Lead AI Governance, Policy, and Continuous Compliance

Labor Day starts with $70+ in savings on Coursera Plus. Save 40% for 3 months.

Lead AI Governance, Policy, and Continuous Compliance

This course is part of Managing AI Systems: Development, Deployment, and Governance Specialization

Instructor: LearnQuest Network

Included with Learn more

Ask Coursera

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Design KPI frameworks to measure, benchmark, and continuously improve AI governance maturity across model iterations.
Build cross-functional governance coalitions that align engineering, legal, and compliance teams around accountable AI practices
Apply regulatory foresight and policy mapping to future-proof AI systems against evolving global standards and AI regulations.

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Managing AI Systems: Development, Deployment, and Governance 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

This course equips data scientists, ML engineers, and AI risk professionals with the strategic tools to sustain responsible AI programs at scale. You will build KPI frameworks to measure and benchmark governance maturity, design feedback loops that strengthen compliance over successive model iterations, and create executive-level dashboards that make governance performance visible to senior stakeholders.

You will also develop the collaboration skills to bridge engineering, legal, and compliance teams where you will be establishing shared accountability structures, ethics committees, and documentation workflows that embed responsible AI into your organization's culture. In the final module, you will apply regulatory foresight techniques to anticipate emerging standards across the EU AI Act, NIST RMF, and global jurisdictions, and build adaptive compliance policies that evolve with the landscape, not behind it. Learners with experience in ML, data science, or AI project management, and a working familiarity with compliance or risk concepts, will be best positioned to apply these frameworks immediately in their organizations.

Governance policies only prove their value when you can measure whether they work. In this module, you move from designing AI governance frameworks to quantifying their effectiveness. You will learn how to define key performance indicators that capture risk coverage, process adherence, and harm outcomes across your AI portfolio, then use maturity benchmarks drawn from frameworks like the NIST AI Risk Management Framework and ISO 42001 to validate policy performance against internal and external standards. You will also build structured feedback loops and monitoring dashboards that keep governance current as models, regulations, and business conditions change. By the end of this module, you will be able to design a governance measurement system that tracks, validates, and continuously improves responsible AI performance.

What's included

11 videos2 readings1 assignment

11 videosTotal 44 minutes

Welcome to Course 32 minutes
Measure and Validate Governance Effectiveness2 minutes
Spot the Dashboard That Measures Nothing About Governance3 minutes
Distinguish What Governance Metrics Actually Measure5 minutes
Build a Governance KPI Dashboard from Objectives to Indicators6 minutes
Prioritize Governance KPIs Where Regulatory Exposure Is Greatest5 minutes
Spot the Governance Program That Stopped Learning 3 minutes
Equip Your Governance System to Learn from Itself 6 minutes
Build the Feedback Loop from Monitoring Data to Governance Change 6 minutes
Diagnose Where Your Governance Feedback Loop is Broken 5 minutes
Module Summary1 minute

2 readingsTotal 20 minutes

Course Syllabus10 minutes
From Illusion to Insight: Measuring What Truly Matters in AI Governance10 minutes

1 assignmentTotal 10 minutes

Measure and Validate Governance Effectiveness10 minutes

This module equips you with the governance, accountability, and compliance skills needed to lead responsible AI programs in complex, regulated environments. You will explore how to define and measure governance performance through meaningful metrics and key performance indicators, build continuous improvement cycles that keep governance in step with evolving models and regulations, and construct cross-functional coalitions that align technical, legal, and business teams around shared accountability. You will also develop the regulatory foresight needed to adapt compliance policies across overlapping frameworks—including the EU AI Act, NIST AI Risk Management Framework, and ISO 42001—and learn to benchmark your organization's AI maturity against global standards. By the end of this module, you will be able to design defensible, audit-ready governance structures and translate regulatory obligations into actionable operational controls.

What's included

9 videos1 reading1 assignment

9 videosTotal 38 minutes

Cross-Functional Stewardship and Accountability4 minutes
The Governance Coalition Problem4 minutes
Equip Your Coalition with the Right Structural DNA5 minutes
Stand Up a Governance Coalition from Mandate to Operation6 minutes
Focus Your Coalition Where Coordination Failures Cost the Most5 minutes
Spot the Missing Name on Every Decision 3 minutes
Build the Accountability Architecture That Makes Governance Enforceable 3 minutes
Map Accountability from Scope Definition to Board-Level Reporting 5 minutes
Prioritize Accountability Where the Stakes Are Highest 4 minutes

1 readingTotal 10 minutes

Module Summary 10 minutes

1 assignmentTotal 10 minutes

Cross-Functional Stewardship and Accountability10 minutes

What's included

10 videos1 reading1 assignment

10 videosTotal 40 minutes

Future-Proof AI Governance2 minutes
Spot the Fire Drill Before It Spots You3 minutes
Build a Compliance System That Absorbs Change5 minutes
Run a Regulatory Horizon Scan and Update Your Controls5 minutes
Prioritize EU AI Act Readiness Across Overlapping Regimes4 minutes
Spot the Governance Patchwork Before It Unravels3 minutes
Distinguish the Layers That Make Cross-Framework Mapping Work5 minutes
Build a Cross-Framework Map and Maturity Benchmark6 minutes
Focus Your First Map Where the Stakes Are Highest6 minutes
End of Course1 minute

1 readingTotal 10 minutes

Stay Ahead of the Curve: Mastering Future-Proof AI Governance10 minutes

1 assignmentTotal 10 minutes

Future-Proof AI Governance: Quiz10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

LearnQuest Network

LearnQuest

217 Courses1,017,991 learners

Offered by

LearnQuest

Explore more from Support and Operations

Status: Free Trial
Coursera
Strategic AI Governance
Specialization
Status: Free Trial
Edureka
AI Governance & Regulation
Course
Status: Free Trial
Microsoft
Governance and Compliance Management
Course
Status: Free Trial
Board Infinity
AI Risk and Compliance: Audit and Governance Foundations
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Break down barriers to learning with big savings
Get Coursera Plus
Start with easy savings for hard-working teams
Save 30% today

Frequently asked questions

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.