Hands-On Labs

Every Wardya Academy course pairs lessons with labs against realistic scenarios. Labs use sandbox data, mock APIs, and reference workflows so you can build skill without touching production.

Identity & verification

• 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

AML & fraud

• Screen a customer against sample sanctions and PEP lists
• Flag suspicious transaction behavior with a rule and a model
• Create an AML case with linked evidence
• Generate a SAR-style report

AI labs

• Train a baseline fraud risk classifier on synthetic data
• Build a feature pipeline for identity verification signals
• Add explainability with local feature attributions
• Configure a human-review queue with override capture
• Monitor model drift and trigger retraining alerts

Data intelligence labs

• Ingest a sample bank statement stream into a typed pipeline
• Resolve customers across CRM, KYC, and transaction systems
• Build a data quality contract with breaking-change alerts
• Author a risk data model for fraud signal aggregation
• Ship a trust intelligence dashboard with role-scoped views

Financial data

• Categorize a sample transaction stream
• Estimate customer income from bank statements
• Detect abnormal account behavior
• Build a financial trust profile

Geospatial risk

• Detect impossible travel from session and transaction logs
• Map risky transaction locations
• Build a country-level risk rule
• Flag cross-border anomalies in a remittance flow

Cyber defense

• Configure an MFA policy with step-up authentication
• Detect risky login behavior in session logs
• Build a session risk rule
• Design a Zero Trust access workflow

Developer integration

• Call the Wardya verification API end-to-end
• Build a KYC onboarding flow with sandbox keys
• Consume Wardya webhooks with signature verification
• Implement retry, idempotency, and error handling

Admin governance

• Create tenant policies with approvals and version control
• Configure verification, screening, and fraud risk thresholds
• Assign least-privilege admin roles with step-up authentication
• Export audit evidence for a regulator request

Lab platform principles

• Sandbox-only data, never real customer records
• Reproducible setup with documented inputs and expected outputs
• Reviewable evidence for certification practical components
• Privacy-respecting datasets