Lead AI Governance, Policy, and Continuous Compliance
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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
- Compliance Management
- Law, Regulation, and Compliance
- Key Performance Indicators (KPIs)
- Team Oriented
- Accountability Frameworks
- Governance Risk Management and Compliance
- Data Ethics
- Responsible AI
- Cross-Functional Team Leadership
- Governance
- Compliance Reporting
- Accountability
- Performance Metric
- Cross-Functional Collaboration
- Dashboard Creation
- Regulatory Compliance
- Regulatory Requirements
- Performance Measurement
- Continuous Monitoring
Tools you'll learn
Details to know
May 2026
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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 videos•Total 44 minutes
- Welcome to Course 3•2 minutes
- Measure and Validate Governance Effectiveness•2 minutes
- Spot the Dashboard That Measures Nothing About Governance•3 minutes
- Distinguish What Governance Metrics Actually Measure•5 minutes
- Build a Governance KPI Dashboard from Objectives to Indicators•6 minutes
- Prioritize Governance KPIs Where Regulatory Exposure Is Greatest•5 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 Summary•1 minute
2 readings•Total 20 minutes
- Course Syllabus•10 minutes
- From Illusion to Insight: Measuring What Truly Matters in AI Governance•10 minutes
1 assignment•Total 10 minutes
- Measure and Validate Governance Effectiveness•10 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 videos•Total 38 minutes
- Cross-Functional Stewardship and Accountability•4 minutes
- The Governance Coalition Problem•4 minutes
- Equip Your Coalition with the Right Structural DNA•5 minutes
- Stand Up a Governance Coalition from Mandate to Operation•6 minutes
- Focus Your Coalition Where Coordination Failures Cost the Most•5 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 reading•Total 10 minutes
- Module Summary •10 minutes
1 assignment•Total 10 minutes
- Cross-Functional Stewardship and Accountability•10 minutes
What's included
10 videos1 reading1 assignment
10 videos•Total 40 minutes
- Future-Proof AI Governance•2 minutes
- Spot the Fire Drill Before It Spots You•3 minutes
- Build a Compliance System That Absorbs Change•5 minutes
- Run a Regulatory Horizon Scan and Update Your Controls•5 minutes
- Prioritize EU AI Act Readiness Across Overlapping Regimes•4 minutes
- Spot the Governance Patchwork Before It Unravels•3 minutes
- Distinguish the Layers That Make Cross-Framework Mapping Work•5 minutes
- Build a Cross-Framework Map and Maturity Benchmark•6 minutes
- Focus Your First Map Where the Stakes Are Highest•6 minutes
- End of Course•1 minute
1 reading•Total 10 minutes
- Stay Ahead of the Curve: Mastering Future-Proof AI Governance•10 minutes
1 assignment•Total 10 minutes
- Future-Proof AI Governance: Quiz•10 minutes
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