AI Governance Track · Governance · Responsible AI · Leadership

AI Governance & Responsible AI

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A complete AI governance and responsible-AI certification program - 559 chapters across six phases, from literacy to mastery, for the leaders who own AI risk.

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6
Phases
559
Chapters
Cert
program
Board-ready
Capstones
About the course

What it covers and how it works

A comprehensive, self-paced certification program that builds the complete AI governance practitioner - from first principles to frontier practice. It spans six phases and 559 chapters: AI governance literacy, the rulebook of laws and frameworks, the controls that manage AI risk across the lifecycle, the operations that run governance at scale, the leadership that influences the enterprise, and the mastery topics of the complete practitioner.

The six phases move from literacy, through the rulebook of laws and frameworks and the controls that manage AI risk, into the operations and leadership of running the function - ending in the frontier topics of the complete practitioner.

Who it's for

The leaders who own AI risk

AI governance leads, chief-data and AI-risk officers, model-risk and compliance leaders, and the practitioners building the governance function. It scales from literacy for newcomers to mastery for those leading the enterprise practice.

Frameworks covered

Mapped to real regulation

The program operationalizes the EU AI Act, NIST AI RMF, ISO 42001, and sector rules, teaching the crosswalk technique that satisfies many regimes with one defensible control set - turning fragmentation into a single board-ready posture.

Curriculum

6 phases · 559 chapters

Numbering is global and continuous across the whole program. Each phase builds on the last, from literacy to mastery. Expand any phase for its scope and representative chapters.

P1 Literacy 25 chapters
  1. What Is AI Governance
  2. Why AI Governance Matters in 2025+
  3. Enterprise Risks from AI
  4. Key Roles & Stakeholders
  5. The Governance Operating Model
  6. Building an AI Inventory
  7. The Global AI Regulatory Landscape
  8. The EU AI Act in Depth
  9. The NIST AI Risk Management Framework
  10. ISO/IEC 42001
  11. Sector-Specific AI Regulation
  12. Data Protection and AI
  13. Automated Decision-Making Rights
  14. Transparency and Disclosure Obligations
  15. AI Liability and Accountability Regimes
  16. The UK Approach to AI Regulation
  17. The US Federal and State Patchwork
  18. Asia-Pacific Regulatory Approaches
  19. Comparing Global Regulatory Regimes
  20. Trust, Transparency, and the Social License
  21. Introduction to AI Risk Appetite
  22. The Governance Leader's Toolkit Overview
  23. Reading and Interpreting AI Regulation
  24. Case Studies in AI Governance Foundations
  25. Phase 1 Capstone - The Literacy Brief
P2 The Rulebook 55 chapters
  1. The Global AI Regulatory Landscape
  2. The EU AI Act in Depth
  3. The NIST AI Risk Management Framework
  4. ISO/IEC 42001
  5. Sector-Specific AI Regulation: Finance
  6. Sector-Specific AI Regulation: Healthcare
  7. Sector-Specific AI Regulation: Employment & HR
  8. Data Protection and AI: The GDPR Intersection
  9. Automated Decision-Making Rights
  10. Transparency and Disclosure Obligations
  11. AI Liability and Accountability Regimes
  12. The UK Approach to AI Regulation
  13. The US Federal and State Patchwork
  14. Asia-Pacific AI Frameworks
  15. Building a Regulatory Crosswalk
  16. Intellectual Property and AI
  17. AI and Competition Law
  18. Consumer Protection and AI
  19. Sector Deep Dive: Insurance
  20. Sector Deep Dive: Public Sector & Government
  21. Sector Deep Dive: Critical Infrastructure
  22. Biometrics and Facial Recognition Law
  23. Children and Vulnerable Groups
  24. AI in Marketing and Advertising
  25. Content Moderation and Platform Rules
  26. Open Source and AI Governance
  27. Foundation Models and General-Purpose AI Rules
  28. Cross-Border Data Flows and AI
  29. Standards Bodies and the Standardization Landscape
  30. Certification, Audit, and Conformity Ecosystems
  31. Voluntary Codes and Industry Commitments
  32. Regulatory Sandboxes and Innovation Pathways
  33. Enforcement, Penalties, and Regulatory Actions
  34. Horizon Scanning for New Regulation
  35. Negotiating AI Clauses in Contracts
  36. Regulatory Relationships and Engagement
  37. AI Governance in Mergers and Acquisitions
  38. Records, Documentation, and Evidentiary Duties
  39. The Politics and Economics of AI Regulation
  40. Comparative Regulatory Philosophies
  41. AI and Sector Convergence Risks
  42. Emerging Liability for Autonomous Systems
  43. Whistleblowing and Internal Reporting Duties
  44. Regulatory Reporting and Notifications
  45. AI Governance and Financial Disclosure
  46. National Security and Export Controls
  47. Accessibility and Inclusive-Design Duties
  48. Environmental and Sustainability Obligations
  49. Litigation and Case Law Trends
  50. Regulatory Interpretation and Legal Opinions
  51. Multi-Jurisdiction Program Design
  52. AI Governance Frameworks Compared
  53. The Rulebook in Practice: An Integrated Case
  54. Future Regulatory Directions
  55. Phase 2 Capstone - The Regulatory Strategy
P3 The Controls 120 chapters
  1. AI Risk Assessment Fundamentals
  2. Building a Risk Taxonomy
  3. Risk Scoring and Tiering Methods
  4. Impact Assessments for AI
  5. Bias and Fairness: Concepts
  6. Fairness Metrics in Practice
  7. Bias Testing and Auditing
  8. Bias Mitigation Techniques
  9. Explainability: Concepts and Stakes
  10. Explainability Techniques for Leaders
  11. Transparency by Design
  12. Privacy-Preserving AI Techniques
  13. Data Governance Controls for AI
  14. Security of AI Systems: Threat Landscape
  15. Adversarial Robustness Controls
  16. Securing Generative and LLM Systems
  17. Human Oversight Design
  18. Human-in-the-Loop Patterns
  19. Model Validation and Testing
  20. Documentation and Model Cards
  21. Monitoring AI in Production
  22. Drift Detection and Response
  23. Incident Detection and Classification
  24. Third-Party and Vendor Risk Controls
  25. Supply-Chain and Foundation-Model Risk
  26. Control Selection and Design
  27. Control Testing and Assurance
  28. Residual Risk and Acceptance
  29. Red-Teaming AI Systems
  30. Safety Engineering for AI
  31. AI Risk Assessment Fundamentals - Advanced
  32. Building a Risk Taxonomy - Advanced
  33. Risk Scoring and Tiering Methods - Advanced
  34. Impact Assessments for AI - Advanced
  35. Bias and Fairness: Concepts - Advanced
  36. Fairness Metrics in Practice - Advanced
  37. Bias Testing and Auditing - Advanced
  38. Bias Mitigation Techniques - Advanced
  39. Explainability: Concepts and Stakes - Advanced
  40. Explainability Techniques for Leaders - Advanced
  41. Transparency by Design - Advanced
  42. Privacy-Preserving AI Techniques - Advanced
  43. Data Governance Controls for AI - Advanced
  44. Security of AI Systems: Threat Landscape - Advanced
  45. Adversarial Robustness Controls - Advanced
  46. Securing Generative and LLM Systems - Advanced
  47. Human Oversight Design - Advanced
  48. Human-in-the-Loop Patterns - Advanced
  49. Model Validation and Testing - Advanced
  50. Documentation and Model Cards - Advanced
  51. Monitoring AI in Production - Advanced
  52. Drift Detection and Response - Advanced
  53. Incident Detection and Classification - Advanced
  54. Third-Party and Vendor Risk Controls - Advanced
  55. Supply-Chain and Foundation-Model Risk - Advanced
  56. Control Selection and Design - Advanced
  57. Control Testing and Assurance - Advanced
  58. Residual Risk and Acceptance - Advanced
  59. Red-Teaming AI Systems - Advanced
  60. Safety Engineering for AI - Advanced
  61. AI Risk Assessment Fundamentals - Applied
  62. Building a Risk Taxonomy - Applied
  63. Risk Scoring and Tiering Methods - Applied
  64. Impact Assessments for AI - Applied
  65. Bias and Fairness: Concepts - Applied
  66. Fairness Metrics in Practice - Applied
  67. Bias Testing and Auditing - Applied
  68. Bias Mitigation Techniques - Applied
  69. Explainability: Concepts and Stakes - Applied
  70. Explainability Techniques for Leaders - Applied
  71. Transparency by Design - Applied
  72. Privacy-Preserving AI Techniques - Applied
  73. Data Governance Controls for AI - Applied
  74. Security of AI Systems: Threat Landscape - Applied
  75. Adversarial Robustness Controls - Applied
  76. Securing Generative and LLM Systems - Applied
  77. Human Oversight Design - Applied
  78. Human-in-the-Loop Patterns - Applied
  79. Model Validation and Testing - Applied
  80. Documentation and Model Cards - Applied
  81. Monitoring AI in Production - Applied
  82. Drift Detection and Response - Applied
  83. Incident Detection and Classification - Applied
  84. Third-Party and Vendor Risk Controls - Applied
  85. Supply-Chain and Foundation-Model Risk - Applied
  86. Control Selection and Design - Applied
  87. Control Testing and Assurance - Applied
  88. Residual Risk and Acceptance - Applied
  89. Red-Teaming AI Systems - Applied
  90. Safety Engineering for AI - Applied
  91. AI Risk Assessment Fundamentals - Deep Dive
  92. Building a Risk Taxonomy - Deep Dive
  93. Risk Scoring and Tiering Methods - Deep Dive
  94. Impact Assessments for AI - Deep Dive
  95. Bias and Fairness: Concepts - Deep Dive
  96. Fairness Metrics in Practice - Deep Dive
  97. Bias Testing and Auditing - Deep Dive
  98. Bias Mitigation Techniques - Deep Dive
  99. Explainability: Concepts and Stakes - Deep Dive
  100. Explainability Techniques for Leaders - Deep Dive
  101. Transparency by Design - Deep Dive
  102. Privacy-Preserving AI Techniques - Deep Dive
  103. Data Governance Controls for AI - Deep Dive
  104. Security of AI Systems: Threat Landscape - Deep Dive
  105. Adversarial Robustness Controls - Deep Dive
  106. Securing Generative and LLM Systems - Deep Dive
  107. Human Oversight Design - Deep Dive
  108. Human-in-the-Loop Patterns - Deep Dive
  109. Model Validation and Testing - Deep Dive
  110. Documentation and Model Cards - Deep Dive
  111. Monitoring AI in Production - Deep Dive
  112. Drift Detection and Response - Deep Dive
  113. Incident Detection and Classification - Deep Dive
  114. Third-Party and Vendor Risk Controls - Deep Dive
  115. Supply-Chain and Foundation-Model Risk - Deep Dive
  116. Control Selection and Design - Deep Dive
  117. Control Testing and Assurance - Deep Dive
  118. Residual Risk and Acceptance - Deep Dive
  119. Red-Teaming AI Systems - Deep Dive
  120. Safety Engineering for AI - Deep Dive
P4 Operations 130 chapters
  1. The AI Use-Case Lifecycle in Operation
  2. Designing the Intake Process
  3. Running an AI Governance Committee
  4. Decision Rights and Escalation in Practice
  5. Governance Tooling and the GRC Stack
  6. Metrics, KPIs, and Dashboards
  7. Board and Executive Reporting
  8. Audit Readiness and Evidence Management
  9. Policy and Standard Authoring
  10. Training and Culture Change
  11. AI Incident Management End to End
  12. Post-Incident Review and Learning
  13. Scaling Governance Across the Enterprise
  14. Embedding Governance in the SDLC
  15. Governance for Procurement and Vendors
  16. Change Management for AI Systems
  17. The Governance Operating Rhythm
  18. Cross-Functional Coordination
  19. Self-Service and Delegated Governance
  20. Governance Workflow Automation
  21. Managing the Risk Register
  22. Continuous Compliance Monitoring
  23. Governance for Rapid Experimentation
  24. Stakeholder Communication and Engagement
  25. Resourcing and Capacity Planning
  26. Governance Documentation Systems
  27. Operationalizing Human Oversight
  28. Managing Model Inventories at Scale
  29. Service-Level and Performance Management
  30. Operations Capstone - Running the Function
  31. The AI Use-Case Lifecycle in Operation - Advanced
  32. Designing the Intake Process - Advanced
  33. Running an AI Governance Committee - Advanced
  34. Decision Rights and Escalation in Practice - Advanced
  35. Governance Tooling and the GRC Stack - Advanced
  36. Metrics, KPIs, and Dashboards - Advanced
  37. Board and Executive Reporting - Advanced
  38. Audit Readiness and Evidence Management - Advanced
  39. Policy and Standard Authoring - Advanced
  40. Training and Culture Change - Advanced
  41. AI Incident Management End to End - Advanced
  42. Post-Incident Review and Learning - Advanced
  43. Scaling Governance Across the Enterprise - Advanced
  44. Embedding Governance in the SDLC - Advanced
  45. Governance for Procurement and Vendors - Advanced
  46. Change Management for AI Systems - Advanced
  47. The Governance Operating Rhythm - Advanced
  48. Cross-Functional Coordination - Advanced
  49. Self-Service and Delegated Governance - Advanced
  50. Governance Workflow Automation - Advanced
  51. Managing the Risk Register - Advanced
  52. Continuous Compliance Monitoring - Advanced
  53. Governance for Rapid Experimentation - Advanced
  54. Stakeholder Communication and Engagement - Advanced
  55. Resourcing and Capacity Planning - Advanced
  56. Governance Documentation Systems - Advanced
  57. Operationalizing Human Oversight - Advanced
  58. Managing Model Inventories at Scale - Advanced
  59. Service-Level and Performance Management - Advanced
  60. Operations Capstone - Running the Function - Advanced
  61. The AI Use-Case Lifecycle in Operation - Applied
  62. Designing the Intake Process - Applied
  63. Running an AI Governance Committee - Applied
  64. Decision Rights and Escalation in Practice - Applied
  65. Governance Tooling and the GRC Stack - Applied
  66. Metrics, KPIs, and Dashboards - Applied
  67. Board and Executive Reporting - Applied
  68. Audit Readiness and Evidence Management - Applied
  69. Policy and Standard Authoring - Applied
  70. Training and Culture Change - Applied
  71. AI Incident Management End to End - Applied
  72. Post-Incident Review and Learning - Applied
  73. Scaling Governance Across the Enterprise - Applied
  74. Embedding Governance in the SDLC - Applied
  75. Governance for Procurement and Vendors - Applied
  76. Change Management for AI Systems - Applied
  77. The Governance Operating Rhythm - Applied
  78. Cross-Functional Coordination - Applied
  79. Self-Service and Delegated Governance - Applied
  80. Governance Workflow Automation - Applied
  81. Managing the Risk Register - Applied
  82. Continuous Compliance Monitoring - Applied
  83. Governance for Rapid Experimentation - Applied
  84. Stakeholder Communication and Engagement - Applied
  85. Resourcing and Capacity Planning - Applied
  86. Governance Documentation Systems - Applied
  87. Operationalizing Human Oversight - Applied
  88. Managing Model Inventories at Scale - Applied
  89. Service-Level and Performance Management - Applied
  90. Operations Capstone - Running the Function - Applied
  91. The AI Use-Case Lifecycle in Operation - Deep Dive
  92. Designing the Intake Process - Deep Dive
  93. Running an AI Governance Committee - Deep Dive
  94. Decision Rights and Escalation in Practice - Deep Dive
  95. Governance Tooling and the GRC Stack - Deep Dive
  96. Metrics, KPIs, and Dashboards - Deep Dive
  97. Board and Executive Reporting - Deep Dive
  98. Audit Readiness and Evidence Management - Deep Dive
  99. Policy and Standard Authoring - Deep Dive
  100. Training and Culture Change - Deep Dive
  101. AI Incident Management End to End - Deep Dive
  102. Post-Incident Review and Learning - Deep Dive
  103. Scaling Governance Across the Enterprise - Deep Dive
  104. Embedding Governance in the SDLC - Deep Dive
  105. Governance for Procurement and Vendors - Deep Dive
  106. Change Management for AI Systems - Deep Dive
  107. The Governance Operating Rhythm - Deep Dive
  108. Cross-Functional Coordination - Deep Dive
  109. Self-Service and Delegated Governance - Deep Dive
  110. Governance Workflow Automation - Deep Dive
  111. Managing the Risk Register - Deep Dive
  112. Continuous Compliance Monitoring - Deep Dive
  113. Governance for Rapid Experimentation - Deep Dive
  114. Stakeholder Communication and Engagement - Deep Dive
  115. Resourcing and Capacity Planning - Deep Dive
  116. Governance Documentation Systems - Deep Dive
  117. Operationalizing Human Oversight - Deep Dive
  118. Managing Model Inventories at Scale - Deep Dive
  119. Service-Level and Performance Management - Deep Dive
  120. Operations Capstone - Running the Function - Deep Dive
  121. The AI Use-Case Lifecycle in Operation - In Practice
  122. Designing the Intake Process - In Practice
  123. Running an AI Governance Committee - In Practice
  124. Decision Rights and Escalation in Practice - In Practice
  125. Governance Tooling and the GRC Stack - In Practice
  126. Metrics, KPIs, and Dashboards - In Practice
  127. Board and Executive Reporting - In Practice
  128. Audit Readiness and Evidence Management - In Practice
  129. Policy and Standard Authoring - In Practice
  130. Training and Culture Change - In Practice
P5 Leadership 110 chapters
  1. Building the Governance Team
  2. Securing Mandate and Sponsorship
  3. Building the Business Case
  4. Influencing Without Authority
  5. Board and C-Suite Communication
  6. Avoiding the Department of No
  7. Governance Strategy and Roadmaps
  8. Maturity Assessment and Improvement
  9. Vendor and Partner Management
  10. Crisis Leadership When AI Fails
  11. Navigating Organizational Resistance
  12. The Governance Leader's Career Path
  13. Stakeholder Mapping and Power
  14. Communicating Risk to Non-Experts
  15. Building a Governance Culture
  16. Leading Change at Scale
  17. Negotiation and Conflict Resolution
  18. Ethics Leadership and Moral Courage
  19. Strategic Alignment with the Business
  20. Measuring Leadership Effectiveness
  21. Talent, Skills, and Development
  22. Governance and Innovation Partnership
  23. Budgeting and Resource Advocacy
  24. Executive Decision Support
  25. Reputation and Trust Leadership
  26. Leading Distributed and Global Teams
  27. Personal Effectiveness and Resilience
  28. Mentoring and Building the Profession
  29. Governance in the Executive Team
  30. Leadership Capstone - The Governance Leader
  31. Building the Governance Team - Advanced
  32. Securing Mandate and Sponsorship - Advanced
  33. Building the Business Case - Advanced
  34. Influencing Without Authority - Advanced
  35. Board and C-Suite Communication - Advanced
  36. Avoiding the Department of No - Advanced
  37. Governance Strategy and Roadmaps - Advanced
  38. Maturity Assessment and Improvement - Advanced
  39. Vendor and Partner Management - Advanced
  40. Crisis Leadership When AI Fails - Advanced
  41. Navigating Organizational Resistance - Advanced
  42. The Governance Leader's Career Path - Advanced
  43. Stakeholder Mapping and Power - Advanced
  44. Communicating Risk to Non-Experts - Advanced
  45. Building a Governance Culture - Advanced
  46. Leading Change at Scale - Advanced
  47. Negotiation and Conflict Resolution - Advanced
  48. Ethics Leadership and Moral Courage - Advanced
  49. Strategic Alignment with the Business - Advanced
  50. Measuring Leadership Effectiveness - Advanced
  51. Talent, Skills, and Development - Advanced
  52. Governance and Innovation Partnership - Advanced
  53. Budgeting and Resource Advocacy - Advanced
  54. Executive Decision Support - Advanced
  55. Reputation and Trust Leadership - Advanced
  56. Leading Distributed and Global Teams - Advanced
  57. Personal Effectiveness and Resilience - Advanced
  58. Mentoring and Building the Profession - Advanced
  59. Governance in the Executive Team - Advanced
  60. Leadership Capstone - The Governance Leader - Advanced
  61. Building the Governance Team - Applied
  62. Securing Mandate and Sponsorship - Applied
  63. Building the Business Case - Applied
  64. Influencing Without Authority - Applied
  65. Board and C-Suite Communication - Applied
  66. Avoiding the Department of No - Applied
  67. Governance Strategy and Roadmaps - Applied
  68. Maturity Assessment and Improvement - Applied
  69. Vendor and Partner Management - Applied
  70. Crisis Leadership When AI Fails - Applied
  71. Navigating Organizational Resistance - Applied
  72. The Governance Leader's Career Path - Applied
  73. Stakeholder Mapping and Power - Applied
  74. Communicating Risk to Non-Experts - Applied
  75. Building a Governance Culture - Applied
  76. Leading Change at Scale - Applied
  77. Negotiation and Conflict Resolution - Applied
  78. Ethics Leadership and Moral Courage - Applied
  79. Strategic Alignment with the Business - Applied
  80. Measuring Leadership Effectiveness - Applied
  81. Talent, Skills, and Development - Applied
  82. Governance and Innovation Partnership - Applied
  83. Budgeting and Resource Advocacy - Applied
  84. Executive Decision Support - Applied
  85. Reputation and Trust Leadership - Applied
  86. Leading Distributed and Global Teams - Applied
  87. Personal Effectiveness and Resilience - Applied
  88. Mentoring and Building the Profession - Applied
  89. Governance in the Executive Team - Applied
  90. Leadership Capstone - The Governance Leader - Applied
  91. Building the Governance Team - Deep Dive
  92. Securing Mandate and Sponsorship - Deep Dive
  93. Building the Business Case - Deep Dive
  94. Influencing Without Authority - Deep Dive
  95. Board and C-Suite Communication - Deep Dive
  96. Avoiding the Department of No - Deep Dive
  97. Governance Strategy and Roadmaps - Deep Dive
  98. Maturity Assessment and Improvement - Deep Dive
  99. Vendor and Partner Management - Deep Dive
  100. Crisis Leadership When AI Fails - Deep Dive
  101. Navigating Organizational Resistance - Deep Dive
  102. The Governance Leader's Career Path - Deep Dive
  103. Stakeholder Mapping and Power - Deep Dive
  104. Communicating Risk to Non-Experts - Deep Dive
  105. Building a Governance Culture - Deep Dive
  106. Leading Change at Scale - Deep Dive
  107. Negotiation and Conflict Resolution - Deep Dive
  108. Ethics Leadership and Moral Courage - Deep Dive
  109. Strategic Alignment with the Business - Deep Dive
  110. Measuring Leadership Effectiveness - Deep Dive
P6 Mastery 119 chapters
  1. Governing Generative AI
  2. Governing Foundation Models
  3. Agentic AI and Autonomous Systems
  4. Frontier Models and Systemic Risk
  5. Multi-Agent and Compound Systems
  6. AI Governance in High-Stakes Domains
  7. Emerging Regulation and Horizon Scanning
  8. Geopolitics of AI
  9. AI Ethics Beyond Compliance
  10. Measuring Governance Effectiveness
  11. Case Studies: Governance Successes
  12. Case Studies: Governance Failures
  13. AI and the Future of Work
  14. Sustainable and Responsible AI at Scale
  15. AI Assurance as a Discipline
  16. Quantifying and Pricing AI Risk
  17. AI Insurance and Risk Transfer
  18. Governing AI Research and Development
  19. International Coordination and Standards
  20. The Economics of AI Governance
  21. Advanced Board Governance of AI
  22. AI Governance and Digital Trust
  23. Building an Industry-Leading Program
  24. Governance for AI Platforms and Marketplaces
  25. The Long-Term Trajectory of AI Governance
  26. Synthesis: The Complete Practitioner
  27. Designing a Greenfield Governance Program
  28. Transforming a Failing Program
  29. The Governance Leader as Strategist
  30. Mastery Capstone - The Integrated Program
  31. Governing Generative AI - Advanced
  32. Governing Foundation Models - Advanced
  33. Agentic AI and Autonomous Systems - Advanced
  34. Frontier Models and Systemic Risk - Advanced
  35. Multi-Agent and Compound Systems - Advanced
  36. AI Governance in High-Stakes Domains - Advanced
  37. Emerging Regulation and Horizon Scanning - Advanced
  38. Geopolitics of AI - Advanced
  39. AI Ethics Beyond Compliance - Advanced
  40. Measuring Governance Effectiveness - Advanced
  41. Case Studies: Governance Successes - Advanced
  42. Case Studies: Governance Failures - Advanced
  43. AI and the Future of Work - Advanced
  44. Sustainable and Responsible AI at Scale - Advanced
  45. AI Assurance as a Discipline - Advanced
  46. Quantifying and Pricing AI Risk - Advanced
  47. AI Insurance and Risk Transfer - Advanced
  48. Governing AI Research and Development - Advanced
  49. International Coordination and Standards - Advanced
  50. The Economics of AI Governance - Advanced
  51. Advanced Board Governance of AI - Advanced
  52. AI Governance and Digital Trust - Advanced
  53. Building an Industry-Leading Program - Advanced
  54. Governance for AI Platforms and Marketplaces - Advanced
  55. The Long-Term Trajectory of AI Governance - Advanced
  56. Synthesis: The Complete Practitioner - Advanced
  57. Designing a Greenfield Governance Program - Advanced
  58. Transforming a Failing Program - Advanced
  59. The Governance Leader as Strategist - Advanced
  60. Mastery Capstone - The Integrated Program - Advanced
  61. Governing Generative AI - Applied
  62. Governing Foundation Models - Applied
  63. Agentic AI and Autonomous Systems - Applied
  64. Frontier Models and Systemic Risk - Applied
  65. Multi-Agent and Compound Systems - Applied
  66. AI Governance in High-Stakes Domains - Applied
  67. Emerging Regulation and Horizon Scanning - Applied
  68. Geopolitics of AI - Applied
  69. AI Ethics Beyond Compliance - Applied
  70. Measuring Governance Effectiveness - Applied
  71. Case Studies: Governance Successes - Applied
  72. Case Studies: Governance Failures - Applied
  73. AI and the Future of Work - Applied
  74. Sustainable and Responsible AI at Scale - Applied
  75. AI Assurance as a Discipline - Applied
  76. Quantifying and Pricing AI Risk - Applied
  77. AI Insurance and Risk Transfer - Applied
  78. Governing AI Research and Development - Applied
  79. International Coordination and Standards - Applied
  80. The Economics of AI Governance - Applied
  81. Advanced Board Governance of AI - Applied
  82. AI Governance and Digital Trust - Applied
  83. Building an Industry-Leading Program - Applied
  84. Governance for AI Platforms and Marketplaces - Applied
  85. The Long-Term Trajectory of AI Governance - Applied
  86. Synthesis: The Complete Practitioner - Applied
  87. Designing a Greenfield Governance Program - Applied
  88. Transforming a Failing Program - Applied
  89. The Governance Leader as Strategist - Applied
  90. Mastery Capstone - The Integrated Program - Applied
  91. Governing Generative AI - Deep Dive
  92. Governing Foundation Models - Deep Dive
  93. Agentic AI and Autonomous Systems - Deep Dive
  94. Frontier Models and Systemic Risk - Deep Dive
  95. Multi-Agent and Compound Systems - Deep Dive
  96. AI Governance in High-Stakes Domains - Deep Dive
  97. Emerging Regulation and Horizon Scanning - Deep Dive
  98. Geopolitics of AI - Deep Dive
  99. AI Ethics Beyond Compliance - Deep Dive
  100. Measuring Governance Effectiveness - Deep Dive
  101. Case Studies: Governance Successes - Deep Dive
  102. Case Studies: Governance Failures - Deep Dive
  103. AI and the Future of Work - Deep Dive
  104. Sustainable and Responsible AI at Scale - Deep Dive
  105. AI Assurance as a Discipline - Deep Dive
  106. Quantifying and Pricing AI Risk - Deep Dive
  107. AI Insurance and Risk Transfer - Deep Dive
  108. Governing AI Research and Development - Deep Dive
  109. International Coordination and Standards - Deep Dive
  110. The Economics of AI Governance - Deep Dive
  111. Advanced Board Governance of AI - Deep Dive
  112. AI Governance and Digital Trust - Deep Dive
  113. Building an Industry-Leading Program - Deep Dive
  114. Governance for AI Platforms and Marketplaces - Deep Dive
  115. The Long-Term Trajectory of AI Governance - Deep Dive
  116. Synthesis: The Complete Practitioner - Deep Dive
  117. Designing a Greenfield Governance Program - Deep Dive
  118. Transforming a Failing Program - Deep Dive
  119. The Governance Leader as Strategist - Deep Dive
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FAQ

AI Governance & Responsible AI Course - answered

What is the AI Governance & Responsible AI Course?

A complete, self-paced certification program that builds the AI governance practitioner across 559 chapters in six phases - literacy, the rulebook, the controls, operations, leadership, and mastery.

Who is it for?

AI governance leads, chief-data and AI-risk officers, model-risk and compliance leaders, and practitioners building the governance function - from newcomers through to enterprise leaders.

Do I need a technical background?

No. It builds just enough technical fluency to ask sharp questions, and focuses on governance, risk, law, operations, and leadership rather than model implementation.

Which regulations and frameworks does it cover?

The EU AI Act, NIST AI RMF, ISO 42001, and sector-specific rules, taught with a crosswalk technique that maps one internal standard to every applicable regime.

How is it structured?

Six phases with continuous, global chapter numbering from 1 to 559. Each phase has its own labs and a capstone, and the phases build from literacy to mastery.

Is it hands-on?

Yes. Chapters pair concepts with labs - for example, classifying statements as governance, ethics, or compliance, routing use cases through the operating model, and building an AI inventory - and phase capstones produce board-ready deliverables.

Is there a certificate?

Yes. It is a certification program, awarding a Durga Analytics certificate and digital badge.

Is there a downloadable brochure?

Yes, from the download button at the top of this page.

AI Governance & Responsible AI Course for you or your team

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