March 30, 2026
Data privacy is more than just a legal requirement; it is a global responsibility. As we handle increasing amounts of personal information, understanding how to manage that data with integrity—from the moment it’s collected to the day it’s deleted—is essential for maintaining trust and staying compliant with international standards.
The Global Data Privacy V3 course provides a comprehensive look at the principles and frameworks that govern data worldwide, including the EU's GDPR and Fair Information Practice Principles (FIPPs). By taking this course, you will gain practical habits for managing personal information, understanding individual data rights, and navigating modern challenges like AI privacy risks. This training ensures you have the knowledge to protect the people behind the data and the reputation of our organization, no matter where in the world you work.
What's New?
The transition from Global Data Privacy version 2.2 to version 3 reflects a modernization of data ethics, moving beyond static compliance to address the rapid integration of Artificial Intelligence and a more complex global regulatory landscape.
1. Structural Efficiency
Version 3 expands the curriculum to provide more granular focus on the data lifecycle and emerging technologies while maintaining a logical, progressive flow.
Expanded Module Count: The course has grown from 9 lessons to 11, introducing entirely new strategic areas for AI and Privacy and The Global Privacy Landscape.
Segmented Data Management: While version 2.2 grouped overarching principles into a single lesson, version 3 breaks these down into dedicated modules for Lawful Basis/Consent and The Information Lifecycle to ensure learners understand the journey of data from collection to deletion.
Technical Deep-Dives: Version 3 introduces a specific lesson on Individual Rights (DSARs), providing a more robust framework for handling requests like the "Right to be Forgotten" compared to the general overviews in v2.2.
2. Video Scenarios
The video content has shifted from "office mishaps" to "strategic risk management" and modern tech dilemmas.
Modern Feature Integration: A new video scenario, "Building Privacy In," demonstrates a team discussing a "Local Eats" app. It focuses on catching privacy questions early in the design phase (Privacy by Design) rather than just reacting to finished products.
Data Minimization: The new "Less Data and More Protection" video features a design meeting for a tracking tool where a manager (Maya) actively pushes back against collecting unnecessary PII like physical addresses.
Shadow AI Risks: A critical new scenario, "Data Dump," highlights the danger of an employee (Michelle) putting sensitive client contract data into an unvetted AI tool to save time, illustrating the modern risk of data leakage.
Consistent Core Relatability: The course retains the "Auction" and "Hotel Check-in" videos to ground learners in the visceral feeling of having their private medical or financial data exposed.
3. Content & Terminology Shifts
Version 3 introduces sophisticated terminology that reflects the 2025–2026 legal and technological landscape.
Rise of AI Governance: The most significant shift is the introduction of "Shadow AI" (unapproved AI tools) and the EU AI Act, teaching employees that entering data into chatbots can constitute a data breach.
Privacy by Design (PbD): Moving beyond simple "data security," v3 emphasizes Privacy by Design and Privacy Impact Assessments (PIA) as standard operational requirements.
Expanded Regulatory Map: Version 3 provides much deeper context on the China PIPL, India DPDPA (2023), and the US-EU Data Privacy Framework, reflecting the most recent shifts in global data transfer legality.
Refined Roles: Introduces clearer definitions of Data Controller (determining the "why") versus Data Processor (handling the "how"), helping employees understand where primary legal accountability lies.
Modernized "Value": Expands the understanding of data value to include Biometric Data, NFTs, and Geolocation, moving away from a focus on just names and social security numbers.
This Course Teaches:
- The basics of data privacy and why it matters.
- The sources of data privacy rules, including employer policies, contracts, U.S. law and laws in the European Union.
- What Fair Information Protection Practices (“FIPPs”) are and the role they play in the U.S. and around the globe.
- What the European Union’s General Data Protection Regulation is, who it applies to and what it requires.
- Best practices for collecting, using, and managing personal information.
Resources
If you have an LMS-connected account, you can download the SCORM file for the Global Data Privacy course. For more information, please refer to the Global Data Privacy content article for additional information.