AI risks including model risk, bias, explainability and data quality.

Training Outline

Module 1 — AI in Risk Management

AI-assisted risk scoring
Early Warning Systems and early risk signals
Predictive analytics for forward-looking risk assessment
Anomaly detection and identification of unusual behavior
AI-assisted risk monitoring and decision support

Module 2 — AI for Fraud Detection

Transaction and customer behavior analysis
Detecting unusual transactions and behaviors
Identifying fraud patterns
Recognizing new and evolving fraud patterns
Real-time fraud detection
Prioritizing AI-generated alerts

Module 3 — AI for AML

Detecting suspicious transactions and behaviors
Network analysis for identifying relationships
Customer risk scoring
Extracting risk signals from customer and transaction data
Managing false positives and operational workload
The potential of AI to support AML investigation processes

Module 4 — AI and Model Risks

Key components of model risk
Bias and inaccurate risk assessments
Explainability of AI-driven decisions
Impact of data quality on model outputs
Human oversight and validation of AI results

Case Study — “Design an AI-Powered Fraud Detection System”

Participants design an AI-powered fraud detection solution based on a sample banking fraud scenario.

They define the relevant data and signals, anomalies to be detected, risk-scoring approach, alert mechanisms, false-positive management and required human control points.

By the end of the case study, participants will be able to evaluate AI-based fraud detection systems not only from a technology perspective but also in terms of risk, operations and control mechanisms.

Why Choose Us

Experience AI for Risk, Fraud and AML through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from anywhere in the world or arrange a dedicated online training program for your organization.

Experience AI for Risk, Fraud and AML in a professional face-to-face classroom environment. Classroom Based training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class exclusively for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange AI for Risk, Fraud and AML as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Bilginç IT Academy trainers can travel internationally to deliver dedicated training programs at your preferred location.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

AI for Risk, Fraud and AML Training