Certified Data Privacy Solutions Engineer-CDPSE Course Overview

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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1,800 (USD)
  • Live Training (Duration : 32 Hours)
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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 ComponentDetails
Exam NameCertified Data Privacy Solutions Engineer (CDPSE) Exam
Exam TypeMultiple Choice Questions (MCQs)
Total QuestionsApproximately 120
Passing Score450 out of 800
Exam Duration210 minutes
LanguageEnglish
Exam ProviderISACA
Exam RegistrationThrough ISACA's official certification website or authorized testing centers
Certification Validity3 years (can be renewed through Continuing Professional Education credits)
Recommended TrainingISACA offers CDPSE Review Courses and other self-study materials

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?

  1. 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.

  2. 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.

Technical Topic Explanation

Cloud services

Cloud services refer to the delivery of various computing resources via the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software. Instead of owning their physical infrastructures or data centers, companies can access and use these services on demand from a cloud service provider, paying only for what they use. This model offers flexibility, scalability, and cost-efficiency, streamlining operations by eliminating the need for significant hardware investments and maintenance. Cloud services are essential for enabling businesses to focus more on their core functions without the hassle of managing IT infrastructure.

System hardening

System hardening is the process of enhancing security on computers and servers by reducing vulnerabilities in software and hardware. It involves updating systems, removing unnecessary functions, applications, and services to prevent attacks. Regular audits, strict user access controls, and the use of barriers like firewalls and antivirus software are typical steps. System hardening helps in securing systems from unauthorized changes and breaches, thus forming an essential task in maintaining the integrity and confidentiality of technology infrastructure. This proactive security practice is crucial for preventing potential security threats from exploiting system weaknesses.

Data governance

Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Effective data governance ensures that data is consistent and trustworthy and doesn't get misused. It involves setting internal guidelines on data access and its appropriate use. By strengthening these practices, organizations enhance their quality of data and support their strategic initiatives, making operations more efficient and helping to comply with regulations regarding data privacy and protection.

Data protection

Data protection involves safeguarding important information from compromise, loss, or corruption. It ensures data privacy and security, critical for maintaining trust and complying with regulations. For professionals aiming to specialize in this field, earning a CDPSE (Certified Data Privacy Solutions Engineer) certification can be a significant step. The CDPSE cert underscores proficiency in implementing data privacy solutions and managing data lifecycle. CDPSE training equips individuals with the necessary skills to effectively protect sensitive information within an organization, adapting measures like encryption, secure data storage, and comprehensive data governance policies.

Secure technology stacks

Secure technology stacks are integrated collections of software and hardware components that work together to protect digital platforms. These stacks include defensive mechanisms like firewalls, encryption tools, intrusion detection systems, and data privacy solutions. They are designed to secure applications from external threats and internal vulnerabilities throughout the development and deployment phases. Proper training in secure technology stacks, such as CDPSE certification, equips data privacy solutions engineers with the skills necessary to implement robust security frameworks effectively and ensure systems are resistant to unauthorized access and data breaches.

Privacy-focused development practices

Privacy-focused development practices are approaches in software creation that prioritize user privacy and data protection from the start. These methods involve embedding privacy into the product design, adhering to strict data security standards, and regularly updating privacy measures. Developers and engineers are trained in privacy principles, often achieving certifications like CDPSE (Certified Data Privacy Solutions Engineer) to validate their skills. These practices ensure that personal data handled by software is collected, stored, and processed legally and ethically, building trust and compliance with global data protection regulations.

Encryption

Encryption is a security process that translates data into a coded form, or ciphertext, so that only authorized parties can access it. This transformation is enabled by using algorithms and cryptographic keys. The primary aim of encryption is to protect digital data confidentiality as it is stored on computer systems and transmitted using the internet or other computer networks. Businesses and individuals use encryption to safeguard sensitive information from hackers and cyber-threats, ensuring privacy and maintaining the integrity and security of their data and communications.

Identity management

Identity management refers to the processes and technologies that recognize, authenticate, and authorize individuals or groups to access applications, systems, or networks by associating user rights and restrictions with established identities. It ensures that the right individuals access the right resources at the right times for the right reasons, enhancing security and compliance while reducing risk across the organization. Effective identity management helps in preventing unauthorized access and data breaches, making it crucial for organizations to maintain operational integrity and protect sensitive information.

Monitoring

Monitoring in a technical context refers to the continuous observation and evaluation of a system's operations to ensure it performs optimally and securely. This involves tracking and analyzing the performance, health, and availability of computer hardware, software, and network resources. Effective monitoring helps in detecting anomalies, managing system capacities, and resolving issues proactively to minimize downtime and maintain productivity. It is critical in identifying security threats and ensuring data integrity, ultimately supporting overall organizational efficiency and successful administration of IT infrastructure.

Data destruction

Data destruction involves securely and permanently eliminating data stored on electronic media, ensuring that it cannot be recovered or accessed. This process is essential for protecting sensitive information from unauthorized access and maintaining data privacy. Methods of data destruction include physical destruction, degaussing, and overwriting data with software tools. Proper data destruction prevents data breaches and complies with legal and regulatory requirements, safeguarding both personal and business data integrity.

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?

  1. 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.

  2. 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.
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