Draft GDPR + AI Act Data Provisions for a Training-Data Vendor
Overview
What this challenge is about.
Draft GDPR and AI Act data provisions for a training-data vendor, then redline a contract and build a customer-facing data sheet. Earn a verifiable certificate.
The scenario
The vendor (around 90 staff, around USD 30 million annual recurring revenue, growing on enterprise AI demand) loses around 10 percent of large deals to data-protection objections at the legal review stage; tightening the MSA is the GC's priority for the next quarter.
The Brief
What you'll do, and what you'll demonstrate.
Redline a training-data vendor's MSA data-protection schedule to cover GDPR plus the EU AI Regulation's data-governance obligations, plus a customer-facing summary.
Earning criteria — what you'll demonstrate
- Apply GDPR processor obligations and the AI Regulation's data-governance rules in tandem
- Redline real contract clauses with legal-grade precision
- Translate contract language into customer-facing plain English
- Reason about which clauses are negotiable in enterprise procurement
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Data Protection Law
Apply data protection law to solve real industry problems and demonstrate production-level capability.
- Contract Redlining
Apply contract redlining to solve real industry problems and demonstrate production-level capability.
- Regulatory Analysis
Apply regulatory analysis to solve real industry problems and demonstrate production-level capability.
- Data Governance
Apply data governance to solve real industry problems and demonstrate production-level capability.
- Stakeholder Communication
Apply stakeholder communication to solve real industry problems and demonstrate production-level capability.
- Ai Governance
Apply ai governance to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Manager
Owning the data-protection posture of a high-stakes enterprise AI product is exactly the regulated AI PM's contribution to closing large deals.
This challenge sharpens
- data-protection-law
- regulatory-analysis
- stakeholder-communication
AI Solutions Architect
Translating contract clauses into engineering controls (logging, sub-processor management, deletion) is the architect's daily craft.
This challenge sharpens
- data-governance
- ai-governance
- regulatory-analysis
AI Safety Researcher
Data-governance and bias documentation obligations bridge directly into the safety researcher's responsible-AI portfolio.
This challenge sharpens
- data-governance
- ai-governance
- data-protection-law