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PIA - Privacy Impact Assessment Training

Course Rating
4.8 (18)
Active Learners
26

What's included in this Course

  • 5 Modules
  • Access on Mobile and Desktop
  • 5 Exercises, 1 Final Quiz
  • One-year Access

Course Description

Privacy risks can arise whenever an organization introduces a new system, uses sensitive information, monitors individuals, transfers data internationally, or deploys artificial intelligence. The PIA – Privacy Impact Assessment Training course provides a structured understanding of how privacy risks can be identified, assessed, documented, and managed within the French data protection environment.

 

The course introduces the foundations of Privacy Impact Assessments and their relationship with Data Protection Impact Assessments under the GDPR. Learners will examine how to define a processing activity, evaluate its necessity and proportionality, identify risks to individuals, and select suitable technical and organizational controls.

 

The curriculum also covers cross-border data protection measures, sensitive data environments, surveillance activities, high-risk processing, and artificial intelligence. Learners will explore how regulatory expectations and enforcement trends influence assessment quality, documentation, and organisational accountability.

 

By connecting privacy methodology with operational decision-making, this Privacy Impact Assessment course helps professionals contribute to stronger privacy governance and more consistent DPIA processes.

 

Course Overview

The PIA – Privacy Impact Assessment Training combines privacy risk analysis, French data protection requirements, organizational controls, and operational DPIA management within one focused learning pathway.

 

The course begins with the foundations of privacy assessment and the French data protection framework. Learners then explore a structured methodology for describing processing activities, evaluating privacy impacts, assessing risks to individuals, and documenting the reasoning behind important decisions.

 

Later sections examine technical, organizational, and cross-border controls that can reduce privacy risks. The course also considers high-risk processing involving surveillance, sensitive data, and environments where personal information may create significant consequences for individuals.

 

The final section focuses on artificial intelligence, enforcement developments, and the operational management of DPIAs. By completing the course, learners will develop a clearer understanding of when a privacy assessment may be required, how assessment decisions should be documented, and how privacy risks can be monitored throughout the processing lifecycle.

What you'll learn

By the end of this course, participants will be able to:

  • Understand the foundations of privacy impact assessment within GDPR, CNIL, and France’s data protection framework.
  • Identify when a DPIA may be mandatory by assessing high-risk processing criteria and Article 35 GDPR requirements.
  • Analyze personal data processing activities, purposes, information flows, legal basis, necessity, proportionality, and data minimization.
  • Assess privacy risks through threat modeling, individual harm analysis, CNIL PIA methodology, and residual risk review.
  • Apply technical and organizational privacy controls, including encryption, access control, logging, retention, transparency, and data subject rights management.
  • Evaluate vendor governance, cloud processing, international data transfer risks, DPO responsibilities, and stakeholder consultation requirements.
  • Examine high-risk processing areas such as health data, employee monitoring, workplace surveillance, biometrics, CCTV, geolocation tracking, profiling, children’s data, and vulnerable individuals.
  • Monitor emerging DPIA challenges connected to artificial intelligence, automated decision-making, algorithmic bias, human oversight, fairness risks, CNIL enforcement trends, and sustainable privacy governance.

Why Choose Us

Our PIA - Privacy Impact Assessment Training is designed to provide a structured, professional, and learner-focused understanding of privacy impact assessment within the French and European data protection environment. The course follows a clear curriculum covering GDPR, CNIL, the Loi Informatique et Libertés, Article 35 requirements, privacy by design, accountability, high-risk processing, DPIA methodology, risk analysis, privacy controls, sensitive processing, AI, and operational governance.

The training emphasizes practical knowledge transfer and workplace relevance. Participants explore topics that matter in real organizational settings, including personal data processing maps, information flows, necessity and proportionality, legal basis, data minimization, threat modeling, residual risk, documentation standards, encryption, access control, logging, retention, data subject rights, vendor governance, cloud processing, international transfers, stakeholder consultation, and DPO responsibilities.

This educational approach supports professionals who need clear explanations and structured data protection knowledge without exaggerated claims or unsupported promises. The course is built around professional development, privacy governance, compliance relevance, and responsible data use, helping learners understand how PIA and DPIA practices apply to high-risk processing, surveillance, health data, employee monitoring, biometrics, AI, and emerging technologies.

Who is this course for

This course is suitable for professionals involved in privacy risk assessment, data protection governance, GDPR compliance, high-risk processing review, or organizational decision-making around personal data.

  • Data protection officers
  • Privacy professionals
  • Compliance officers
  • Risk managers
  • Legal and governance professionals
  • Information security professionals
  • IT and technology managers
  • Internal auditors
  • HR professionals involved in monitoring or employee data processing
  • Healthcare data governance professionals
  • Procurement and vendor management professionals
  • Cloud and outsourcing oversight teams
  • Managers responsible for AI, surveillance, biometrics, or profiling systems
  • Directors responsible for compliance, privacy, data governance, or digital transformation

Requirements

No specific prior experience is required to enroll in this PIA - Privacy Impact Assessment Training course. A general interest in GDPR, privacy, compliance, risk management, data protection, security, AI governance, healthcare data, HR monitoring, or vendor oversight may be helpful.

Certification

Upon successful completion of this course, learner will receive a free Certificate of Completion

Certificate Image

Career Path

Completing PIA - Privacy Impact Assessment Training may support professional development in roles and responsibility areas connected to privacy risk assessment, GDPR compliance, DPIA support, data protection governance, and high-risk processing oversight.

  • Data protection support
  • DPIA and privacy impact assessment coordination
  • GDPR compliance support
  • Privacy governance support
  • Risk management
  • Internal audit and compliance evidence support
  • Vendor and cloud processing oversight
  • AI, surveillance, and sensitive data governance support

Course Curriculum

5 sections 2.5 hours total length

Foundations of Privacy Impact Assessment and France’s Data Protection Framework

  • Evolution of Privacy Rights, GDPR, and France’s Data Protection Environment
  • CNIL, Loi Informatique et Libertés, and Article 35 GDPR Requirements
  • Privacy by Design, Accountability, and Risk-Based Data Governance
  • High-Risk Processing Criteria and Determining When a DPIA Is Mandatory

Privacy Impact Assessment Methodology and Risk Analysis

  • Mapping Personal Data Processing Activities, Purposes, and Information Flows
  • Necessity, Proportionality, Legal Basis, and Data Minimization Evaluation
  • Privacy Risk Identification, Threat Modeling, and Individual Harm Analysis
  • CNIL PIA Methodology, Residual Risk Decisions, and Documentation Standards

Technical, Organizational, and Cross-Border Privacy Controls

  • Encryption, Access Control, Logging, and Security Safeguards in DPIA Practice
  • Data Retention, Transparency Obligations, and Data Subject Rights Management
  • Vendor Governance, Cloud Processing, and International Data Transfer Risks
  • DPO Responsibilities, Internal Governance Structures, and Stakeholder Consultation

High-Risk Processing, Surveillance, and Sensitive Data Environments

  • Health Data Processing, HDS Requirements, and Medical Privacy Risk Assessment
  • Employee Monitoring, Workplace Surveillance, and Biometric Access Systems
  • CCTV, Geolocation Tracking, Behavioral Profiling, and Public Monitoring Technologies
  • Children’s Data, Education Platforms, Vulnerable Individuals, and Sensitive Processing Risks

Artificial Intelligence, Enforcement Trends, and Operational DPIA Practice

  • Artificial Intelligence, Automated Decision-Making, and GDPR Article 22 Compliance
  • Algorithmic Bias, Human Oversight, Fairness Risks, and Emerging AI Governance Challenges
  • CNIL Enforcement Trends, Regulatory Investigations, and Common Organizational Failures
  • Conducting End-to-End DPIA Assessments and Building Sustainable Privacy Governance Systems