IBM

AI Governance, Risk, and Executive Communication

IBM

AI Governance, Risk, and Executive Communication

LearnQuest Network

Instructor: LearnQuest Network

Access provided by National Open University of Nigeria

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply AI governance frameworks, such as NIST AI RMF, ISO/IEC 42001, and the EU AI Act, so responsibility is designed in from the start.

  • Identify and mitigate model, data, regulatory, third-party, and agentic AI risks in a governance and risk plan.

  • Test whether a human-review control can be performed at the volume a reviewer faces, then redesign or reject it.

  • Communicate AI strategy to executives, including how to deliver an unwelcome finding early, plainly, and actionably.

Details to know

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Assessments

4 assignments

Taught in English

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This course is part of the IBM Enterprise AI Transformation and Consulting Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

This module develops practical AI governance and ethics skills for enterprise AI deployment. Learners examine AI governance frameworks, responsible AI policy, AI ethics for business leaders, AI risk classification, high-risk AI systems, AI risk management, AI management-system standards, human oversight controls, AI monitoring and escalation, data boundary policy, bias evaluation, and AI accountability. The module distinguishes voluntary risk frameworks, certifiable management-system standards, and binding law by the questions they answer. Learners also connect risk classification to concrete governance obligations, test whether human review can operate at real volumes, and document governance decisions so reasoning, ownership, controls, monitoring, escalation, and gaps remain traceable and defensible.

What's included

8 videos1 assignment6 plugins

This module builds practical AI risk management skills for professionals who assess, govern, and audit enterprise AI. Learners identify and mitigate AI risk across the full deployment lifecycle, covering model risk, data risk, regulatory risk, third-party and AI vendor risk, and the distinctive risks of agentic and autonomous AI systems that act without review. They classify AI systems under high-risk frameworks such as the EU AI Act and the NIST AI Risk Management Framework, turn broad risk categories into specific failures, and design guardrails, approval gates, and escalation paths that a team can build. The module then tests the control most plans leave unexamined: whether a human reviewer can actually perform human-in-the-loop oversight at real volume. The result is an AI governance and risk plan that supports audit readiness, AI monitoring, and responsible enterprise AI deployment.

What's included

11 videos1 assignment9 plugins

This module develops executive communication skills for AI strategy and AI consulting: how to present AI recommendations to leadership, communicate AI risk to executives and boards, and deliver an unwelcome finding while the decision is still open. Learners examine why analysis loses its substance as it travels up an organization. They then practice the moves that keep it intact: writing answer-first, resolving a recommendation before drafting it, naming the specific decision requested, and separating evidence from inference. The module also covers explainability for non-technical audiences, human oversight, AI governance communication, and the point where transparency becomes a legal obligation. Learners draft a decision-ready executive recommendation for a realistic organization and test whether its oversight claims commit anyone to anything.

What's included

7 videos1 assignment5 plugins

Executive communication and strategic storytelling are core consulting skills in AI strategy and digital transformation. This module teaches advisory integration: bringing separately written deliverables, such as an opportunity assessment, readiness assessment, AI transformation roadmap, ROI business case, and governance and risk plan, into one executive narrative. Learners practice cross-document consistency checks, finding contradictions between deliverables, and tracing commitments such as human review controls across cost, schedule, and governance. They then build an answer-first briefing with a clear storyline and a single board-level recommendation that a steering committee can act on. The module strengthens synthesis, stakeholder alignment, and decision-support skills for consultants, business analysts, and transformation leads, and it is a guided rehearsal that produces no separate package.

What's included

7 videos1 assignment5 plugins

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Instructor

LearnQuest Network
237 Courses1,039,350 learners

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IBM

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