Identity Intelligence Fundamentals
Course goal — Teach identity as a risk, trust, and compliance signal. Level — Associate · Duration — ~6 hours · Format — Lessons + labs + final project
Who this is for
- Compliance officers, fraud analysts, and onboarding teams
- Backend developers integrating verification APIs
- Security engineers covering IAM and identity assurance
- Students entering the identity, fintech, or RegTech space
Modules
- Introduction to identity intelligence
- Digital identity lifecycle
- KYC, KYB, and eKYC basics
- Identity verification signals (document, biometric, device, behavior)
- Entity resolution and identity graphs
- Synthetic identity detection
- National ID integrations: Fayda, MOSIP, eID
- Privacy, consent, and auditability
Hands-on labs
- Create a sample customer identity profile
- Run identity verification using mock API data
- Detect duplicate and synthetic identity patterns
- Build a basic identity risk score
Final project
Build an identity verification workflow for a bank onboarding user — covering capture, verification, scoring, decision, and audit evidence.
Knowledge check
A 20-question quiz covers identity lifecycle, verification signals, graph reasoning, and privacy duties. A 75% passing score unlocks the course-completion badge.
Outcomes
- Explain how identity becomes a trust signal across a financial system
- Choose the right verification signals for a given onboarding scenario
- Describe how identity graphs surface synthetic identity rings
- Apply privacy-by-design principles to identity workflows
Prepares you for
- Wardya Certified Associate: Identity & AML Foundations
- Wardya Certified Professional: Compliance Operations
- Wardya Certified Professional: Developer Integration