Lead AI Governance, Policy, and Continuous Compliance

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Lead AI Governance, Policy, and Continuous Compliance

Instructor: LearnQuest Network

Included with

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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

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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

Instructor

LearnQuest Network

LearnQuest

207 Courses991,982 learners

Offered by

LearnQuest

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