You Can Register on
22 May 2026
Course Info
Trainer/s
Training activity Hours
38
Training activity Date
2026-06-07 - 2026-06-28
Training Activity Days
Sunday, Monday, Tuesday, Wednesday, Thursday
Start and End Time
17:00 - 20:00
Training Activity Language
English
Methodology
Blended
Type of Training
Specialized diploma
Deadline for registration
Friday, 5 June 2026, 5:00 PM
Price For Jordanian
304 JOD
Price For Non Jordanian
570 US$
Description
AI: Intelligent Compliance addresses the compliance challenge — how financial institutions can move beyond rule-based detection to AI-powered investigation that reduces false positives, improves detection quality, and satisfies regulatory explainability requirements. Three courses cover AI architecture, pattern recognition, and blockchain-specific compliance
Outcomes
Explain why rule-based compliance systems produce unsustainable false-positive rates. Design and configure AI-powered multi-agent investigation pipelines, and interpret their structured outputs. Apply hypothesis-driven and evidence-driven reasoning to evaluate compliance alerts objectively and avoid confirmation bias. Produce audit-ready compliance decisions and documentation that satisfy regulatory explainability requirements. Catalog major financial crime typologies and describe their statistical signatures. Build feature matrices and apply clustering/classification techniques to identify suspicious transaction patterns. Distinguish anomalous-but-legitimate behavior from genuinely suspicious activity using contextual and adversarial analysis. Compare digital asset regulatory frameworks, apply on-chain analytics, explain FATF Travel Rule challenges, and design blockchain compliance screening processes
Course Video
Contents
A1 - Fundamentals of AI-Powered Financial Compliance The Compliance Problem Intelligent Investigation Architecture Evidence Evaluation & Decision Calibration Applied Lab: AI Investigation Pipeline A2 - Pattern Recognition in Financial Crime Detection Classical Financial Crime Typologies Blockchain-Specific Crime Patterns Feature Engineering & Contextual Analysis Applied Lab: Crime Pattern Analysis A3 - Blockchain Compliance & Digital Asset Risk Assessment Regulatory Landscape for Digital Assets On-Chain Analytics & Address Intelligence The FATF Travel Rule & Emerging Asset Compliance Applied Lab: Blockchain Screening
Target Group
Banking, compliance, AML/CFT, risk, digital asset, and regulatory professionals seeking to understand and apply AI-powered compliance, financial crime detection, and blockchain risk assessment using AI