AI management system (AIMS) Explained
Master the ISO/IEC 42001 requirements and all 38 Annex A controls for AI governance, risk and compliance
Lo que serás capaz de hacer
ISO/IEC 42001 is the first international standard for an Artificial Intelligence Management System (AIMS) . It defines the requirements for establishing, implementing, maintaining and continually improving a management system for the responsible development, provision and use of AI — and it applies to any organization that develops, deploys or uses AI-based products or services, in any industry. This course gives you a complete, practical understanding of ISO/IEC 42001 : what the standard requires, how the AIMS works, and how organizations achieve compliance and certification. Who this course is for Professionals preparing for roles in AI governance, AI compliance or AI risk management Consultants and implementers building an AIMS for their organization or clients Auditors extending their skills from ISO 9001, ISO/IEC 27001 or other management system standards to ISO/IEC 42001 Managers, developers and data professionals who need to understand what responsible AI means in operational terms. The requirements of the standard, clause by clause The course follows the structure of ISO/IEC 42001 and walks you through the requirements in clauses 4 to 10: Context of the organization Leadership Planning Support Operation Performance evaluation Improvement A deep dive into all 38 Annex A controls Each of the 38 controls in Annex A of ISO/IEC 42001 is explained in a dedicated video — what the standard requires and how compliance can be demonstrated in real-world scenarios. The controls are grouped into 9 categories: Policies related to AI Internal organization Resources for AI systems AI system impact assessment AI system life cycle Data for AI systems Information for interested parties Use of AI systems Third-party and customer relationships Together, these controls cover the full scope of AI governance: data quality and provenance, transparency and explainability, communication with interested parties, and the impact of AI systems on individuals and society. From theory to practice You'll learn how to connect the requirements of ISO/IEC 42001 to everyday practice, with detailed examples of how organizations develop, deploy and manage AI systems responsibly. We break down the key components of an AIMS: AI risk assessments AI system impact assessments The Statement of Applicability AI policies and objectives Internal audits Management reviews Handling nonconformities Why ISO/IEC 42001 matters for your career AI regulation and governance frameworks — including the EU AI Act — are making structured AI management a requirement rather than an option. Organizations pursuing ISO/IEC 42001 certification need people who understand the standard, and that demand is growing faster than the supply of qualified professionals. Enroll today to gain a complete, actionable understanding of ISO/IEC 42001 — and position yourself at the forefront of responsible AI. This course contains a promotion.
- What is an artificial intelligence management system
- What is responsible AI and why it matters
- Principles of AI governance
- Requirements and guidelines for an AIMS
- Key aspects of ISO/IEC 42001 implementation
- AI controls to consider for responsible AI
Temario
UNIDAD 1 - Introduction · 6 leccionesUNIDAD 1 - Introduction
UNIDAD 1 - Introduction
- Introduction
- Artificial intelligence management system
- About ISO/IEC 42001 and some related standards
- Certification to ISO/IEC 42001
- Responsible AI
- AI system life cycle
UNIDAD 2 - Context of the organization (clause 4 of iSO/IEC 42001) · 5 leccionesUNIDAD 2 - Context of the organization (clause 4 of iSO/IEC 42001)
UNIDAD 2 - Context of the organization (clause 4 of iSO/IEC 42001)
- Understanding the organization and its context part 1 (4.1)
- Understanding the organization and its context part 2 (4.1)
- Understanding the needs and expectations of interested parties (4.2)
- Determining the scope of the AI management system (4.3)
- AI management system (4.4)
UNIDAD 3 - Leadership (clause 5 of ISO/IEC 42001) · 3 leccionesUNIDAD 3 - Leadership (clause 5 of ISO/IEC 42001)
UNIDAD 3 - Leadership (clause 5 of ISO/IEC 42001)
- Leadership and commitment (5.1)
- AI policy (5.2)
- Roles, responsibilities and authorities (5.3)
UNIDAD 4 - Planning (clause 6 of ISO/IEC 42001) · 9 leccionesUNIDAD 4 - Planning (clause 6 of ISO/IEC 42001)
UNIDAD 4 - Planning (clause 6 of ISO/IEC 42001)
- Risks, opportunities and actions to address them (6.1)
- AI risk assessment part 1 (6.1.2)
- AI risk assessment part 2 (6.1.2)
- AI risk treatment part 1 (6.1.3)
- AI risk treatment part 2 (6.1.3)
- AI system impact assessment (6.1.4)
- AI System Impact Assessment Brainstorming
- AI system objectives and planning to achieve them (6.2)
- Planning of changes (6.3)
UNIDAD 5 - Support (clause 7 of ISO/IEC 42001) · 6 leccionesUNIDAD 5 - Support (clause 7 of ISO/IEC 42001)
UNIDAD 5 - Support (clause 7 of ISO/IEC 42001)
- Resources (7.1)
- Competence (7.2)
- Awareness (7.3)
- Communication (7.4)
- The documentation of the AI management system (7.5.1)
- Creating, updating and controlling documented information (7.5.2 and 7.5.3)
UNIDAD 6 - Operation (clause 8 of ISO/IEC 42001) · 2 leccionesUNIDAD 6 - Operation (clause 8 of ISO/IEC 42001)
UNIDAD 6 - Operation (clause 8 of ISO/IEC 42001)
- Operational planning and control (8.1)
- AI risk assessment and treatment. AI system impact assessment (8.2, 8.3 and 8.4)
UNIDAD 7 - Performance evaluation (clause 9 of ISO/IEC 42001) · 3 leccionesUNIDAD 7 - Performance evaluation (clause 9 of ISO/IEC 42001)
UNIDAD 7 - Performance evaluation (clause 9 of ISO/IEC 42001)
- Monitoring, measurement, analysis and performance evaluation (9.1)
- Internal audit (9.2)
- Management review (9.3)
UNIDAD 8 - Improvement (clause 10 of ISO/IEC 42001) · 2 leccionesUNIDAD 8 - Improvement (clause 10 of ISO/IEC 42001)
UNIDAD 8 - Improvement (clause 10 of ISO/IEC 42001)
- Continual improvement (10.1)
- Nonconformity and corrective action (10.2)
UNIDAD 9 - Policies related to AI (A.2) · 4 leccionesUNIDAD 9 - Policies related to AI (A.2)
UNIDAD 9 - Policies related to AI (A.2)
- AI controls - generic aspects
- AI policy (A.2.2)
- Alignment with other organizational policies (A.2.3)
- Review of the AI policy (A.2.4)
UNIDAD 10 - Internal organization (A.3) · 2 leccionesUNIDAD 10 - Internal organization (A.3)
UNIDAD 10 - Internal organization (A.3)
- AI roles and responsibilities (A.3.2)
- Reporting of concerns (A.3.3)
UNIDAD 11 - Resources for AI systems (A.4) · 5 leccionesUNIDAD 11 - Resources for AI systems (A.4)
UNIDAD 11 - Resources for AI systems (A.4)
- Resource documentation (A.4.2)
- Data resources (A.4.3)
- Tooling resources (A.4.4)
- System and computing resources (A.4.5)
- Human resources (A.4.6)
UNIDAD 12 - Assessing impacts of AI systems (A.5) · 4 leccionesUNIDAD 12 - Assessing impacts of AI systems (A.5)
UNIDAD 12 - Assessing impacts of AI systems (A.5)
- AI system impact assessment process (A.5.2)
- Documentation of AI system impact assessments (A.5.3)
- Assessing AI system impact on individuals or groups of individuals (A.5.4)
- Assessing societal impacts of AI systems (A.5.5)
UNIDAD 13 - AI system life cycle (A.6) · 9 leccionesUNIDAD 13 - AI system life cycle (A.6)
UNIDAD 13 - AI system life cycle (A.6)
- Objectives for responsible development of AI system (A.6.1.2)
- Processes for responsible AI system design and development (A.6.1.3)
- AI system requirements and specification (A.6.2.2)
- Documentation of AI system design and development (A.6.2.3)
- AI system verification and validation (A.6.2.4)
- AI system deployment (A.6.2.5)
- AI system operation and monitoring (A.6.2.6)
- AI system technical documentation (A.6.2.7)
- AI system recording of event logs (A.6.2.8)
UNIDAD 14 - Data for AI systems (A.7) · 5 leccionesUNIDAD 14 - Data for AI systems (A.7)
UNIDAD 14 - Data for AI systems (A.7)
- Data for development and enhancement of AI system (A.7.2)
- Acquisition of data (A.7.3)
- Quality of data for AI systems (A.7.4)
- Data provenance (A.7.5)
- Data preparation (A.7.6)
UNIDAD 15 - Information for interested parties of AI systems (A.8) · 4 leccionesUNIDAD 15 - Information for interested parties of AI systems (A.8)
UNIDAD 15 - Information for interested parties of AI systems (A.8)
- System documentation and information for users (A.8.2)
- External reporting (A.8.3)
- Communication of incidents (A.8.4)
- Information for interested parties (A.8.5)
UNIDAD 16 - Use of AI systems (A.9) · 3 leccionesUNIDAD 16 - Use of AI systems (A.9)
UNIDAD 16 - Use of AI systems (A.9)
- Processes for responsible use of AI systems (A.9.2)
- Objectives for the responsible use of AI systems (A.9.3)
- Intended use of the AI system (A.9.4)
UNIDAD 17 - Third-party and customer relationships (A.10) · 3 leccionesUNIDAD 17 - Third-party and customer relationships (A.10)
UNIDAD 17 - Third-party and customer relationships (A.10)
- Allocating responsibilities (A.10.2)
- Suppliers (A.10.3)
- Customers (A.10.4)
UNIDAD 18 - Summary and closing remarks · 5 leccionesUNIDAD 18 - Summary and closing remarks
UNIDAD 18 - Summary and closing remarks
- Recapitulation of the AI controls in ISO/IEC 42001
- Some final considerations
- Thank you and good bye!
- Bonus lecture - My other Udemy courses
- ISO/IEC 42001 AIMS quiz
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
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- 1
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Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
18 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
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1 cuestionarios para comprobar lo aprendido.
- 4
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Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Cristian Vlad Lupa, rigcert.education.
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Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 18 unidades · 80 lecciones · 60 h
- 12 meses de acceso
- 1 cuestionarios de evaluación
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
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12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
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Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.


