Wardya Certified Professional
The Professional tier validates implementation-grade skill across multiple specialization tracks. Stack one or more Professional certificates as your role grows.
Flagship: Wardya Certified Trust Intelligence Professional covers Identity, AML, Fraud, AI, and Data Intelligence Platform in a single credential.
Professional certificates
- Wardya Certified Trust Intelligence Professional (flagship)
- Wardya Certified AML Intelligence Professional
- Wardya Certified Fraud Intelligence Professional
- Wardya Certified AI Intelligence Professional
- Wardya Certified Data Intelligence Platform Professional
- Wardya Certified Developer Integration Professional
- Wardya Certified Compliance Operations Professional
Required courses
Each Professional certificate requires its anchor course plus a specialization course. Examples:
- AML Intelligence Professional → AML Intelligence + Financial Data Intelligence
- Fraud Intelligence Professional → Fraud Intelligence + Geospatial Intelligence
- AI Intelligence Professional → AI Intelligence + Identity Intelligence
- Data Intelligence Platform Professional → Data Intelligence Platform + Financial Data Intelligence
- Developer Integration Professional → Developer Integration + Identity Intelligence
- Compliance Operations Professional → AML Intelligence + Admin Governance
Exam
| Property | Value |
|---|---|
| Questions | 80 |
| Passing score | 80% |
| Duration | 120 minutes |
| Format | Scenario questions plus one practical lab |
| Retake policy | 14-day cooldown, up to 3 attempts |
Domains (general professional)
| Domain | Weight |
|---|---|
| Track-specific intelligence | 30% |
| Cross-track integration | 25% |
| Risk operations | 20% |
| Case management | 15% |
| Audit and compliance reporting | 10% |
Sample question
Question. A user passes KYC but later receives funds from multiple unrelated accounts and quickly withdraws them. What should Wardya likely trigger?
- A. No action
- B. Password reset
- C. Fraud / AML alert
- D. Tenant deletion
Answer. C
Audience
- Developers, fraud analysts, and compliance officers
- Solution engineers, IAM administrators
- Risk managers and operations leads
- Data and ML engineers governed by model risk teams