AdvancedSecurity trackDE-CP-10

GDPR-Compliant Synthetic Data Generator

Generate synthetic data that preserves statistical utility while resisting membership-inference attacks, with the privacy-utility frontier plotted.

10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Generate synthetic data that preserves statistical utility while resisting membership-inference attacks, with the privacy-utility frontier plotted.

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

480-hour Germany programme. German data protection culture is the strictest in Europe; synthetic data is how teams develop without touching real records.

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.