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