Certified Data Privacy Solutions Engineer-CDPSE Course Overview

Last Updated : 01 Feb 2025

Certified Data Privacy Solutions Engineer-CDPSE Course Overview

The Certified Data Privacy Solutions Engineer (CDPSE) course is a comprehensive program designed to equip learners with the necessary skills to implement privacy solutions and manage data protection within their organizations effectively. The course focuses on three critical areas:

Module 1: Privacy Governance, which delves into the fundamentals of personal data and information management, exploring various privacy laws, documentation, consent processes, and responsibilities in data governance. It also emphasizes privacy training, vendor management, risk assessment, and incident management.

Module 2: Privacy Architecture, which teaches learners about the technical aspects of data protection, including Secure technology stacks, Cloud services, System hardening, and Privacy-focused development practices. It covers Encryption, Identity management, and the critical role of Monitoring in maintaining privacy.

Module 3: Data Cycle, which addresses the entire lifecycle of data, from inventory and classification to quality management and Data destruction, ensuring that data is protected throughout its journey within the organization.

By mastering these areas, learners will be well-equipped to support and improve their organization's data privacy frameworks, aligning them with global standards and regulations.

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Course Fee	2,340
Total Fees (with exam)	2,340 (USD)

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Course Fee	1,800
Total Fees (with exam)	1,800 (USD)

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Flexi Video	16,449
Official E-coursebook
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Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Course Prerequisites

To ensure a successful learning experience in the Certified Data Privacy Solutions Engineer (CDPSE) course, students should meet the following minimum prerequisites:

A basic understanding of IT concepts and terminology, especially as they relate to data handling and information systems.
Familiarity with general principles of data protection and privacy, including awareness of personal data and its sensitivity.
Knowledge of key privacy laws and regulations that pertain to data protection, such as GDPR, CCPA, or other regional privacy frameworks.
Some exposure to information security principles and practices, including an understanding of risk management processes.
An awareness of the importance of data subject rights and the general legal requirements for handling personal data.
For the technical aspects of the course, a foundational understanding of information technology systems, including cloud-based services, endpoints, and secure development practices.
Critical thinking and analytical skills to understand and apply privacy governance concepts in a variety of practical scenarios.

It is important to note that while prior knowledge in these areas will greatly benefit the learner, the CDPSE course is designed to build upon these foundational concepts and guide students through more advanced topics in data privacy solutions engineering.

Exam-Format Table

Exam Component	Details
Exam Name	Certified Data Privacy Solutions Engineer (CDPSE) Exam
Exam Type	Multiple Choice Questions (MCQs)
Total Questions	Approximately 120
Passing Score	450 out of 800
Exam Duration	210 minutes
Language	English
Exam Provider	ISACA
Exam Registration	Through ISACA's official certification website or authorized testing centers
Certification Validity	3 years (can be renewed through Continuing Professional Education credits)
Recommended Training	ISACA offers CDPSE Review Courses and other self-study materials

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GDPR - Certified Data Protection Officer (CDPO)

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PCI-DSS Awareness

Certified Data Privacy Solutions Engineer-CDPSE

CompTIA SecurityX CAS-005

GDPR - Certified Data Protection Officer (CDPO)

Target Audience for Certified Data Privacy Solutions Engineer-CDPSE

The Certified Data Privacy Solutions Engineer (CDPSE) course equips professionals with essential skills for privacy governance, architecture, and data lifecycle management.

Data Privacy Officers
Compliance Officers and Lawyers specializing in data privacy
Information Security Analysts
IT Managers and Consultants
Risk Assessment Professionals
Data Protection Managers
Cybersecurity Professionals
Systems and Network Administrators
Software Developers with a focus on privacy
Cloud Security Specialists
Data Governance and Quality Managers
Privacy and Security Architects
IT Auditors involved in privacy audits
Corporate Training Professionals specializing in privacy and compliance
Government Officials dealing with data protection regulations
HR Professionals overseeing employee data privacy
Marketing Managers who handle customer data
Product Managers incorporating privacy into product design
Business Analysts involved in data-sensitive projects

Learning Objectives - What you will Learn in this Certified Data Privacy Solutions Engineer-CDPSE?

Introduction: The Certified Data Privacy Solutions Engineer (CDPSE) course aims to equip learners with robust privacy governance, architecture, and data lifecycle management skills to ensure compliance and data protection.
Learning Objectives and Outcomes:

Understand and identify different types of personal data and information, and their significance in privacy governance.
Gain knowledge of global privacy laws, standards, and their application across various jurisdictions.
Learn to develop and implement privacy documentation such as policies and guidelines.
Comprehend legal requirements for data processing, including consent and legitimate interest.
Master the management of data subject rights and understand the responsibilities associated with various data-related roles.
Understand privacy training requirements and how to raise awareness within an organization.
Learn to manage privacy risks and conduct Privacy Impact Assessments (PIAs) effectively.
Acquire knowledge on privacy architecture, including technology stacks, cloud services, and system hardening.
Grasp the principles of secure development, including Privacy by Design, and learn to harden applications and software.
Manage the data lifecycle, ensuring data quality, minimization, retention, and secure destruction practices are in place.