Engineers Clinic
AdvancedBusiness trackZA-CP-04

AI Credit Scoring with Fairness Audit

Build a credit model on imbalanced data, then audit it for disparate impact across protected groups and publish a model card.

10 Guided Steps240h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview

Build a credit model on imbalanced data, then audit it for disparate impact across protected groups and publish a model card.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

  • Functionality & requirements30
  • Technical quality & architecture25
  • Documentation15
  • Deployment & evidence15
  • Innovation10
  • Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
240-hour South Africa programme. The FSCA and SARB have moved to outcome-based regulation of AI in financial services. Fairness evidence is now expected.
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.