Booking options
€140 - €260

€140 - €260
Live Online
6 CPD Units | 6 Hours
HRDA Subsidised
The EIMF Live Online Learning Experience
Participants will receive access to the recorded sessions of the course.
EIMF subject-matter experts deliver engaging and interactive courses across a broad spectrum of areas, that can be enjoyed in the comfort of your own chosen environment. Read more
Course Overview
This course focuses on the application of Artificial Intelligence (AI) in Anti-Money Laundering (AML) programs. Participants will learn how AI technologies can enhance AML efforts by improving risk detection, monitoring, and compliance processes. The course will cover regulatory perspectives from EBA, CBC, ESMA, and CySEC on using AI in financial institutions.
Training Objectives
By the end of the programme, participants will be able to:
Understand AI concepts and applications in AML
Comprehend regulatory guidelines for AI in AML (EBA, CBC, ESMA, CySEC)
Explore AI tools for risk detection and monitoring
Enhance transaction monitoring with AI
Improve customer due diligence using AI
Integrate AI into existing AML frameworks
Analyse case studies on AI-driven AML solutions
Address challenges and risks of AI in AML
Develop strategies for AI implementation and management
Training Outline
Introduction to AI and AML
Overview of AI Technologies
Importance of AI in AML
Regulatory Perspectives
EBA, CBC, ESMA, CySEC Guidelines
Compliance Requirements
AI Tools for AML
Risk Detection and Monitoring
Transaction Analysis
Customer Due Diligence with AI
Enhanced Due Diligence Processes
KYC and Customer Profiling
Integrating AI with AML Frameworks
Implementation Strategies
Case Studies
Challenges and Risks
Addressing AI Risks
Ethical Considerations
Future Trends in AI and AML
Emerging Technologies
Innovation in AML Solutions
Who Should Attend
AML Officers
Compliance Professionals
Risk Managers
Data Analysts
IT and Technology Specialists
Regulatory Affairs Specialists
Training Style
The course employs a combination of lectures, demonstrations, case studies, and interactive discussions. Participants will explore AI applications through practical exercises and scenario analysis to understand its impact on AML efforts.
CPD Recognition
This programme may be approved for up to 6 CPD units in Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.
This training course may be approved as an external activity under the new ACAMS recertification category ''non-ACAMS credits'' for up to 6 CPD units. Eligibility criteria and CPD Units are verified directly by the Association of Anti-Money Laundering Specialists (ACAMS). To read more about the non-ACAMS credits policies and eligibility criteria please click here.
In-house Training
For groups within the same organisation, this course may be customized to meet any specific needs and delivered in-house.

Sarkis Mazraani
Sarkis Mazraani is an experienced professional in Banking, Governance, Compliance, Technology, and Regulatory Affairs, with a strong background in research and lecturing. He spent 20 consecutive years at Standard Chartered Bank, focusing on Operational Risk Management, Fintech, Regtech, and Cybersecurity. His expertise includes Anti-Financial Crime, Anti-Money Laundering (AML), Combating the Financing of Terrorism (CFT), ISO implementation, Blockchain, Cryptocurrency, and Financial Technology. He has played a key role in strengthening compliance frameworks for both international and local banks. Sarkis is certified by ACAMS, Grant Thornton, and the University of London. He is a frequent speaker and facilitator at international conferences, and also delivers training and coaching in soft skills and management. Currently, he provides advisory, consultancy, training, lecturing, and coaching services in Governance, Risk Management, and Compliance (GRC) across the Middle East, GCC, North Africa, Australia, and the USA — in both English and Arabic.