Mastering Financial Compliance and Anti-Money Laundering

Starweaver develops an AML program from regulation and governance through customer onboarding and detective controls. Four modules connect risk assessment, policy design, beneficial-ownership checks, screening, transaction review and audit preparation. The syllabus also examines generative AI as an aid to compliance work, with human review still essential.

What you will learn

• Map risk-based controls and policy gaps
• Assess KYC, beneficial ownership and screening
• Organize monitoring findings and reporting evidence

Who this suits

For learners already familiar with financial services who want to understand how governance, frontline checks and investigations support one another.

Before you enroll

Coursera labels this intermediate and estimates one week at ten hours of study. The instruction covers multiple regulatory settings; it does not qualify learners to give legal advice or make every jurisdiction’s reporting decisions. Never put confidential customer records into an unapproved AI service.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Draft a control map for a fictional payment business. Give each risk an owner, evidence requirement and escalation route, then identify where an automated suggestion would require independent verification.

Source and review

This overview is based on the provider's published information, checked on 13 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

How YellowCourse describes and checks learning resources.