Data Protection Training for Data Protection Officers

Learn data protection for DPOs, GDPR compliance, AI governance, DPIAs, RoPA, automated decision-making, vendor risk, breach management, and ethical AI oversight.

  • 5.0 (6 reviews)
  • 21 students
  • 2 hours
  • Level 1

What you'll learn

  • Explain how GDPR and global privacy frameworks apply to AI, automated decision-making, profiling, and emerging technologies
  • Understand the DPO’s responsibilities in AI governance, DPIAs, RoPA, vendor oversight, audits, and regulatory engagement
  • Identify AI-related risks including data leakage, model inversion, adversarial attacks, bias, discrimination, and security failures
  • Support incident response, breach notification, technical safeguards, ethical review, and risk mitigation in AI-driven environments
  • Apply practical tools and case study learning to AI DPIAs, recruitment systems, generative AI, biometrics, and future privacy challenges

Course Description

Data Protection Officers are increasingly expected to advise on complex data protection risks involving artificial intelligence, automated decision-making, profiling, biometrics, cloud platforms, third-party algorithms, and emerging technologies. The Data Protection Training for Data Protection Officers course helps learners understand how core data protection principles apply in modern AI-enabled environments. This practical online course explores GDPR and global privacy frameworks, the role of DPOs in AI projects, automated decision-making, data subject rights, DPIAs, Records of Processing Activities, AI vendor governance, compliance audits, breach management, AI security risks, fairness, transparency, bias, deepfakes, surveillance, human rights, generative AI, predictive analytics, and future data protection challenges. It is designed for Data Protection Officers, privacy leads, compliance professionals, legal teams, risk managers, governance specialists, and senior staff responsible for data protection oversight in organisations using or planning to use AI.

 

Course Includes

⏱ Flexible Online Learning
📚 5 Practical Modules
🎓 Certificate on Completion
💻 Learn Anytime, Anywhere

Course Curriculum

5 sections

•

0 lectures

    • GDPR & Global Privacy Frameworks in the Age of AI: GDPR, UK DPA, CCPA, LGPD, and POPIA

    • Roles & Responsibilities of Data Protection Officers in AI Projects

    • Introduction to Artificial Intelligence & Data Processing Models

    • Data Subject Rights in Automated Decision-Making & Profiling: Article 22 GDPR

    • Data Protection Impact Assessments for AI-Driven Projects

    • Records of Processing Activities Including AI-Related Processing

    • Vendor & Third-Party Management: AI Cloud Providers and Algorithms-as-a-Service

    • AI Compliance Audits, Reporting & Regulatory Engagement

    • Technical & Organisational Measures for AI Security: Encryption, Pseudonymisation, and Access Control

    • AI-Specific Risks: Data Leakage, Adversarial Attacks, and Model Inversion

    • Incident Response & Breach Notification in AI-Driven Environments: 72-Hour Rule

    • Risk-Based Approach to AI Compliance & Mitigation

    • Ethical Frameworks: Fairness, Accountability, and Transparency in AI

    • Bias, Discrimination & Algorithmic Justice: HR, Finance, and Healthcare Use Cases

    • Deepfakes, Surveillance & Human Rights in AI Governance

    • Building a Privacy-First & AI-Ethical Culture in Organisations

    • Hands-On Workshop: AI DPIA Template & Assessment Walkthrough

    • Case Study: AI-Driven HR Recruitment System: Bias & Transparency Issues

    • Emerging Tech: LLMs, Generative AI, Biometrics & Predictive Analytics

    • Future of AI & Data Protection: EU AI Act, Global Convergence & Quantum Tech

Why Take this Course

The DPO role is evolving as organisations adopt artificial intelligence, automated decision systems, machine learning tools, biometrics, large language models, and cloud-based AI services. These technologies can create new risks involving transparency, fairness, explainability, bias, profiling, security, vendor oversight, and individual rights.

This course helps learners understand how DPOs can support responsible data protection governance in AI-driven environments. It focuses on practical responsibilities such as advising on AI projects, conducting DPIAs, maintaining RoPA, reviewing vendors, assessing automated decision-making, managing AI-related security risks, responding to incidents, supporting audits, and building a privacy-first and ethically aware organisational culture. By completing this course, learners can strengthen their ability to advise, challenge, document, and monitor data protection risks in modern technology projects.

This course helps you:

✓ Understand GDPR and global privacy frameworks in the context of AI and emerging technologies
✓ Clarify the DPO’s role in AI projects, automated decision-making, profiling, and governance
✓ Apply DPIAs, RoPA, vendor oversight, audits, and regulatory engagement to AI-related processing
✓ Recognise AI-specific risks such as data leakage, adversarial attacks, model inversion, bias, and discrimination
✓ Build privacy-first, ethical, accountable, and future-ready data protection practices

Who this Course is for

  • Data Protection Officers
  • Privacy & Compliance Professionals
  • Legal & Governance Teams
  • Risk, Security & IT Teams
  • HR, Finance & Healthcare Leaders

Requirements

  • 16 years or above
  • Good command in English
  • A running computer with stable internet connection

Assessment & Certificate

Validate Your Data Protection and AI Governance Knowledge

Complete course assessments to reinforce your understanding of data protection principles, AI governance, DPO responsibilities, DPIAs, RoPA, automated decision-making, vendor risk, security controls, breach management, ethics, bias, and future technology risks.

After successful completion, you will receive a certificate recognising your achievement.

Career Opportunities

This course supports professionals working in data protection, privacy governance, compliance, AI governance, legal operations, risk management, information security, technology governance, and organisational leadership.

· Builds practical knowledge for DPOs working with AI and emerging technologies
· Supports development in privacy, compliance, AI governance, legal, and risk roles
· Strengthens awareness of DPIAs, RoPA, vendor oversight, automated decision-making, and breach response
· Helps privacy, legal, IT, HR, finance, and governance teams work together more effectively
· Supports professionals involved in responsible AI, ethical data use, regulatory readiness, and future privacy strategy

Student Reviews

5.0

Course Rating

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The instructor explains complex concepts in a way that's easy to understand. I landed my first developer job just 3 months after completing this course.

Great content and well-organized curriculum. The projects are challenging but rewarding. Sarah is an amazing instructor who really cares about student success.

Excellent course structure and hands-on projects. The real-world examples and practical exercises make learning enjoyable and effective. Highly recommended for beginners!

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Frequently Asked Questions

This course is suitable for Data Protection Officers, privacy leads, compliance professionals, legal teams, governance teams, risk managers, security teams, technology leaders, and anyone responsible for overseeing data protection in AI-enabled projects.

No. GDPR is a key focus, but the course also introduces wider global privacy frameworks, including UK data protection law, CCPA, LGPD, POPIA, and emerging AI governance considerations.

Yes. The course includes DPIAs for AI-driven projects, AI-related RoPA documentation, vendor and third-party oversight, regulatory engagement, and a hands-on AI DPIA template walkthrough.

Yes. The course covers data subject rights in automated decision-making and profiling, bias, discrimination, algorithmic justice, transparency, fairness, and case studies involving HR, finance, and healthcare use cases.

No. This course provides general training on data protection, DPO responsibilities, and AI governance. It does not provide legal advice. Organisations should consult qualified legal, privacy, compliance, or data protection specialists when applying requirements to real AI systems or processing activities.