ISO/IEC 420012023 AIMS Lead Implementer Masterclass

What you'll learn

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1. Implement ISO/IEC 42001:2023 Requirements

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from Clauses 4-10 and build a complete, certification-ready AI Management System.
2. Implement all 38 Annex A controls and develop a defensible Statement of Applicability supported by implementation evidence.
3. Conduct AIMS gap, risk and AI impact assessments, prioritize findings, and develop a structured implementation action plan.
4. Build AIMS policies, procedures, registers, templates and documented information needed to operate and evidence the system.
5. Govern the AI system life cycle, including data, development, verification, deployment, monitoring, oversight and third parties.
6. Establish monitoring, internal audit, management review, corrective action and continual improvement processes for an AIMS.
7. Prepare an organization for ISO/IEC 42001 Stage 1 and Stage 2 certification audits and understand the certification process.
8. Apply the complete implementation methodology through a realistic end-to-end AIMS implementation and certification simulation.
Requirements

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* No prior knowledge of ISO/IEC 42001 is required.
* No prior AI or machine-learning expertise is required.
* No previous ISO management system experience is required.
* A willingness to learn how AI governance and management systems are implemented in practice.
Description

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ISO/IEC 42001:2023 AIMS Lead Implementer Masterclass
This course contains the use of artificial intelligence.
There is a difference between studying a standard and building a system. Most training explains what a clause says. Far fewer courses show you how to turn that clause into a policy, a register, a Statement of Applicability, and an audit trail that can withstand a certification audit.
This course is designed to close that gap.
This is a complete ISO/IEC 42001:2023 AIMS Lead Implementer programme, structured section by section from AI fundamentals through implementation and certification readiness, with a full implementation case study in which an AI management system is taken from a blank page through to a successful certification audit.
The course begins at first principles. You learn what artificial intelligence actually is - systems, models, data and the AI life cycle - how AI creates risks and impacts that organizations need to govern, and how ISO/IEC 42001:2023 addresses them through the Harmonized Structure, the PDCA model and a certifiable AI management system. No prior AI expertise and no prior ISO experience are required.
From there, the course works through every requirement of ISO/IEC 42001:2023, Clauses 4 to 10, as a generic, organization-neutral implementation guide: what each clause requires, how to implement it step by step, the documented information it produces, what auditors will look for as evidence, and the mistakes implementers most often make - with an implementer's perspective and a scenario knowledge check closing every clause.
The control layer follows: all 38 Annex A controls across the nine control domains - AI policies, internal organization, resources, impact assessment, the AI system life cycle, data, information for interested parties, responsible use, and third-party and customer relationships - each with its purpose and implementation approach, culminating in the Statement of Applicability.
The course then moves from understanding to construction. You conduct a structured AIMS gap analysis using the MSM Academy AIMS Gap Analysis Tool, a working Excel tool included with the course. You score and prioritize gaps and build a resourced implementation action plan. You then build the documentation the AIMS actually runs on: the documentation architecture, mandatory versus organization-determined documented information, document control, and a complete AIMS documentation master list spanning policies, procedures, SOPs, templates and guidelines.
Performance evaluation and improvement follow - monitoring and measurement, the internal AIMS audit conducted using the ISO 19011 audit method, management review, nonconformity and corrective action - followed by the road to certification: Stage 1, Stage 2, findings, the certification decision and the surveillance cycle.
Then the course moves into full application. Across a 16-lesson implementation simulation, you follow a complete AIMS implementation inside Nexus Financial Services, a realistic digital financial-services organization with multiple AI systems and third-party dependencies. The implementation runs from engagement kickoff and context through impact and risk assessment, the Statement of Applicability, life-cycle governance, data management, operational control, monitoring, internal audit, management review and corrective action, all the way to the certification audit itself - experienced from the implementer's side of the table.
The course closes with your Certificate of Completion, followed by the final assessment: two 40-question practice exams written in certification-exam style, with full explanations for every option, plus section knowledge checks throughout the course.
Upon successful completion, learners receive a Certificate of Completion from MSM Academy recognizing their participation in ISO/IEC 42001:2023 AIMS Lead Implementer training.
What You Will Learn

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- Understand AI systems, models, data and the AI life cycle - as a manager, not a mathematician
- Interpret every requirement of ISO/IEC 42001:2023 from an implementation and audit-evidence perspective
- Apply a structured, repeatable implementation methodology to each clause
- Conduct AI system impact assessments on individuals, groups and society
- Determine AI risks and opportunities and set measurable AIMS objectives
- Implement all 38 Annex A controls and build a defensible Statement of Applicability
- Conduct an AIMS gap analysis, score and prioritize gaps, and defend your findings
- Develop a resourced, time-bound implementation action plan with owners and milestones
- Build a complete AIMS documentation package - policies, procedures, registers and templates
- Govern the AI system life cycle: development objectives, verification and validation, deployment approval, operation, monitoring and event logging
- Manage data for AI systems - acquisition, quality, provenance and preparation
- Govern third-party AI services and allocate responsibilities across the supply chain
- Establish monitoring, measurement and performance evaluation processes
- Design and run an internal AIMS audit programme and manage nonconformities effectively
- Lead a management review that produces decisions rather than simply recording discussion
- Prepare an organization for Stage 1 and Stage 2 certification audits
Who this course is for

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- AI Governance, Risk and Compliance professionals
- Quality, QHSE and management system professionals extending into AI governance
- CIOs, CTOs, CAIOs, Data and AI leaders responsible for responsible-AI programmes
- Data scientists and ML engineers who need the governance layer around their work
- ISO consultants and implementers adding ISO/IEC 42001 to their portfolio
- Internal auditors moving into AIMS implementation work
- Compliance and regulatory affairs professionals preparing for AI regulation
- Managers integrating ISO/IEC 42001 with existing ISO 9001 or ISO/IEC 27001 management systems
- Graduates and career changers entering AI governance
- Anyone responsible for implementing an AIMS and preparing an organization for certification
Course Includes
- Structured sections from AI fundamentals to certification
- Clause-by-clause implementation guidance for ISO/IEC 42001:2023, Clauses 4-10
- All 38 Annex A controls across the nine control domains
- A 16-lesson complete AIMS implementation simulation based on a realistic organization
- The MSM Academy AIMS Gap Analysis Tool - a working Excel implementation tool
- A complete AIMS documentation master list - policies, procedures, SOPs, templates and guidelines
- Worked simulation deliverables
- Section knowledge checks
- Two 40-question practice exams with full explanations
- able learning resources
- Certificate of Completion
- Lifetime access, including future updates to the course materials
AI Usage Disclosure: Portions of this course were created with the assistance of artificial intelligence (AI) tools. AI-generated text-to-speech technology is used for course narration. All instructional content, course structure, learning objectives, technical explanations, examples, implementation guidance, simulations, and educational materials have been developed, reviewed, and validated by the course author to ensure technical accuracy and educational quality.
Who this course is for

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* AI Governance, Risk and Compliance professionals responsible for implementing or strengthening AI governance
* ISO consultants and management system implementers adding ISO/IEC 42001 to their professional portfolio
* Quality, QHSE and management system professionals expanding into AI management and governance
* CIOs, CTOs, CAIOs, Data and AI leaders responsible for AI governance and responsible AI programmes
* Data scientists, ML engineers and AI professionals who need to understand the governance framework around AI systems
* Internal auditors, compliance and regulatory professionals moving into AIMS implementation and assurance
* Managers integrating ISO/IEC 42001 with existing ISO 9001, ISO/IEC 27001 or other management systems
* Professionals preparing their organization for ISO/IEC 42001 implementation and certification
* Graduates and career changers seeking practical skills for a career in AI governance and management systems
Homepage

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