Certified Data Privacy Solutions Engineer (CDPSE)
Guaranteed to Run
Price
$2,995.00
Duration
3 Days
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
ESTDescription
Objectives
Prerequisites
Content
Course Description
The CDPSE certification validates privacy technologists’ ability to implement privacy by design solutions into new and existing networks, platforms and products, building customer and stakeholder trust and mitigating risks of noncompliance.
Course Objectives
- Understanding and implementing privacy governance.
- Privacy architecture.
- Data lifecycle management to protect data and ensure compliance
Who Should Attend?
IT Professionals who implement first line of defense in data breaches and provide technical privacy solutions including:
- Lead Software Engineer Data and System Privacy
- Domain Architect (Legal Care Compliance, Privacy)
- Security and Privacy Engineer
- Privacy Solutions Architect
- IT Project Manager
- Privacy Data Scientist
- Privacy Analyst
- Lead Privacy Manager
Course Prerequisites
Providing proof of at least three years of professional work experience in two or more CDPSE job practice areas (Privacy Governance Privacy Architecture, and/or Data Lifecycle) within the last 10 years.
Course Content
Module 1: Privacy Governance
Governance
- Personal Data and Information
- Privacy Laws and Standards across Jurisdictions
- Privacy Documentation
- Legal Purpose, Consent and Legitimate Interest
- Data Subject Rights
Management
- Roles and Responsibilities Related to Data
- Privacy Training and Awareness
- Vendor and Third-party Management
- Audit Process
- Privacy Incident Management
- Risk Management
- Risk Management Process
Module 2: Privacy Architecture
Infrastructure
- Cloud Computing
- Remote Access
- Endpoints
- System Hardening
- Secure Development Life Cycle
Applications and Software
- Application and Software Hardening
- APIs and Services
- Tracking Technologies
Technical Privacy Controls
- Communication and Transport Protocols
- Encryption, Hashing and De-identification
- Key Management
- Monitoring and Logging
- Identity and Access Management
Module 3: Data Lifecycle
Data Purpose
- Data Inventory and Classification
- Data Quality
- Data Flow and Usage Diagrams
- Data Use Limitation
- Data Analytics
Data Persistence
- Data Minimization
- Data Migration
- Data Storage
- Data Warehousing
- Data Retention and Archiving
- Data Destruction
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