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security Intermediate 21 lessons

Privacy Engineering

Build privacy by design. Implement technical controls for GDPR/CCPA, data anonymization, and differential privacy in software products.

Privacy is now an engineering requirement, not just legal compliance. This course teaches you to architect systems that protect user data by default. You will learn Data Mapping to track PII flow, implement Anonymization and Pseudonymization techniques, and understand Differential Privacy math. We cover handling Right to be Forgotten (RTBF) requests technically and managing consent within application databases. Essential for engineers in data-heavy or regulated industries.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Privacy Team
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Complete Course Syllabus

  • 1
    Privacy by Design
    Embedding privacy into the SDLC from day one.
  • 2
    Data Mapping
    Tracking PII flow through microservices and DBs.
  • 3
    Anonymization
    k-anonymity, l-diversity, and t-closeness explained.
  • 4
    Differential Privacy
    Adding noise to datasets to protect individuals.
  • 5
    User Rights Ops
    Automating deletion and export requests technically.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$110k - $150k

Career Paths

Privacy Engineer $120k-$170k
Data Governance Lead $110k-$150k
Compliance Architect $130k-$180k

What You Will Learn

Architect systems adhering to Privacy by Design principles
Implement data masking, k-anonymity, and differential privacy
Map data flows to identify PII exposure risks
Engineer automated responses for GDPR Subject Access Requests
Audit applications for privacy leaks and compliance gaps

Skills You Will Gain

Privacy Enhancing Tech Data Anonymization GDPR/CCPA Implementation Data Mapping Encryption

Who Is This For

Software Architects
Data Engineers
Compliance Officers

Prerequisites

Software Development
Database Basics

Privacy Engineering FAQs

Is this legal?

It is the technical implementation of legal requirements.

Math heavy?

Differential privacy involves stats, but tools help.

Compliance focus?

Yes, helps meet GDPR, CCPA, and CPRA standards.

Demand?

Growing rapidly as privacy laws expand globally.

Need more info?
All Reork courses are 100% free, self-paced, and fully accessible on mobile devices. No prior experience is required. Read our full Platform FAQ.

Tech Stack & Tools

OneTrust
Privacy Patterns
Data Masking Tools
SQL
Python

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