$999

AI Governance & Responsible AI

Course
354 Lessons

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. Full Course Details https://durgaanalytics.com/trainings/ai-governance-responsible-ai

Buy now

Module 01 - Foundations of AI Governance (Chapters 01–06)

Module 01 - Foundations of AI Governance.mp4

Preview

Module 01 - Foundations of AI Governance.chapters.txt

1. What Is AI Governance.m4a

Preview

2. Why AI Governance Matters in 2025+.m4a

3. Enterprise Risks from AI.m4a

4. Key Roles & Stakeholders.m4a

5. The Governance Operating Model.m4a

6. Building an AI Inventory.m4a

Module 02 - Understanding AI & Its Risks (Chapters 07–10)

Module 02 - Understanding AI & Its Risks.mp4

Preview

Module 02 - Understanding AI & Its Risks.chapters.txt

9. The AI Lifecycle End to End.m4a

10. Data as the Foundation of AI Risk.m4a

8. Types of AI Systems and Why They Matter.m4a

7. The Language of AI for Governance Leaders.m4a

Module 03 - Principles, Ethics & Stakeholders (Chapters 11–15)

Module 03 - Principles, Ethics & Stakeholders.mp4

Module 03 - Principles, Ethics & Stakeholders.chapters.txt

12. AI Ethics vs AI Governance vs AI Compliance.m4a

13. Stakeholders Beyond the Enterprise.m4a

14. The Business Value of Good Governance.m4a

11. Responsible AI Principles and Where They Come From.m4a

15. Common AI Governance Myths.m4a

Module 04 - The Governance Practice & Value (Chapters 16–19)

Module 04 - The Governance Practice & Value.mp4

Module 04 - The Governance Practice & Value.chapters.txt

19. Building AI Literacy Across the Organization.m4a

16. A Day in the Life of an AI Governance Leader.m4a

18. The Cost of Getting It Wrong.m4a

17. Maturity Models for AI Governance.m4a

Module 05 - Trust, Appetite & Tools (Chapters 20–23)

Module 05 - Trust, Appetite & Tools.mp4

Module 05 - Trust, Appetite & Tools.chapters.txt

22. The Governance Leader's Toolkit Overview.m4a

21. Introduction to AI Risk Appetite.m4a

23. Reading and Interpreting AI Regulation.m4a

20. Trust, Transparency, and the Social License.m4a

Module 06 - Foundations Capstone (Chapters 24–25)

Module 06 - Foundations Capstone.mp4

Module 06 - Foundations Capstone.chapters.txt

24. Case Studies in AI Governance Foundations.m4a

25. Phase 1 Capstone - The Literacy Brief.m4a

Module 07 - The Regulatory Map & Core Frameworks (Chapters 26–29)

Module 07 - The Regulatory Map & Core Frameworks.mp4

Module 07 - The Regulatory Map & Core Frameworks.chapters.txt

29. ISO_IEC 42001.m4a

26. The Global AI Regulatory Landscape.m4a

28. The NIST AI Risk Management Framework.m4a

27. The EU AI Act in Depth.m4a

Module 08 - Sector & Data Regulation (Chapters 30–34)

Module 08 - Sector & Data Regulation.mp4

Module 08 - Sector & Data Regulation.chapters.txt

33. Data Protection and AI_ The GDPR Intersection.m4a

32. Sector-Specific AI Regulation_ Employment & HR.m4a

34. Automated Decision-Making Rights.m4a

31. Sector-Specific AI Regulation_ Healthcare.m4a

30. Sector-Specific AI Regulation_ Finance.m4a

Module 09 - Rights, Disclosure & Liability (Chapters 35–36)

Module 09 - Rights, Disclosure & Liability.mp4

Module 09 - Rights, Disclosure & Liability.chapters.txt

35. Transparency and Disclosure Obligations.m4a

36. AI Liability and Accountability Regimes.m4a

Module 10 - The Jurisdictional Tour (Chapters 37–39)

Module 10 - The Jurisdictional Tour.mp4

Module 10 - The Jurisdictional Tour.chapters.txt

39. Asia-Pacific AI Frameworks.m4a

37. The UK Approach to AI Regulation.m4a

38. The US Federal and State Patchwork.m4a

Module 11 - Crosswalk & Synthesis (Chapters 40–40)

Module 11 - Crosswalk & Synthesis.mp4

Module 11 - Crosswalk & Synthesis.chapters.txt

40. Building a Regulatory Crosswalk.m4a

Module 12 - Compliance Mapping & Adjacent Domains (Chapters 41–50)

Module 12 - Compliance Mapping & Adjacent Domains.mp4

Module 12 - Compliance Mapping & Adjacent Domains.chapters.txt

42. AI and Competition Law.m4a

46. Sector Deep Dive_ Critical Infrastructure.m4a

44. Sector Deep Dive_ Insurance.m4a

49. AI in Marketing and Advertising.m4a

41. Intellectual Property and AI.m4a

43. Consumer Protection and AI.m4a

48. Children and Vulnerable Groups.m4a

47. Biometrics and Facial Recognition Law.m4a

45. Sector Deep Dive_ Public Sector & Government.m4a

50. Content Moderation and Platform Rules.m4a

Module 13 - Standards, Assurance & Enforcement (Chapters 51–58)

Module 13 - Standards, Assurance & Enforcement.mp4

Module 13 - Standards, Assurance & Enforcement.chapters.txt

57. Regulatory Sandboxes and Innovation Pathways.m4a

51. Open Source and AI Governance.m4a

56. Voluntary Codes and Industry Commitments.m4a

58. Enforcement, Penalties, and Regulatory Actions.m4a

54. Standards Bodies and the Standardization Landscape.m4a

55. Certification, Audit, and Conformity Ecosystems.m4a

52. Foundation Models and General-Purpose AI Rules.m4a

53. Cross-Border Data Flows and AI.m4a

Module 14 - Engagement, Deals & Documentation (Chapters 59–63)

Module 14 - Engagement, Deals & Documentation.mp4

Module 14 - Engagement, Deals & Documentation.chapters.txt

59. Horizon Scanning for New Regulation.m4a

63. Records, Documentation, and Evidentiary Duties.m4a

61. Regulatory Relationships and Engagement.m4a

60. Negotiating AI Clauses in Contracts.m4a

62. AI Governance in Mergers and Acquisitions.m4a

Module 15 - Advanced Regulatory Strategy (Chapters 64–79)

Module 15 - Advanced Regulatory Strategy.mp4

Module 15 - Advanced Regulatory Strategy.chapters.txt

73. Environmental and Sustainability Obligations.m4a

79. Future Regulatory Directions.m4a

66. AI and Sector Convergence Risks.m4a

77. AI Governance Frameworks Compared.m4a

75. Regulatory Interpretation and Legal Opinions.m4a

68. Whistleblowing and Internal Reporting Duties.m4a

74. Litigation and Case Law Trends.m4a

67. Emerging Liability for Autonomous Systems.m4a

69. Regulatory Reporting and Notifications.m4a

64. The Politics and Economics of AI Regulation.m4a

65. Comparative Regulatory Philosophies.m4a

78. The Rulebook in Practice_ An Integrated Case.m4a

72. Accessibility and Inclusive-Design Duties.m4a

71. National Security and Export Controls.m4a

76. Multi-Jurisdiction Program Design.m4a

70. AI Governance and Financial Disclosure.m4a

Module 16 - Phase 2 Capstone (Chapters 80–80)

Module 16 - Phase 2 Capstone.mp4

Module 16 - Phase 2 Capstone.chapters.txt

80. Phase 2 Capstone - The Regulatory Strategy.m4a

Module 17 - Risk Assessment & Tiering (Chapters 81–84)

Module 17 - Risk Assessment & Tiering.mp4

Module 17 - Risk Assessment & Tiering.chapters.txt

81. AI Risk Assessment Fundamentals.m4a

83. Risk Scoring and Tiering Methods.m4a

82. Building a Risk Taxonomy.m4a

84. Impact Assessments for AI.m4a

Module 18 - Fairness & Bias Controls (Chapters 85–88)

Module 18 - Fairness & Bias Controls.mp4

Module 18 - Fairness & Bias Controls.chapters.txt

85. Bias and Fairness_ Concepts.m4a

88. Bias Mitigation Techniques.m4a

86. Fairness Metrics in Practice.m4a

87. Bias Testing and Auditing.m4a

Module 19 - Explainability & Transparency (Chapters 89–91)

Module 19 - Explainability & Transparency.mp4

Module 19 - Explainability & Transparency.chapters.txt

91. Transparency by Design.m4a

89. Explainability_ Concepts and Stakes.m4a

90. Explainability Techniques for Leaders.m4a

Module 20 - Privacy, Data & Security Controls (Chapters 92–96)

Module 20 - Privacy, Data & Security Controls.mp4

Module 20 - Privacy, Data & Security Controls.chapters.txt

96. Securing Generative and LLM Systems.m4a

93. Data Governance Controls for AI.m4a

94. Security of AI Systems_ Threat Landscape.m4a

95. Adversarial Robustness Controls.m4a

92. Privacy-Preserving AI Techniques.m4a

Module 21 - Oversight, Validation & Monitoring (Chapters 97–103)

Module 21 - Oversight, Validation & Monitoring.mp4

Module 21 - Oversight, Validation & Monitoring.chapters.txt

101. Monitoring AI in Production.m4a

102. Drift Detection and Response.m4a

100. Documentation and Model Cards.m4a

103. Incident Detection and Classification.m4a

97. Human Oversight Design.m4a

98. Human-in-the-Loop Patterns.m4a

99. Model Validation and Testing.m4a

Module 22 - Third-Party, Selection & Assurance (Chapters 104–110)

Module 22 - Third-Party, Selection & Assurance.mp4

Module 22 - Third-Party, Selection & Assurance.chapters.txt

108. Residual Risk and Acceptance.m4a

104. Third-Party and Vendor Risk Controls.m4a

109. Red-Teaming AI Systems.m4a

105. Supply-Chain and Foundation-Model Risk.m4a

106. Control Selection and Design.m4a

110. Safety Engineering for AI.m4a

107. Control Testing and Assurance.m4a

Module 23 - Controls - Advanced Track (Chapters 111–140)

Module 23 - Controls - Advanced Track.mp4

Module 23 - Controls - Advanced Track.chapters.txt

119. Explainability_ Concepts and Stakes - Advanced.m4a

123. Data Governance Controls for AI - Advanced.m4a

132. Drift Detection and Response - Advanced.m4a

117. Bias Testing and Auditing - Advanced.m4a

137. Control Testing and Assurance - Advanced.m4a

122. Privacy-Preserving AI Techniques - Advanced.m4a

124. Security of AI Systems_ Threat Landscape - Advanced.m4a

126. Securing Generative and LLM Systems - Advanced.m4a

138. Residual Risk and Acceptance - Advanced.m4a

116. Fairness Metrics in Practice - Advanced.m4a

113. Risk Scoring and Tiering Methods - Advanced.m4a

118. Bias Mitigation Techniques - Advanced.m4a

112. Building a Risk Taxonomy - Advanced.m4a

125. Adversarial Robustness Controls - Advanced.m4a

127. Human Oversight Design - Advanced.m4a

130. Documentation and Model Cards - Advanced.m4a

115. Bias and Fairness_ Concepts - Advanced.m4a

134. Third-Party and Vendor Risk Controls - Advanced.m4a

140. Safety Engineering for AI - Advanced.m4a

111. AI Risk Assessment Fundamentals - Advanced.m4a

135. Supply-Chain and Foundation-Model Risk - Advanced.m4a

114. Impact Assessments for AI - Advanced.m4a

133. Incident Detection and Classification - Advanced.m4a

136. Control Selection and Design - Advanced.m4a

131. Monitoring AI in Production - Advanced.m4a

121. Transparency by Design - Advanced.m4a

129. Model Validation and Testing - Advanced.m4a

139. Red-Teaming AI Systems - Advanced.m4a

120. Explainability Techniques for Leaders - Advanced.m4a

128. Human-in-the-Loop Patterns - Advanced.m4a

Module 24 - Controls - Applied Track (Chapters 141–170)

Module 24 - Controls - Applied Track.mp4

Module 24 - Controls - Applied Track.chapters.txt

152. Privacy-Preserving AI Techniques - Applied.m4a

143. Risk Scoring and Tiering Methods - Applied.m4a

169. Red-Teaming AI Systems - Applied.m4a

145. Bias and Fairness_ Concepts - Applied.m4a

150. Explainability Techniques for Leaders - Applied.m4a

144. Impact Assessments for AI - Applied.m4a

161. Monitoring AI in Production - Applied.m4a

159. Model Validation and Testing - Applied.m4a

147. Bias Testing and Auditing - Applied.m4a

164. Third-Party and Vendor Risk Controls - Applied.m4a

153. Data Governance Controls for AI - Applied.m4a

167. Control Testing and Assurance - Applied.m4a

166. Control Selection and Design - Applied.m4a

168. Residual Risk and Acceptance - Applied.m4a

141. AI Risk Assessment Fundamentals - Applied.m4a

151. Transparency by Design - Applied.m4a

149. Explainability_ Concepts and Stakes - Applied.m4a

155. Adversarial Robustness Controls - Applied.m4a

142. Building a Risk Taxonomy - Applied.m4a

154. Security of AI Systems_ Threat Landscape - Applied.m4a

158. Human-in-the-Loop Patterns - Applied.m4a

156. Securing Generative and LLM Systems - Applied.m4a

162. Drift Detection and Response - Applied.m4a

157. Human Oversight Design - Applied.m4a

148. Bias Mitigation Techniques - Applied.m4a

160. Documentation and Model Cards - Applied.m4a

146. Fairness Metrics in Practice - Applied.m4a

170. Safety Engineering for AI - Applied.m4a

165. Supply-Chain and Foundation-Model Risk - Applied.m4a

163. Incident Detection and Classification - Applied.m4a

Module 25 - Controls - Deep Dive Track (Chapters 171–200)

Module 24 - Controls - Applied Track.mp4

Module 24 - Controls - Applied Track.chapters.txt

152. Privacy-Preserving AI Techniques - Applied.m4a

145. Bias and Fairness_ Concepts - Applied.m4a

150. Explainability Techniques for Leaders - Applied.m4a

143. Risk Scoring and Tiering Methods - Applied.m4a

161. Monitoring AI in Production - Applied.m4a

169. Red-Teaming AI Systems - Applied.m4a

147. Bias Testing and Auditing - Applied.m4a

144. Impact Assessments for AI - Applied.m4a

159. Model Validation and Testing - Applied.m4a

153. Data Governance Controls for AI - Applied.m4a

167. Control Testing and Assurance - Applied.m4a

164. Third-Party and Vendor Risk Controls - Applied.m4a

168. Residual Risk and Acceptance - Applied.m4a

141. AI Risk Assessment Fundamentals - Applied.m4a

166. Control Selection and Design - Applied.m4a

158. Human-in-the-Loop Patterns - Applied.m4a

149. Explainability_ Concepts and Stakes - Applied.m4a

142. Building a Risk Taxonomy - Applied.m4a

151. Transparency by Design - Applied.m4a

160. Documentation and Model Cards - Applied.m4a

162. Drift Detection and Response - Applied.m4a

156. Securing Generative and LLM Systems - Applied.m4a

148. Bias Mitigation Techniques - Applied.m4a

146. Fairness Metrics in Practice - Applied.m4a

155. Adversarial Robustness Controls - Applied.m4a

154. Security of AI Systems_ Threat Landscape - Applied.m4a

157. Human Oversight Design - Applied.m4a

170. Safety Engineering for AI - Applied.m4a

165. Supply-Chain and Foundation-Model Risk - Applied.m4a

163. Incident Detection and Classification - Applied.m4a

Module 26 - The Operating Lifecycle & Intake (Chapters 201–206)

Module 26 - The Operating Lifecycle & Intake.mp4

Module 26 - The Operating Lifecycle & Intake.chapters.txt

201. The AI Use-Case Lifecycle in Operation.m4a

203. Running an AI Governance Committee.m4a

204. Decision Rights and Escalation in Practice.m4a

202. Designing the Intake Process.m4a

206. Metrics, KPIs, and Dashboards.m4a

205. Governance Tooling and the GRC Stack.m4a

Module 27 - Reporting, Audit & Policy (Chapters 207–210)

Module 27 - Reporting, Audit & Policy.mp4

Module 27 - Reporting, Audit & Policy.chapters.txt

208. Audit Readiness and Evidence Management.m4a

207. Board and Executive Reporting.m4a

209. Policy and Standard Authoring.m4a

210. Training and Culture Change.m4a

Module 28 - Incident, Scaling & SDLC (Chapters 211–216)

Module 28 - Incident, Scaling & SDLC.mp4

Module 28 - Incident, Scaling & SDLC.chapters.txt

215. Governance for Procurement and Vendors.m4a

214. Embedding Governance in the SDLC.m4a

213. Scaling Governance Across the Enterprise.m4a

212. Post-Incident Review and Learning.m4a

211. AI Incident Management End to End.m4a

216. Change Management for AI Systems.m4a

Module 29 - Rhythm, Coordination & Automation (Chapters 217–224)

Module 29 - Rhythm, Coordination & Automation.mp4

Module 29 - Rhythm, Coordination & Automation.chapters.txt

217. The Governance Operating Rhythm.m4a

220. Governance Workflow Automation.m4a

221. Managing the Risk Register.m4a

222. Continuous Compliance Monitoring.m4a

219. Self-Service and Delegated Governance.m4a

224. Stakeholder Communication and Engagement.m4a

218. Cross-Functional Coordination.m4a

223. Governance for Rapid Experimentation.m4a

Module 30 - Resourcing, Docs & Oversight (Chapters 225–230)

Module 30 - Resourcing, Docs & Oversight.mp4

Module 30 - Resourcing, Docs & Oversight.chapters.txt

226. Governance Documentation Systems.m4a

227. Operationalizing Human Oversight.m4a

228. Managing Model Inventories at Scale.m4a

230. Operations Capstone - Running the Function.m4a

225. Resourcing and Capacity Planning.m4a

229. Service-Level and Performance Management.m4a

Module 31 - Operations - Advanced Track (Chapters 231–260)

Module 31 - Operations - Advanced Track.mp4

Module 31 - Operations - Advanced Track.chapters.txt

238. Audit Readiness and Evidence Management - Advanced.m4a

233. Running an AI Governance Committee - Advanced.m4a

239. Policy and Standard Authoring - Advanced.m4a

242. Post-Incident Review and Learning - Advanced.m4a

231. The AI Use-Case Lifecycle in Operation - Advanced.m4a

250. Governance Workflow Automation - Advanced.m4a

256. Governance Documentation Systems - Advanced.m4a

243. Scaling Governance Across the Enterprise - Advanced.m4a

232. Designing the Intake Process - Advanced.m4a

244. Embedding Governance in the SDLC - Advanced.m4a

234. Decision Rights and Escalation in Practice - Advanced.m4a

245. Governance for Procurement and Vendors - Advanced.m4a

247. The Governance Operating Rhythm - Advanced.m4a

255. Resourcing and Capacity Planning - Advanced.m4a

240. Training and Culture Change - Advanced.m4a

241. AI Incident Management End to End - Advanced.m4a

246. Change Management for AI Systems - Advanced.m4a

248. Cross-Functional Coordination - Advanced.m4a

257. Operationalizing Human Oversight - Advanced.m4a

259. Service-Level and Performance Management - Advanced.m4a

235. Governance Tooling and the GRC Stack - Advanced.m4a

237. Board and Executive Reporting - Advanced.m4a

252. Continuous Compliance Monitoring - Advanced.m4a

258. Managing Model Inventories at Scale - Advanced.m4a

236. Metrics, KPIs, and Dashboards - Advanced.m4a

251. Managing the Risk Register - Advanced.m4a

260. Operations Capstone - Running the Function - Advanced.m4a

253. Governance for Rapid Experimentation - Advanced.m4a

249. Self-Service and Delegated Governance - Advanced.m4a

254. Stakeholder Communication and Engagement - Advanced.m4a

Module 32 - Operations - Applied Track (Chapters 261–290)

Module 32 - Operations - Applied Track.mp4

Module 32 - Operations - Applied Track.chapters.txt

280. Governance Workflow Automation - Applied.m4a

263. Running an AI Governance Committee - Applied.m4a

273. Scaling Governance Across the Enterprise - Applied.m4a

269. Policy and Standard Authoring - Applied.m4a

274. Embedding Governance in the SDLC - Applied.m4a

283. Governance for Rapid Experimentation - Applied.m4a

265. Governance Tooling and the GRC Stack - Applied.m4a

281. Managing the Risk Register - Applied.m4a

272. Post-Incident Review and Learning - Applied.m4a

268. Audit Readiness and Evidence Management - Applied.m4a

261. The AI Use-Case Lifecycle in Operation - Applied.m4a

267. Board and Executive Reporting - Applied.m4a

262. Designing the Intake Process - Applied.m4a

266. Metrics, KPIs, and Dashboards - Applied.m4a

275. Governance for Procurement and Vendors - Applied.m4a

279. Self-Service and Delegated Governance - Applied.m4a

277. The Governance Operating Rhythm - Applied.m4a

290. Operations Capstone - Running the Function - Applied.m4a

286. Governance Documentation Systems - Applied.m4a

285. Resourcing and Capacity Planning - Applied.m4a

276. Change Management for AI Systems - Applied.m4a

271. AI Incident Management End to End - Applied.m4a

278. Cross-Functional Coordination - Applied.m4a

288. Managing Model Inventories at Scale - Applied.m4a

287. Operationalizing Human Oversight - Applied.m4a

289. Service-Level and Performance Management - Applied.m4a

270. Training and Culture Change - Applied.m4a

284. Stakeholder Communication and Engagement - Applied.m4a

264. Decision Rights and Escalation in Practice - Applied.m4a

282. Continuous Compliance Monitoring - Applied.m4a