Professional foundations · Free · Self-paced

AI Governance Foundations

From Organizational Authority to Governable AI Systems

Learn how organizations translate AI governance from principles and policies into explicit authority, enforceable controls, bounded machine action, evidence, and accountability.

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16 lessons5 parts16–20 hoursObjective assessmentsCertificate of Completion

AI governance becomes real when organizational authority is translated into bounded machine authority, enforceable controls, and evidence that those controls operated as intended.
AI governance governs the conditions under which intelligence is allowed to affect the world.

What you will be able to do

Move from awareness-level governance to a coherent system of authority, controls, evidence, and lifecycle assurance.

Allocate decision rights and accountability

Inventory complete AI systems and dependencies

Classify risk and assess impact

Translate policy into testable controls

Bound delegated machine authority

Design meaningful human oversight

Govern evaluation, provenance, change, and incidents

Build an enterprise governance operating model

Five parts.
Sixteen lessons.

Visitors can inspect the curriculum before registration. Full lessons are available after enrollment.

Part 1 — Foundations of AI Governance

01What AI Governance Actually Governs45–60 min

02Decision Rights, Accountability and Organizational Authority55–70 min

03AI System Inventory: The Governance Control Surface50–65 min

04Risk Classification and AI Impact Assessment55–70 min

Part 2 — From Governance Intent to Controls

05Control Objectives: Translating Policy into Testable System Invariants55–70 min

06Policy-as-Code: The Compilation Layer55–70 min

07Exceptions, Segregation of Duties and Control Independence50–65 min

Part 3 — Governing Machine Authority

08Delegated Authority and Execution Boundaries60–75 min

09The Agent Control Plane: Runtime Enforcement of Machine Authority60–75 min

10Human Oversight and Meaningful Intervention50–65 min

11Third-Party AI Dependency Governance55–70 min

Part 4 — Evidence and Assurance

12Evaluation Governance: Who Gets to Define ‘Good Enough’?60–75 min

13Provenance, Traceability and Governance Evidence55–70 min

14Continuous Assurance, Change and Incident Governance60–75 min

Part 5 — Enterprise AI Governance Operating Model

15Designing the Enterprise AI Governance Operating Model60–75 min

16Governance-by-Design and Framework Integration60–75 min

Assessment that teaches.

Each lesson includes a required automatically graded knowledge check. After all sixteen checks, a 40-question final assessment requires 80%. Retries are allowed. There is no capstone or manual grading.

This is a Certificate of Completion—not an accredited personnel certification or a claim of professional certification.

Frameworks in context

Course connections include ISO/IEC 22989, 42001, 23894, and 42005; NIST AI RMF; OECD AI Principles; and the EU AI Act. The program is not organized as an exam-preparation course. It begins with governance concepts and system behavior, then integrates frameworks.