Available Dates & Venues
Classroom Schedule
| Date | Venue | Format | Fees | Registration |
|---|---|---|---|---|
| June 1, 2026 - June 2, 2026 | Saudi Arabia - Dammam | Classroom | USD 10.00 | Registration closed |
| June 3, 2026 - June 4, 2026 | Saudi Arabia - Jeddah | Classroom | USD 10.00 | Registration closed |
| June 5, 2026 - June 6, 2026 | Saudi Arabia - Riyadh | Classroom | USD 10.00 | Registration closed |
Introduction
This GTMCS training course provides a practical and modern introduction to the intersection of Cybersecurity, Artificial Intelligence, and Fraud Detection. As organizations increasingly rely on automated systems, the risk of cyber‑enabled fraud grows. This course equips participants with the knowledge and tools to understand how AI models detect anomalies, identify fraud patterns, and strengthen digital security controls.
Participants will explore real‑world fraud scenarios, learn how AI‑driven systems operate, and gain hands‑on exposure to cybersecurity techniques used to protect digital environments. The course blends foundational cybersecurity concepts with emerging AI‑powered fraud detection capabilities, preparing professionals for the future of secure digital operations.
This GTMCS Cybersecurity Fundamentals for AI‑Driven Fraud Detection training course will highlight:
- How AI enhances fraud detection and cybersecurity
- Understanding cyber risks in automated and AI‑enabled systems
- Applying machine learning models to detect anomalies
- Strengthening digital security posture using modern tools
- Real‑world case studies of cyber fraud and AI‑based prevention
Objectives
At the end of this GTMCS training course, participants will be able to:
- Understand the role of AI in modern fraud detection
- Identify cyber risks associated with automated and AI‑driven systems
- Apply fraud prevention and mitigation strategies
- Strengthen organizational cybersecurity posture
- Analyze fraud patterns using AI‑enabled tools and techniques
Training Methodology
This training course uses a combination of interactive lectures, cybersecurity demonstrations, AI model walkthroughs, and hands‑on exercises. Participants will work with simulated fraud datasets, anomaly‑detection tools, and cybersecurity frameworks to understand how AI strengthens fraud prevention.
Organisational Impact
The organisation will benefit from:
- Enhanced fraud detection capabilities using AI
- Improved cybersecurity posture across digital systems
- Reduced financial and operational risks
- Stronger compliance with security and audit requirements
- Increased readiness for emerging cyber threats
- Better decision‑making through data‑driven fraud analytics
Personal Impact
Participants will gain:
- Practical understanding of AI‑driven fraud detection
- Strong foundational cybersecurity skills
- Ability to identify and mitigate cyber risks
- Hands‑on experience with fraud detection models
- Confidence in applying AI tools to real‑world fraud scenarios
- A future‑ready mindset for cybersecurity and emerging technologies
Who Should Attend?
This GTMCS training course is ideal for:
- Cybersecurity analysts and IT security teams
- Fraud investigators and risk professionals
- Internal auditors and compliance officers
- Data analysts working with fraud or anomaly detection
Professionals seeking skills in AI, cybersecurity, and fraud prevention
Certificates
Upon successful completion of this training course, a GTMCS Certificate of Completion will be awarded to all participants.
Curriculum
- 5 Sections
- 25 Lessons
- 2 Days
- Day 1 – Introduction to AI Driven Fraud Detection5
- 1.1Understanding the evolution of fraud in digital environments
- 1.2Fundamentals of AI and machine learning in fraud detection
- 1.3Types of fraud: financial, identity, transactional, insider threats
- 1.4How AI models detect anomalies and suspicious patterns
- 1.5Overview of cybersecurity frameworks supporting fraud prevention
- Day 2 – Cyber Threats in Automated & AI Enabled Systems5
- Day 3 – Fraud Detection Models & Algorithms5
- Day 4 – Risk Mitigation & Cybersecurity Strategies5
- Day 5 – Case Studies, Tools & Practical Scenarios5




