Data handling
Data stewardship for platform teams
Connects data handling policies to everyday API and batch design choices engineers actually control.
Duration: 5 weeks
Format: Async + mentor checkpoints
Price: 1,100,000 KRW
Walks through classification habits, retention reminders, and partner handoffs without turning into a slide-heavy policy reading. Expect paired exercises and sample tickets.
Included focus
- Field-level thinking exercises with safe sample schemas
- Partner handoff checklist for cross-org workflow
- Developer-friendly glossary tied to your policies
- Office hours focused on anonymization patterns
- Lightweight quiz set for managers to reuse
Outcomes
- Engineers can explain why a field is sensitive in one sentence
- Teams adopt a shared ticket tag set for data tasks
- Design reviews include a repeatable stewardship prompt
Yuri Ahn bridges security curriculum with practical design reviews.
FAQ
Does this cover ML model governance?
We touch model inputs at a high level, but deep ML governance is not included.
Region-specific law deep dives?
We reference Republic of Korea context lightly; your counsel remains authoritative.
What is not included?
No vendor DPIA writing and no automated scanning tool setup.
Participant notes
The cross-org workflow checklist stopped our platform team from improvising partner payloads every release.