161. Monitoring AI in Production - Applied.m4a

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AI Governance & Responsible AI

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

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

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

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

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

Module 06 - Foundations Capstone (Chapters 24–25)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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