Security & Governance 90 days 2-3 hours/day updated 2026-06-01

PrivacyOps 90-Day Learning Path

Master PrivacyOps in 90 days: GDPR, India DPDP Act, consent management, data classification, PIA/DPIA workflows, and privacy-by-design principles embedded in engineering pipelines.

What PrivacyOps means

PrivacyOps operationalizes data privacy compliance by treating GDPR, CCPA, India DPDP, and other regulations as engineering requirements. It covers data discovery and classification, consent lifecycle management, Data Protection Impact Assessments (DPIAs), data subject rights fulfillment, and privacy-by-design architecture patterns. The goal is to make privacy a measurable, automated, and continuously monitored property of systems.

Who should follow this path

Privacy engineers and data protection officers (DPOs)
Security engineers at companies handling personal data
Backend engineers working on data pipelines and user data
Legal/compliance professionals learning technical implementation
Product managers at companies under GDPR or DPDP scope

Prerequisites

Basic understanding of GDPR or another privacy regulation
Familiarity with databases and data flows
Some cloud platform experience (AWS or GCP)
Basic Python or SQL skills
Understanding of REST APIs and data architecture

The 90-day plan

Daily study recommendation: 2-3 hours/day, six days a week. Consistency beats intensity — block the time in your calendar like a meeting.

Days 1–15: Foundation

GDPR key principles: lawfulness, purpose limitation, data minimization
India Digital Personal Data Protection Act (DPDP) 2023 overview
CCPA and global privacy regulation landscape
Data subject rights: access, erasure, portability, rectification
Roles: data controller, data processor, DPO responsibilities

Outcome: Articulate the requirements of GDPR, India DPDP, and CCPA and map them to engineering controls.

Days 16–30: Core concepts

Data discovery and classification tools (BigID, Informatica)
Personal data inventory and records of processing activities (RoPA)
Data flow mapping and data lineage
Sensitive data tagging and labeling in cloud storage
AWS Macie and Google Cloud DLP for automated discovery

Outcome: Build a complete personal data inventory and data flow map for a multi-service application.

Days 31–45: Tools and workflows

Consent management platforms (OneTrust, Cookiebot)
Consent lifecycle: collection, storage, withdrawal, audit
Cookie compliance and TCF 2.0
Preference center design and implementation
Double opt-in and consent record management

Outcome: Implement a consent management solution meeting GDPR and DPDP requirements.

Days 46–60: Hands-on projects

Privacy Impact Assessment (PIA) and DPIA methodology
Privacy by design architecture principles
Pseudonymization and anonymization techniques
Encryption standards for personal data at rest and in transit
Data retention and automated deletion pipelines

Outcome: Conduct a DPIA for a new product feature and implement technical privacy controls.

Days 61–75: Advanced practices

Data subject access request (DSAR) fulfillment automation
Right to erasure implementation in distributed systems
Data breach notification requirements and workflows
Cross-border data transfer mechanisms (SCCs, adequacy decisions)
Vendor DPA (Data Processing Agreement) management

Outcome: Build automated DSAR fulfillment workflows and data breach response procedures.

Days 76–90: Portfolio, interview & certification prep

Privacy engineering portfolio project
CIPP/E exam preparation (IAPP)
PrivacyOps interview questions
Privacy metrics: DSAR SLAs, consent rates, data breach KPIs
Emerging topics: AI privacy, synthetic data, differential privacy

Outcome: Complete a privacy engineering portfolio project and prepare for CIPP/E certification.

Weekly outcomes at a glance

Phase	Outcome
Days 1–15	Articulate the requirements of GDPR, India DPDP, and CCPA and map them to engineering controls.
Days 16–30	Build a complete personal data inventory and data flow map for a multi-service application.
Days 31–45	Implement a consent management solution meeting GDPR and DPDP requirements.
Days 46–60	Conduct a DPIA for a new product feature and implement technical privacy controls.
Days 61–75	Build automated DSAR fulfillment workflows and data breach response procedures.
Days 76–90	Complete a privacy engineering portfolio project and prepare for CIPP/E certification.

Tools to learn

OneTrust
BigID
AWS Macie
Google Cloud DLP
Cookiebot
DataGrail
Informatica Data Privacy
Privitar
HashiCorp Vault
Apache Atlas

Labs to practice

Mini projects

Build an automated DSAR fulfillment system that queries multiple databases and produces a subject data package
Implement a GDPR-compliant consent management system with audit log and withdrawal support
Create a data classification pipeline using AWS Macie that auto-tags S3 objects and triggers deletion workflows

Interview questions to prepare

What is the difference between a Privacy Impact Assessment and a DPIA?
How do you implement the right to erasure in a distributed microservices architecture?
Explain GDPR lawful bases for processing personal data.
What is the India DPDP Act and how does it differ from GDPR?
How would you build an automated DSAR fulfillment pipeline?
What technical controls satisfy GDPR data minimization requirements?
How do you handle cross-border data transfers under GDPR?
What is differential privacy and when would you use it?

Certification suggestions

CIPP/E — IAPP
CIPM — IAPP
CIPP/US — IAPP
OneTrust Certified Privacy Professional — OneTrust

Browse the full certification registry for exam details and official links.

Free resources

// instructor-led option

Prefer live, guided training with mentors and certification support? DevOpsSchool.com runs paid instructor-led programs that pair well with this free path.

Explore paid training on DevOpsSchool.com ↗