Description

Introduction

The Certified Data Privacy Solutions Engineer (CDPSE) course is designed to equip professionals with the skills and knowledge necessary to build and implement privacy solutions in alignment with business goals and data protection regulations. Participants will gain expertise in data governance, privacy-enhancing technologies, and the integration of privacy by design principles into IT systems and processes.

By the end of this course, participants will be well-prepared to handle privacy challenges across various sectors, ensuring compliance with regulations such as GDPR, CCPA, HIPAA, and others. This certification is intended for those involved in the creation and management of enterprise data protection and privacy frameworks.

Prerequisites

1. Basic understanding of IT systems and data management
2. Familiarity with data privacy laws (e.g., GDPR, CCPA)
3. Experience in IT governance, risk management, or compliance is beneficial
4. Intermediate-level experience with network security and data handling
   

Table of Contents

 

Session 1: Introduction to Data Privacy & Regulatory Landscape

1. Overview of data privacy and protection
2. Key global regulations (GDPR, CCPA, HIPAA)
3. Principles of privacy engineering
4. Role of a Data Privacy Solutions Engineer
5. Introduction to privacy by design and default

 

Session 2: Data Governance Frameworks

1. What is data governance?
2. Implementing privacy into data governance
3. Data classification and handling
4. Policies and procedures for data management
5. Stakeholder roles in data governance

 

Session 3: Privacy Impact Assessments (PIA) and Data Protection Impact Assessments (DPIA)

1. Understanding PIA and DPIA
2. Conducting assessments effectively
3. Identifying and mitigating privacy risks
4. Best practices for continuous privacy monitoring

 

Session 4: Privacy-Enhancing Technologies (PETs)

1. Overview of privacy-enhancing technologies
2. Encryption and anonymization techniques
3. Pseudonymization and tokenization
4. Secure multi-party computation
5. Implementing PETs in business systems

 

Session 5: Designing Privacy by Design Solutions

1. Understanding privacy by design
2. Privacy architecture and system design
3. Integrating privacy into IT lifecycle
4. Best practices for embedding privacy into systems
5. Case studies: Real-world privacy by design implementations

 

Session 6: Implementing Data Security for Privacy

1. Data security principles (CIA Triad)
2. Security measures for data privacy
3. Securing data in motion and at rest
4. Monitoring and incident response for data breaches
5. Tools and technologies for data protection

 

Session 7: Managing Privacy Programs

1. Building and managing privacy programs
2. Aligning privacy programs with business objectives
3. Roles and responsibilities in a privacy program
4. Privacy training and awareness programs
5. Auditing and monitoring privacy programs

 

Session 8: Incident Management and Data Breach Response

1. Understanding data breach laws and regulations
2. Steps in handling data breaches
3. Creating an incident response plan
4. Post-incident evaluation and reporting
5. Incident case studies

 

Session 9: Legal and Compliance Aspects of Privacy

1. Key legal considerations for data privacy
2. Understanding data processing agreements
3. Handling cross-border data transfers
4. Compliance audits and certifications
5. Case law and emerging regulations
   

Session 10: Certification Exam Preparation

1. Review of core topics covered
2. Sample questions and practice tests
3. Study tips and exam strategies
4. Addressing common challenges in the exam
   

This structure will ensure that participants gradually build on their knowledge as they progress through the sessions and are well-prepared for the certification exam.