Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

AI Governance & ISO 42001 Readiness for GRC, Audit, & Legal Specialization

Responsible AI Governance with ISO Standards.

Master AI governance, risk, and compliance aligned to ISO 42001 and the EU AI Act

Instructor: Hector Nemoto

Included with

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5 course series

Get in-depth knowledge of a subject

Beginner level

No prior experience required

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 course series

Get in-depth knowledge of a subject

Beginner level

No prior experience required

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand AI concepts, terminology, stakeholders, lifecycles, and governance basics, including ISO/IEC 42001.
Apply AI impact assessments, risk management, and compliance aligned with ISO standards and the EU AI Act.
Design and manage trustworthy, ethical AI by mitigating risks and addressing societal and organizational impacts.

Details to know

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Taught in English

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from British Standards Institution

Specialization - 5 course series

Built by BSI, a founding member of ISO and a leading global certification body, this specialization introduces you to the foundations of responsible AI governance, covering core AI concepts, the AI system life cycle, stakeholder impacts, and AI risk management aligned with international standards. You will develop practical understanding of AI impact assessments, AI risk management frameworks, and the purpose, structure, and benefits of ISO/IEC 42001, alongside regulatory and ethical considerations including the EU AI Act and trustworthy AI principles. By completion, you will be equipped to support organizational readiness for AI governance, ISO 42001 alignment, and effective AI management systems.

Applied Learning Project

The specialization includes applied, scenario-based activities in which you will use realistic prompts to develop and evaluate AI risk management frameworks, perform AI impact assessments and risk analyses, and assess trustworthiness measures aligned with ISO/IEC 42001 and related standards. Through these projects, you will apply AI governance, risk, and ethical principles to authentic organizational AI use cases, simulating real-world decision-making and readiness for responsible AI implementation.

ISO/IEC 22989:2023 An Introduction to the Fundamentals of AI

Course 1, 6 hours

What you'll learn

Understand AI fundamentals by explaining key concepts, principles, terms, definitions, and core system functions.
Describe the AI ecosystem by identifying key AI stakeholders, their roles, and the AI system life cycle model.
Recognize AI in practice by explaining common AI applications and how AI systems are used in real‑world contexts.

AI System Impact Assessment Guidance

Course 2, 3 hours

What you'll learn

Understand AISIA terminology, purpose and core elements within an AI risk management framework.
Explain how AISIA aligns with ISO/IEC 42001, ISO/IEC 23894, and the supporting role of ISO/IEC 42005 annexes.
Apply AI system impact assessments to identify, assess and manage AI risks across the system lifecycle.

AI Management Essentials: Integrating ISO 42001 & ISO 23894

Course 3, 5 hours

What you'll learn

Explain what AI is, why it matters, and how ISO/IEC 42001‑based AI management systems enable responsible organizational use.
Identify key AI governance concepts, processes, principles, structure, and terminology required by ISO/IEC 42001.
Develop and apply an AI risk management framework, including required documentation and risk analysis for a given scenario.

Understanding the Foundations of the EU AI Act

Course 4, 2 hours

What you'll learn

Explain the rationale for EU AI regulation and identify when the EU AI Act applies, based on its scope and territorial reach.
Assess whether a system qualifies as AI under Article 3(1) of the EU AI Act.
Differentiate the roles and responsibilities of AI providers and deployers under the EU AI Act.

Approaches to Establish Trust in AI Systems

Course 5, 4 hours

What you'll learn

Analyse factors influencing AI trustworthiness, including enhancement and evaluation approaches and their ethical and societal implications.
Assess how trustworthiness approaches are applied in AI systems, using methods to evaluate trust across different contexts.
Design and improve trustworthy AI by identifying vulnerabilities and implementing measures to mitigate risks.

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Hector Nemoto

British Standards Institution

5 Courses1 learner

Offered by

British Standards Institution

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Frequently asked questions

19 hours and 37 minutes

No background knowledge necessary

Yes, the correct order is:

ISO/IEC 22989:2023 An introduction to the fundamentals of AI
AI System Impact Assessment Guidance
AI Management Essentials: Integrating ISO 42001 and ISO 23894
Understanding the foundations of the EU AI Act
Approaches to Establish Trust in AI Systems

Upon completion of this specialization, you will be able to:

Comprehend terms and definitions associated with AI
Explain key AI concepts and principles
Identify the main AI stakeholders and their roles and describe the AI system life cycle model
Identify AI system functions
Explain AI applications
Comprehend the terms and definitions associated with AI system impact assessments
Explain the relationship between AI System Impact Assessments (AISIA), ISO/IEC 42001 and ISO/IEC 23894
Identify the elements of an AI system impact assessment
Describe how an AI system impact assessment fits within a risk management framework
Explain the purpose of the ISO/IEC 42005 annexes and how they support AI system impact assessments
Understand what AI is, why it matters, and how effective management — including an AI management system — helps your organization use AI responsibly
Identify key concepts, and processes
Identify key principles and structure
Explain the purpose and background of ISO/IEC 42001:2023
Understand the organizational importance of AI risk management and define and apply key terminology from the standard
Develop and evaluate an AI risk management framework and process
Identify the documents needed in a risk management file and perform a risk analysis based on a given prompt
Explain why the EU requires AI regulation
Determine whether a system meets the AI definition under Article 3(1)
Differentiate the roles and responsibilities of providers and deployers
Identify when the EU AI Act applies based on scope and territorial rules
Analyse the factors affecting trustworthiness in AI systems and understand existing approaches for enhancing trustworthiness
Assess the application of trustworthiness approaches to AI systems
Mitigate vulnerabilities in AI systems and improve their trustworthiness
Investigate approaches for evaluating trustworthiness and implement trustworthiness measures in AI system design and address the ethical and societal implications of trustworthy AI

This course is for professionals involved in the use, governance, risk, or oversight of AI systems who want to understand how to manage AI responsibly and prepare for ISO/IEC 42001.

It is suitable for managers, governance, risk and compliance professionals, technical and non‑technical roles involved in AI, and anyone at an early stage of their AI governance and AI management system journey. No deep technical AI knowledge is required.