AI, Blockchain & Data Analytics for Financial Crime Compliance: The CAMS Tools & Technologies Masterclass
Global regulators led by the FATF now expect AML/CFT programs to be technology-enabled, yet most …
Course Description
Global regulators led by the FATF now expect AML/CFT programs to be technology-enabled, yet most compliance professionals have never explored these tools from a practical compliance lens. This CAMS-aligned course, built around ACAMS' Tools and Technologies domain, closes that gap.
You'll gain strategic awareness of AI and machine learning in AML detection, agentic AI in sanctions screening, blockchain and cryptocurrency tracing, transaction monitoring logic, OSINT investigation techniques, RegTech governance, RPA, and NLP applications through real-world demonstrations and case studies, not code or system-building.
Delivered by a practitioner with 17+ years in financial crime compliance, this course prepares you to evaluate vendors, strengthen oversight, and meet the technology expectations reshaping the profession — whether you're pursuing CAMS certification or advancing your compliance career.
What you'll learn
- Understand how risk-based transaction monitoring scenarios use SQL and analytics to detect suspicious activity and manage false positives.
- Learn how AI and machine learning models identify complex financial crime patterns beyond rule-based systems.
- Explore cryptocurrency tracing and blockchain analytics techniques such as clustering, wallet analysis, and crypto intelligence tools.
- Use AML analytics dashboards in Tableau and Power BI to convert compliance data into actionable insights.
- Understand AI-enabled sanctions screening including entity resolution, fuzzy matching, and name-screening optimization.
- Apply machine learning for dynamic customer risk segmentation based on behavioral and risk indicators.
- Learn OSINT investigation techniques including digital footprint analysis, geolocation, social media intelligence, and IP tracing.
- Discover NLP applications considered for compliance chatbots, policy search, and regulatory interpretation.
- Evaluate RegTech solutions using structured risk-assessment frameworks aligned with regulatory expectations.
- Understand AML data governance requirements including lineage, validation, and data quality controls.
Requirements
- No prior programming experience is required
- Foundational AML/CFT knowledge — understanding of money laundering stages, KYC, CDD, and basic compliance concepts
About the instructor
Siorik Consultancy Pvt. Ltd
Risk Management ProfessionalSiorik Consultancy Pvt. Ltd helps financial institutions and regulated businesses build AML/CFT programs that hold up under real scrutiny. We combine hands-on compliance advisory risk assessments, transaction monitoring, suspicious activity reporting with applied AI and data science, using predictive modeling to catch patterns that static thresholds miss. We also deliver structured training for compliance professionals, because strong programs need skilled people, not just the right controls. Whether you need a full program build-out, a targeted risk review, or expert support without the overhead of a full-time team, Siorik Consultancy Pvt. Ltd brings practical, technically grounded guidance to keep you ahead of risk and inspection-ready every day.
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Duration
8 hours 16 min -
Lectures
51 -
Enrolled
1 students -
Language
English -
Skill level
Beginner -
Deadline
Subscription -
Certificate
Yes