DPIA and Privacy-by-Design Assurance

A forty-hour Pro-level data protection impact assessment simulation run on a live DPIA command board, where you are Head of Privacy Engineering at a digital-health provider whose launch-gate review finds a nine-page template DPIA for a remote-monitoring and AI-triage service sixteen weeks before go-live; you rebuild it on evidence, minimise and control the processing, hold back the AI model the evidence cannot yet support, consult patients and the regulator, and win a Board resolution everyone can be held to.

What you'll learn

• Screen, scope and describe high-risk processing from what systems actually do, and test necessity and proportionality field by field, reading by reading and day by day.
• Identify and score risks to individuals, design privacy engineering controls to each harm and verify them by evidence — including for AI-assisted decisions, processors and international transfers.
• Consult data subjects, the DPO, clinical safety and the regulator in ways that change the assessment, and score residual risk only on controls shown to work.
• Keep a DPIA alive after launch with review triggers, monitoring and privacy KRIs, and win a board resolution with conditions, owners and dates that can be tested.

Sign in to enrol — you can pay by bKash or Nagad, or apply a promo code.