Data Lineage & Ethical Frameworks for Responsible AI

Data Lineage & Ethical Frameworks for Responsible AI

This course is part of Modern Data Strategy for Enterprise Generative AI Specialization

Instructors: David Drummond

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Explain the role of traceable data lineage in AI reliability
Apply governance frameworks to manage ethical and regulatory risks.
Tag and trace AI-generated content using modern tools.
Design scalable governance strategies for enterprise AI applications.

Skills you'll gain

Details to know

Shareable certificate

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Assessments

9 assignments

Taught in English

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This course is part of the Modern Data Strategy for Enterprise Generative AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

As generative AI becomes deeply woven into enterprise workflows, the need for ethical, scalable, and trustworthy data practices has never been greater. This course dives into two foundational pillars of modern AI strategy: Traceable Data Lineage and Responsible AI Governance.

You’ll start by mastering data governance principles—learning how to build transparent systems using real-world frameworks. Then, explore the technical side of lineage: visualizing data pipelines, capturing metadata, and tracing data across its lifecycle with tools like OpenLineage. But governance isn’t just technical. You’ll tackle the ethical dimensions of AI—embedding responsibility into workflows, tagging AI-generated content with tools like SynthID, and aligning with global standards to ensure compliance and trust. Through hands-on labs, interactive demos, and expert-led case studies, you’ll gain practical skills to build traceable pipelines and design governance structures that support complex AI systems. Enroll today and lead the future of responsible AI. Enroll today!

Explore the core principles of data governance and ethical AI. Learn how frameworks like C2PA and tools like DuckLake help verify content authenticity and detect misinformation. Understand global governance perspectives and how to embed trust into AI systems.

What's included

8 videos3 readings3 assignments1 plugin

8 videosTotal 35 minutes

Course Introduction2 minutes
What is Data Governance4 minutes
Frameworks of Data Governance6 minutes
DuckLake for Data Governance3 minutes
Tagging AI-Generated Content 4 minutes
C2PA Explained: Digital Content Provenance 5 minutes
Misinformation Detection Usecase 4 minutes
Building trust in AI systems4 minutes

3 readingsTotal 17 minutes

Course syllabus5 minutes
Disclaimer2 minutes
World Economic Forum – AI Governance Framework10 minutes

3 assignmentsTotal 80 minutes

Governance Foundations and Content Authenticity30 minutes
Understanding Data Governance and Its Frameworks20 minutes
Content Integrity & Oversight30 minutes

1 pluginTotal 15 minutes

Executive Governance Strategy: Building Enterprise AI Accountability15 minutes

Dive into the architecture of data pipelines and learn how to build them with governance in mind. Use tools like OpenLineage to visualize, monitor, and trace data across its lifecycle—ensuring transparency and compliance.

What's included

6 videos1 reading3 assignments2 ungraded labs1 plugin

6 videosTotal 33 minutes

Introduction to Data Pipelines5 minutes
Building Governance into Data Pipelines3 minutes
Visualizing a Data Pipeline8 minutes
Visualizing Data Lineage5 minutes
Lineage as Pipeline Intelligence4 minutes
Implementing Data Lineage Tracking4 minutes

1 readingTotal 10 minutes

Importance of Data Pipelines10 minutes

3 assignmentsTotal 80 minutes

Data Pipelines and Lineage30 minutes
Designing and Governing Modern Data Pipelines20 minutes
Pipeline Tracking & Lineage30 minutes

2 ungraded labsTotal 90 minutes

Visualizing and Monitoring Data Flows45 minutes
Data Lineage Tracking45 minutes

1 pluginTotal 15 minutes

Building Governance Into Data Pipelines: From Design to Accountability15 minutes

Design AI systems that are both powerful and principled. Learn ethics-by-design workflows, governance automation, and advanced compliance strategies to future-proof your AI initiatives.