Certified Data Protection Officer

Course Description

Duration 5 days – 35 hrs

Overview

This Certified Data Protection Officer (CDPO) training provides a practical, end-to-end understanding of how to design, implement, and continuously improve an organization’s privacy and data protection program. Participants learn the key principles of data protection, common regulatory requirements and expectations, governance and accountability structures, risk-based controls, incident/breach readiness, vendor and cross-border data management, and how to operate effectively as a Data Protection Officer (or equivalent privacy lead). The course is designed to be applicable across industries and adaptable to local laws and regulators.

Objectives

Explain core data protection principles (lawfulness, fairness, transparency, purpose limitation, minimization, accuracy, retention, security, accountability).
Map personal data processing activities and establish Records of Processing/Processing Inventories.
Build a privacy governance framework (policies, roles, controls, metrics, reporting).
Conduct privacy risk assessments and implement privacy-by-design and default controls.
Operationalize key data subject rights processes (intake, validation, timelines, documentation).
Define and manage lawful bases/grounds for processing and consent lifecycle management.
Set up breach and incident response readiness, including notification decisioning and documentation.
Manage third parties (processors/vendors) through due diligence, DPAs, and monitoring.
Handle cross-border data transfers and data localization considerations (general approach).
Create a practical compliance roadmap aligned with business priorities and audit expectations.

Audience

Appointed / aspiring Data Protection Officers (DPOs) or Privacy Officers
Compliance, Legal, Risk, Audit, Governance professionals
Information Security, IT Operations, Data Governance, and Data Management leads
HR, Marketing, Customer Service, Operations managers who handle personal data
Project Managers / Product Owners implementing data-driven initiatives
Vendor Management / Procurement professionals involved in outsourcing

Prerequisites

Basic understanding of organizational processes and information handling

Familiarity with common IT and security concepts is helpful (but not required)

Recommended: participants bring a high-level view of their organization’s data flows, systems, and vendors (if available)

Course Content

Day 1 — Foundations, Accountability, and Privacy Governance

Module 1: Data Protection Fundamentals

Personal data vs sensitive/special categories (general definitions)
Controllers vs processors (and equivalents)
Data lifecycle and common processing scenarios

Module 2: Principles and Compliance Obligations

Core privacy principles and accountability
Transparency requirements and privacy notices
Purpose limitation, minimization, retention, and documentation

Module 3: Role of the DPO / Privacy Lead

Independence, reporting lines, conflicts of interest
DPO responsibilities, advisory vs ownership boundaries
Building stakeholder trust and operating model

Module 4: Privacy Governance Program Setup

Policies and standards: privacy policy, retention, incident response, vendor management
Governance structures: committees, RACI, escalation paths
Training and awareness program design
Metrics/KPIs and management reporting

Workshop 1

Define your DPO charter + governance map (roles, reporting, and key controls)

Day 2 — Data Mapping, Risk Management, and Privacy by Design

Module 5: Data Mapping and Processing Inventories

Data mapping techniques and scoping
Records of Processing / processing inventory structure
Data classification and ownership
Identifying high-risk processing and gaps

Module 6: Lawful Grounds and Consent Management

Lawful basis/grounds (general framework)
Consent: design, capture, proof, withdrawal, audit trail
Legitimate interests/balancing (general approach)
Children’s data and marketing considerations (general)

Module 7: Privacy Risk Assessments and DPIA/PIA

When to conduct a DPIA/PIA (triggers and thresholds)
Risk assessment methodology and scoring
Selecting controls: organizational, technical, contractual
Documenting decisions and residual risk acceptance

Module 8: Privacy by Design and Default

Embedding privacy into SDLC / change management
Common design patterns: minimization, pseudonymization, access controls
Data sharing design, logging, and monitoring
Coordination with security and enterprise architecture

Workshop 2

Run a mini DPIA/PIA on a sample system (or your own use-case)

Day 3 — Operations: Rights, Incidents, Vendors, and Continuous Compliance

Module 9: Data Subject Rights Operations

Common rights requests (access, correction, deletion, objection, portability—general set)
Intake channels, identity verification, timelines, exemptions (general)
Case management workflow and evidence trail
Handling complex cases (employees, customers, investigations)

Module 10: Security, Breach Readiness, and Incident Response