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 专项课程

Responsible AI Governance with ISO Standards.

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

位教师：BSI Training Academy

包含在中

了解更多

5 门课程系列

深入学习学科知识

初级等级

无需具备相关经验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

5 门课程系列

深入学习学科知识

初级等级

无需具备相关经验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

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可分享的证书

添加到您的领英档案

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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精进特定领域的专业知识

向大学和行业专家学习热门技能
借助实践项目精通一门科目或一个工具
培养对关键概念的深入理解
通过 British Standards Institution 获得职业证书

专业化 - 5门课程系列

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.

应用的学习项目

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

第 1 门课程, 小时

您将学到什么

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.

您将获得的技能

类别：Artificial Intelligence

类别：AI literacy

类别：Responsible AI

类别：Governance

类别：Stakeholder Analysis

类别：Data Ethics

类别：Quality Management Systems

类别：Stakeholder Management

类别：Systems Development Life Cycle

类别：Risk Management

AI System Impact Assessment Guidance

第 2 门课程, 小时

您将学到什么

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.

您将获得的技能

类别：Risk Analysis

类别：Risk Management

类别：Responsible AI

类别：Social Impact

类别：Ethical Standards And Conduct

类别：Data Ethics

类别：Trustworthiness

类别：Technical Standard

类别：Risk Management Framework

类别：Governance Risk Management and Compliance

类别：AI Security

类别：Governance

类别：Data Governance

类别：Compliance Management

类别：Artificial Intelligence

类别：Information Privacy

类别：Accountability

类别：Accountability Frameworks

AI Management Essentials: Integrating ISO 42001 & ISO 23894

第 3 门课程, 小时

您将学到什么

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.

您将获得的技能

类别：Risk Management

类别：Regulatory Compliance

类别：Data Governance

类别：Compliance Management

类别：Risk Management Framework

类别：Artificial Intelligence

类别：Trustworthiness

类别：Data Ethics

类别：Risk Analysis

类别：Risk Mitigation

类别：Governance

类别：Data Quality

类别：Responsible AI

类别：Human Machine Interfaces

类别：Accountability Frameworks

Understanding the Foundations of the EU AI Act

第 4 门课程, 小时

您将学到什么

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.

您将获得的技能

类别：Regulatory Compliance

类别：Compliance Management

类别：Risk Analysis

类别：Artificial Intelligence

类别：Law, Regulation, and Compliance

类别：Data Ethics

类别：Risk Management

类别：Trustworthiness

类别：Regulation and Legal Compliance

类别：AI literacy

类别：Legal Risk

类别：Ethical Standards And Conduct

类别：Responsible AI

类别：Compliance Training

类别：Governance Risk Management and Compliance

类别：Regulatory Requirements

Approaches to Establish Trust in AI Systems

第 5 门课程, 小时

您将学到什么

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.

您将获得的技能

类别：Responsible AI

类别：AI Security

类别：Risk Management Framework

类别：Artificial Intelligence

类别：Governance

类别：Risk Management

类别：Regulatory Compliance

类别：Continuous Monitoring

类别：Data Ethics

类别：Vulnerability Assessments

类别：AI literacy

类别：Model Evaluation

类别：Trustworthiness

类别：Policy Development

类别：Ethical Standards And Conduct

类别：Software Quality Assurance

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位教师

BSI Training Academy

British Standards Institution

5 门课程486 名学生

提供方

British Standards Institution

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常见问题

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.