Skills4Good AI Academy:
Data Privacy Fundamentals

Level 200 - Data Privacy
Course 201

This course is part of Level 200 of the 4-Level Responsible AI Literacy Model. To access this course and others in the model, join a Skills4Good AI membership designed to build Responsible AI fluency at every level.

Skills4Good AI Data Privacy Fundamentals

Data Privacy Fundamentals

Level 200 • Course 201

Data Privacy Fundamentals

Skills4Good AI Data Privacy Fundamentals

Overview

Advance your understanding of data privacy with this course. It is designed to equip professionals with the knowledge to protect personal information and ensure compliance with confidence. Ideal for professionals across various industries, it unpacks the complexities of data privacy principles, ethical implications, and practical applications. It offers essential insights to safeguard personal data and uphold best practices in the data-driven economy.

What You’ll Learn

  • Foundations of Data Privacy

    Foundations of Data Privacy

    Dive into the basics of data privacy, its importance, and the difference between privacy and security.

  • Data Management Lifecycle

    Data Management Lifecycle

    Understand the journey of personal data from collection to deletion, emphasizing responsible handling at every stage.

  • Compliance Strategies

    Compliance Strategies

    Learn essential compliance tips for small to medium businesses, including appointing a privacy lead and understanding legal obligations.

Course Outline

Lesson 1: What is Data Privacy
Lesson 2: Four Types of Privacy
Lesson 3: Why Data Privacy Matters
Lesson 4: Privacy vs Security
Lesson 5: What Is Personal Data
Lesson 6: What Is Sensitive Personal Data
Lesson 7: Identifiability of Personal Data
Lesson 8: Data Lifecycle
Lesson 9: Data Lifecycle is Context-Specific
Lesson 10: Data Collection
Lesson 11: Data Usage
Lesson 12: Data Storage
Lesson 13: Data Sharing
Lesson 14: Data Archiving
Lesson 15: Data Deletion

Why These Skills Are Essential

  • Build Trust

    Build Trust

    In an era where data breaches can erode consumer trust, knowledge of data privacy builds confidence among stakeholders.

  • Ensure Compliance

    Ensure Compliance

    Stay ahead of regulatory requirements, avoiding costly penalties and enhancing your organization’s reputation.

  • Drive Innovation

    Drive Innovation

    Implement Privacy by Design principles to innovate responsibly, embedding data privacy into your projects from the start.

Next Steps

Nest Steps

You’ve just explored one course in our global 4-Level Responsible AI Literacy Model.

Ready to go further?

Discover the full learning journey - from foundational skills to certified leadership - and find the membership that fits your goals.

Stay Ahead in the Age of Responsible AI