Role-Based Programme
RB1635

AI-Powered Data Privacy & Data Protection

Intelligent Privacy Governance, Risk Assessment & Compliance Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across privacy governance, data protection, data mapping, risk assessment, rights management, breach response, and compliance monitoring.
  • Use AI to analyse privacy notices, policies, data inventories, processing records, contracts, assessments, incidents, requests, and regulatory documentation.
  • Build repeatable AI-assisted workflows for data discovery, privacy reviews, impact assessments, third-party assessments, rights requests, breach documentation, and compliance reporting.
  • Apply AI to identify privacy gaps, high-risk processing activities, data-governance issues, recurring exceptions, and areas requiring specialist review.
  • Design responsible AI-enabled Data Privacy & Data Protection workflows with appropriate controls for confidentiality, lawful processing, data minimisation, accuracy, transparency, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIPrivacy Risk AnalyticsData Mapping & Classification ToolsSpreadsheet & Data AnalysisRegulatory Intelligence ToolsKnowledge Management AIReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Data Protection Officers
  • Privacy Managers
  • Data Privacy Professionals
  • Data Protection Professionals
  • Privacy Analysts
  • Legal Counsel
  • Compliance Managers
  • Information Governance Professionals
  • Data Governance Professionals
  • Risk & Compliance Professionals
  • Privacy Operations Professionals
  • Information Security Professionals
  • Third-Party Risk Professionals
  • Legal & Compliance Analysts
  • Data Privacy & Protection Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of data privacy, data protection, compliance, legal, risk, or information governance activities
  • Familiarity with privacy policies, personal-data processing, contracts, data inventories, data-subject requests, or privacy assessments
  • Basic proficiency with documents, spreadsheets, data interpretation, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, Document AI, privacy analytics, and workflow automation
  • Mapping AI opportunities across privacy governance, assessments, monitoring, and operations
  • Understanding AI assistance versus qualified legal, privacy, and compliance judgement
  • Recognising privacy, confidentiality, hallucination, and sensitive-data risks when using AI
Practical activities
  • Mapping an existing privacy-management lifecycle and identifying AI opportunities
  • Comparing manual and AI-assisted privacy activities
  • Creating a Privacy AI opportunity matrix based on value, sensitivity, and risk

Scenarios

New Data Processing Activity to Privacy Approval

Business Requirement → Data Mapping → Personal Data Classification → Privacy Impact Assessment → Third-Party Review → Control Design → Approval → Monitoring

Participants use AI-assisted techniques to evaluate a simulated new data-processing activity, identify privacy risks, document required controls, and prepare a structured privacy-assessment pack for authorised review.

Privacy Operations to Continuous Compliance Monitoring

Rights Requests + Processing Records + Third-Party Reviews + Privacy Incidents + Retention Data + Remediation Actions → AI Analysis → Risk Themes → Priority Issues → Automated Follow-Up → Dashboard → Privacy Governance Reporting

Participants design an AI-enabled privacy-management workflow that consolidates operational privacy information, highlights recurring risks and overdue actions, improves compliance visibility, and supports governance reporting while retaining all legal and privacy decisions with authorised professionals.

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