
Gain practical skills to design, implement, and manage privacy programs as a CDPSE, applying privacy laws in real-world scenarios and aligning with business and regulatory needs.
Learn the three fundamental privacy principles—data minimization, purpose limitation, and accountability—and how GDPR, CcpA, and ISO 27701 guide responsible handling of personal data to reduce risk and build trust.
Explore global privacy regulations, including the General Data Protection Regulation, the California Consumer Privacy Act, and Brazil's LGPD, and learn rights to access, deletion, data portability, and consent.
Explore how a privacy solutions engineer embeds privacy by design, conducts privacy impact assessments, and manages data lifecycle and consent, collaborating with legal, it, and leadership to ensure compliant privacy.
Explore ISO 27701 as an extension to ISO 27001 for privacy governance, detailing roles, policies, risk controls, audits, and how it compares with the NIST privacy framework and Cobit.
Explore how privacy by design embeds data protection into technology, processes, and lifecycle, making privacy the default, ensuring end-to-end security, transparency, and user control.
Engage legal, IT, and business teams early to align privacy policies with GDPR, CcpA, and Lgpd, embed privacy into technology, and build a privacy-first culture that boosts trust and outcomes.
Develop clear privacy policies aligned with GDPR, CCPA, and LGPD, covering data collection, processing purposes, legal bases, sharing, user rights, and security; implement, train, and audit for ongoing compliance.
Foster a privacy-first mindset by training all employees on privacy principles and GDPR, CcpA, and HIPAA. Provide ongoing, bite-sized, role-based training on data handling, incident reporting, and recognizing personal data.
Conduct a structured privacy audit to assess data collection, processing, storage, and third-party handling against GDPR, CcpA, and HIPAA, using established frameworks to fix gaps.
Learn to build a comprehensive data inventory and map data flows across the organization, identifying personal data, storage, processing, sharing, retention, and security risks for GDPR and CCPA compliance.
Define consent as voluntary, informed, unambiguous agreement for data collection, with the right to withdraw, and note GDPR, CCPA, and LGPD require explicit consent and forbid pre-checked boxes.
Explore data subject rights under privacy laws, including GDPR and CcpA, focusing on access, rectification, and deletion, with timelines and verification to empower individuals to control their personal data.
Understand why data storage security matters for data at rest and in transit, and how encryption protects against unauthorized access. Learn AES-256, TLS, VPN, and GDPR compliance.
Explore cross-border data transfers and how to protect personal data across borders using SCCs, binding corporate rules, adequacy decisions, and consent-based transfers under GDPR and global privacy laws.
Define data retention policies by identifying data categories, setting retention periods, and documenting legal justifications; align storage locations and secure disposal with GDPR, CcpA, HIPAA.
Explore privacy risk assessment methodologies, covering data asset discovery, risk identification and evaluation, mitigation, and ongoing monitoring, and compare qualitative and quantitative approaches and their trade-offs.
Conduct a data protection impact assessment (DPIA) to identify, assess, and mitigate privacy risks in high-risk data processing, ensuring GDPR and CcpA compliance and transparent data handling.
Develop and implement a six-phase incident response plan: preparation, detection, containment, eradication, recovery, and lessons learned, to detect, contain, and recover from breaches while meeting GDPR, CcpA, and HIPAA requirements.
Assess vendor privacy risks and implement a structured third-party risk management program to protect data under GDPR and DPA. Monitor onboarding, encryption, access controls, breach response, and ongoing compliance.
Implement privacy metrics and monitoring by tracking KPIs for regulatory compliance, data protection, and incident management to demonstrate GDPR and CcpA compliance and drive improvements.
Compare anonymisation and pseudonymisation: anonymisation removes identifiers to prevent reidentification, using masking, generalisation, normalization, and aggregation, while pseudonymisation uses random identifiers, encryption, hashing, or tokenization to allow reidentification under GDPR.
Explore how ai and data analytics enable fast decisions while highlighting privacy risks. Discuss data minimization, informed consent, transparency, bias, and GDPR and CCPA compliance for privacy by design.
Explore cloud privacy concepts, the shared responsibility model, and privacy risks across public, private, and hybrid clouds, including data residency, encryption, and access controls.
examine how the internet of things collects real-time data from smart devices and industrial sensors, highlighting privacy challenges and solutions like privacy by design and granular consent.
Explore the GDPR framework, its privacy protections, and the penalties for non-compliance. Examine cross-border data transfer, consent mechanisms for personalized advertising, and robust security practices to prevent breaches.
Explore how Web3 and the metaverse reshape privacy, detailing decentralized identity, zero-knowledge proofs, selective disclosure, and privacy-preserving tech to balance control with risks.
Explore how evolving privacy regulation shapes practice, from the eu ai act to us federal laws, with risk-based ai governance, transparency, and cross-border data transfers.
|| Unofficial Course ||
This course is not officially affiliated with ISACA or the CDPSE certification body, but it is designed to provide comprehensive training aligned with the Certified Data Privacy Solutions Engineer (CDPSE) domains. The content is based on industry best practices, global privacy regulations, and real-world case studies to help professionals build expertise in privacy governance, data lifecycle management, and risk mitigation.
While completing this course does not grant CDPSE certification, it serves as a valuable resource for those preparing for the exam or looking to enhance their privacy engineering and compliance skills.
This course is designed to provide a comprehensive understanding of the Certified Data Privacy Solutions Engineer (CDPSE) certification, its significance in the industry, and the core privacy principles necessary for professionals navigating today’s data protection landscape. Participants will explore key privacy concepts such as data minimization, purpose limitation, and accountability, as well as an in-depth comparison of global privacy regulations, including GDPR, CCPA, and LGPD. The course also highlights the role and responsibilities of a Privacy Solutions Engineer, covering the essential skills and ethical considerations required for success in this field.
A strong focus is placed on privacy governance, where participants will learn about leading frameworks such as ISO 27701, the NIST Privacy Framework, and COBIT. The course emphasizes Privacy by Design (PbD), ensuring that privacy considerations are embedded into systems and processes from the start. Participants will also develop skills in stakeholder engagement, privacy policy creation, and awareness training to help organizations build a privacy-conscious culture. Additionally, the course covers privacy audits and assessments, equipping learners with methodologies to ensure compliance with evolving regulations.
Understanding how to manage data throughout its lifecycle is essential for privacy professionals. This course provides a structured approach to data inventory and mapping, helping professionals track data flows and identify potential privacy risks. Participants will gain knowledge on consent management, data subject rights (DSRs), and data storage and encryption to ensure data is handled securely. The course also examines cross-border data transfer mechanisms, such as Standard Contractual Clauses (SCCs) and Binding Corporate Rules (BCRs), and explains best practices for data retention and secure disposal.
Effective privacy risk management is a crucial competency for privacy engineers. This course covers various risk assessment methodologies, including qualitative and quantitative approaches, and provides step-by-step guidance on conducting Data Protection Impact Assessments (DPIAs) for high-risk processing activities. Participants will also learn how to develop and implement a privacy incident response plan to handle data breaches effectively. Additional topics include third-party risk management, vendor evaluations, and drafting Data Processing Agreements (DPAs). The course also introduces privacy metrics and monitoring tools, allowing organizations to measure the success of their privacy programs.
With the increasing adoption of privacy-enhancing technologies (PETs), professionals need to understand how to implement solutions that protect personal data while enabling business operations. This course explores anonymization and pseudonymization techniques, ensuring organizations can reduce risk while maintaining data utility. It also examines AI’s role in privacy, including the challenges of algorithmic bias and compliance with emerging AI regulations. Learners will gain insights into privacy risks in cloud environments, shared responsibility models, and strategies for securing IoT ecosystems where data collection is pervasive.
To bridge theory with real-world application, this course includes case studies and practical scenarios. Participants will analyze high-profile GDPR enforcement cases, such as fines against Meta and Google, to understand regulatory expectations and best practices for compliance. A deep dive into healthcare data breaches will provide strategies for mitigating risks in HIPAA-covered environments, ensuring the protection of sensitive health information.
Finally, the course explores emerging privacy trends, preparing participants for the future of data protection. Topics include privacy challenges in the Metaverse and Web3, decentralized identity management, and evolving regulatory frameworks such as the EU AI Act and potential U.S. federal privacy laws. These insights will equip professionals with the knowledge needed to anticipate and adapt to future compliance requirements.
By the end of this course, participants will have the skills and expertise necessary to design, implement, and manage robust privacy programs, making them valuable assets in organizations that prioritize data protection and compliance.
Whether preparing for the CDPSE certification exam or enhancing privacy engineering skills, this course serves as a comprehensive guide for privacy professionals navigating an increasingly complex regulatory landscape.
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