Artificial Intelligence in Fraud Detection

AI, Technology & Digital · 5 Days · Public · Al-Khobraa certified · From USD 3,900

Overview

The AI in Fraud Detection Course from presents a modern, technology-driven approach to combating fraud across industries. As organizations face increasingly complex threats, Artificial Intelligence (AI) offers powerful capabilities to identify, predict, and prevent fraudulent activity in real time.

Learning Objectives

• Understand AI, ML, and NLP principles applied to fraud prevention
• Detect and interpret complex fraud patterns using predictive analytics
• Implement both supervised and unsupervised learning algorithms
• Analyse textual and behavioural data using NLP for fraud insights
• Design, train, and evaluate AI-powered fraud detection systems
• Address ethical and legal implications of AI use in fraud management
• Create tailored AI frameworks that strengthen organizational risk defences

Who Should Attend

This AI in Fraud Detection Training Course is designed for professionals responsible for managing risk, preventing fraud, or analysing financial data. It is particularly beneficial for: Fraud Prevention and Risk Management Specialists Compliance Officers and Internal Auditors Data Scientists and Data Analysts Cybersecurity and IT Security Professionals Financial Crime and AML Investigators Professionals from Banking, Insurance, Telecom, and Retail Sectors AI/ML Developers and Business Intelligence Consultants

• Fraud Prevention and Risk Management Specialists
• Compliance Officers and Internal Auditors
• Data Scientists and Data Analysts
• Cybersecurity and IT Security Professionals
• Financial Crime and AML Investigators
• AI/ML Developers and Business Intelligence Consultants

Course Outline

Day 1 — AI and the Changing Landscape of Fraud Detection

• Types and Trends of Fraud Across Industries
• Introduction to Artificial Intelligence and Machine Learning
• Advantages of AI vs. Traditional Detection Systems
• Overview of Fraud Detection Lifecycle

Day 2 — Machine Learning for Fraud Detection

• Data Preparation and Labeling for Fraud Modeling
• Algorithms Overview: Decision Trees, SVM, Random Forest, XGBoost
• Building Classification and Anomaly Detection Models
• Evaluating Model Performance: Confusion Matrix, Precision-Recall, ROC

Day 3 — Natural Language Processing (NLP) for Unstructured Fraud Data

• Introduction to NLP and Text Analytics
• Tokenization, Sentiment Analysis, NER, and Topic Modeling
• Identifying Fraud from Claims, Emails, Reviews, and Reports
• Tools and Frameworks: NLTK, SpaCy, and Transformers

Day 4 — Integrating and Deploying AI-Based Fraud Systems

• Combining Structured and Unstructured Data Models
• Automating Fraud Alerts and Case Triaging
• Real-Time Fraud Detection Using Streaming Data
• Ethical AI and Bias Mitigation in Fraud Detection

Day 5 — Governance, Compliance & Strategic AI Deployment

• Regulatory Environment: AML, GDPR, Basel III, and More
• Explainability and Trust in AI Systems (XAI)
• Roadmap to Enterprise AI Adoption in Fraud Detection
• Group Project Presentations: Custom AI Fraud Detection Strategy

Accreditation

Al-Khobraa certified. On completion delegates receive an Al-Khobraa certificate of achievement.

Dates & Venues

Dates	Venue	Delivery	Duration	Fee (USD)
15–19 November 2026	Riyadh, KSA	Public	5 days	3,900

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Frequently Asked Questions

What do Al-Khobraa AI, technology and digital courses cover?

The portfolio covers cyber security, data analytics and data science, artificial intelligence (AI) and machine learning, Power BI and Excel for analysis, digital transformation and IT governance. Courses are applied — delegates work with real datasets and tools rather than slideware.

Who should attend an AI, technology or digital course?

These courses suit IT and cyber security staff, data and business analysts, engineers and operations professionals who work with plant or business data, digital transformation teams, and managers who commission or govern technology projects. Foundation-level courses assume no programming background.

How long are AI, technology and digital courses, and where are they held?

Most Al-Khobraa AI, technology and digital courses run over 5 days. The exact duration, dates and city for this course are listed in the dates section on this page. Public sessions run across Saudi Arabia — Riyadh, Jeddah, Al-Khobar, Jubail and Yanbu — as well as regional and international venues, with live virtual classrooms available on request.

What certificate will I receive?

Delegates who complete the course receive an Al-Khobraa certificate of completion, issued by a Saudi-registered training provider. Al-Khobraa also delivers internationally accredited programmes; where a course carries an external awarding body such as PMI, CIPS, ILM or IOSH, that body is named on the course's own page.

Can AI, technology and digital training be delivered in-house for our team?

Yes. Any Al-Khobraa AI, technology and digital course can be delivered in-house at your own premises anywhere in Saudi Arabia or the GCC, with the content, dates and language of delivery tailored to your team. Al-Khobraa is an approved HRDF (Hadaf) provider, so eligible Saudi employers can seek training support. Contact us for a quotation.

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