Training
Data Protection (GDPR) for Business Software Engineering Trainings

Introduction to Privacy Engineering

Foundations of privacy engineering — data protection principles, privacy-preserving techniques, and GDPR-aligned engineering practices.

Remote / On-site
Format
English
Language

About This Course

About This Course

This course addresses the growing need for professionals with expertise in privacy engineering, as organisations increasingly face challenges in managing and protecting sensitive data in compliance with ever-evolving data protection regulations. Participants gain a comprehensive understanding of privacy engineering principles, methodologies, and practical applications, enabling them to effectively implement privacy-focused solutions within their organisations. This helps minimise the risk of data breaches, non-compliance penalties, and reputational damage while fostering a culture of privacy and trust among customers and stakeholders.

What You Will Learn

  • Understand core data protection principles and the regulatory landscape (GDPR, CCPA)
  • Apply anonymisation, pseudonymisation, and data minimisation techniques
  • Embed privacy requirements into software design and architecture
  • Conduct privacy impact assessments and map data flows
  • Build consent management architectures and implement data subject rights

Prerequisites

  • Basic understanding of software development or IT operations
  • Familiarity with data management concepts
  • No prior privacy engineering experience required

Agenda

  1. Privacy Engineering Fundamentals · 45 min
    Data protection principles, privacy terminology, and the regulatory landscape (GDPR, CCPA). Roles of controllers, processors, and DPOs.

  2. Privacy-Preserving Techniques · 60 min
    Anonymisation, pseudonymisation, and data minimisation patterns. Practical approaches to reducing data exposure across systems.

  3. Privacy in the Development Lifecycle · 60 min
    Embedding privacy requirements into software design. Privacy impact assessments, data flow mapping, and consent architecture.

  4. Building a Privacy Culture · 45 min
    Organisational measures, incident response for data breaches, and metrics for measuring privacy maturity. Q&A session.

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