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Engineering privacy into Brightpath, a consumer wellness app, around a map of one person's data: at the centre the user, with flows out to the production database, the analytics warehouse, a 2024 export bucket, the support tool, a crash-reporting service, an EU mailer and a US analytics partner that received health data with no agreement and is flagged. Beside the map, the eight disciplines that protect that data: every store recorded in the ROPA, sharing made private and opt-in by default, location reuse for advertising blocked for lack of a lawful basis, consent with no pre-ticked boxes and one-tap withdrawal, access and erasure requests covering all nine systems, four unused fields dropped, de-identified data raised from a minimum group size of 1 to 20, and analytics run within a privacy budget with 3.0 of 10 spent.
CY-MID-014Mid Level · Privacy Engineering

Privacy Engineering — The Privacy Map

A hands-on mid-level course that engineers privacy into a product handling a great deal of personal data. Work the privacy map - the person's data at the centre, protected by eight disciplines: Data Mapping, Privacy by Design, Lawful Basis, Consent, Rights, Minimization, De-identification, and Privacy in Analytics - collecting only what is needed, honouring people's rights, and building privacy in by default, with real privacy tooling. Four hands-on activities in every lesson.

15 hours8 chapters32 lessons225 activities8 labs

What you'll learn

  • Build a living map of the personal data you hold and where it flows.
  • Apply privacy by design and default, DPIAs, and privacy threat modelling.
  • Engineer valid, enforced consent and fulfillable data rights.
  • Minimize data, de-identify soundly, and do privacy-preserving analytics.

Price:৳8,000
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