CDPSE—Certified Data Privacy Solutions Engineer

This Certified Data Privacy Solutions Engineer CDPSE course is the first experience-based, technical certification of its kind. Learning to design and boost privacy technology platforms and products will provide advantages to your customers build trust and advance data privacy

In this Data Privacy Solutions Engineer course, participants will be learning how to create privacy solutions and be responsible for your business’ privacy strategies to support its unimpeached growth.

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Course KeyLearning:

• Ability to Build and Implement Privacy Solutions
• Ability to manage the data lifecycle and advise technologists on privacy compliance
• Ability to implement privacy by design which results in privacy technology platforms and products that build trust and advance data privacy.
• Ensure that privacy solutions match the organization’s risk appetite and mitigate risks of noncompliance
• Improve the end user experience while preserving privacy and retaining trust.

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Course Outline:

Module 1: Privacy Governance

Section A: Governance

• Module 1: Personal Data and Information
• Module 2: Privacy Laws and Standards across Jurisdictions
• Module 3: Privacy Documentation (eg, Policies, Guidelines)
• Module 4: Legal Purpose, Consent, and Legitimate Interest
• Module 5: Data Subject Rights

Section B: Management

• Module 1: Roles and Responsibilities related to Data
• Module 2: Privacy Training and Awareness
• Module 3: Vendor and Third-Party Management
• Module 4: Audit Process
• Module 5: Privacy Incident Management

Section C: Risk Management

• Module 1: Risk Management Process
• Module 2: Privacy Impact Assessment (PIA)
• Module 3: Threats, Attacks, and Vulnerabilities related to Privacy

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Module2: Privacy Architecture

Section A: Infrastructure

• Module 1: Technology Stacks
• Module 2: Cloud-based Services
• Module 3: Endpoints
• Module 4: Remote Access
• Module 5: System Hardening

Section B: Applications and Software

• Module 1: Secure Development Lifecycle (eg, Privacy by Design)
• Module 2: Applications and Software Hardening
• Module 3: APIs and Services
• Module 4: Tracking Technologies

Section C: Technical Privacy Controls

• Module 1: Communication and Transport Protocols
• Module 2: Encryption, Hashing, and De-identification
• Module 3: Key Management
• Module 4: Monitoring and Logging
• Module 5: Identity and Access Management

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Module 3: Data Cycle

Section A: Data Purpose

• Module 1: Data Inventory and Classification (eg, Tagging, Tracking, SOR)
• Module 2: Data Quality and Accuracy
• Module 3: Dataflow and Usage Diagrams
• Module 4: Data Use Limitation
• Module 5: Data Analytics (eg, Aggregation, AI, Machine Learning, Big Data)

Section B: Data Persistence

• Module 1: Data Minimization (eg, De-identification, Anonymisation)
• Module 2: Data Migration
• Module 3: Data Storage
• Module 4: Data Warehousing (eg, Data Lake)
• Module 5: Data Retention and Archiving
• Module 6: Data Destruction

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