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ISO 42001 AIMS Implementation: AI Risk, Controls & Audit (강좌)

Gap Analysis, AI Policy, Control Design, Internal Audit & Certification Prep | 16 Steps with Templates

모든 레벨 • 27 강의 • 평생 이용권
Dr. Amar Massoud

검증된 마스터 강사

ISO 42001 AIMS Implementation: AI Risk, Controls & Audit
트레일러
강사를 만나세요: Dr. Amar Massoud

19 ms

5.0 / 5.0
글로벌 평가
영어(미국)
99개 언어 자막
1시간 34분
총 내용

무엇을 배울 것인가

Teach a structured, step-by-step approach to implementing ISO 42001.
Provide actionable steps to ensure ethical AI practices and regulatory compliance.
Equip participants with practical templates for risk management, governance frameworks, and control selection.
Offer real-world case studies and best practices for achieving ISO 42001 certification.

코스 내용

7 섹션 • 27 강의 • 01:34:54 총 길이

Introduction

05:18

Implement ISO 42001 step by step with templates to build an AI management system focused on governance, risk, ethics, data privacy, security, and compliance.

Our Use Case - SmartVision Technologies Ltd

02:28

ISO 42001 Structure

02:27

Clause 4 - Context of the Organization

02:11

Clause 5 - Leadership & Clause 6 - Planning

03:46

Clause 7 - Support and Clause 8 - Operation

03:52

Implement ISO 42001 step by step with templates to secure resources, training, and clear communication for AI governance, with real-time monitoring and GDPR-aligned operations.

Clause 9 - Performance Evaluation & Clause 10 - Improvement

03:36

Defining Organizational Context and Scope

02:41

Step 1 - Understanding the Organization and its Context

03:13

Step 2 - Defining the Scope of AIMS

03:10

Step 3 - Conducting an AI Gap Analysis

04:16

Conduct an AI gap analysis to compare your current AI governance with ISO 42,001, identify gaps in risk management, data handling, and ethical AI use, and prioritize improvements.

Step 4 - Developing the AI Policy

04:21

Develop and implement an AI policy that aligns with Smartvision Technologies Limited's long-term strategy, embedding fairness, transparency, and accountability across data, development, governance, cross-functional collaboration, and GDPR compliance.

Step 5 - AI Risk Management

07:08

Step 6 - Control Selection

04:04
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요구사항

Basic understanding of Artificial Intelligence concepts is helpful.

Familiarity with management systems or ISO standards is beneficial.

No prior ISO/IEC 42001 implementation experience is required.

Interest in AI governance, compliance, and risk management.

대상 고객

AI Project Managers

Compliance Officers

Risk Managers

IT/Data Science Professionals

이 코스에 대하여

Are you ready to master the implementation of AI governance with ISO 42001? In this comprehensive, step-by-step course, you'll learn how to establish an effective Artificial Intelligence Management System (AIMS) that ensures ethical AI practices, regulatory compliance, and operational efficiency. Perfect for professionals in AI development, compliance, and governance, this course breaks down the ISO 42001 standard into easy-to-follow steps.
You’ll explore key areas such as defining your organization’s context and scope, conducting gap analyses, crafting AI policies, and developing risk management strategies specific to AI technologies. You’ll also dive into designing and implementing controls, monitoring AI systems, and ensuring continuous improvement. By the end of the course, you’ll be fully prepared to conduct internal audits, manage AI operations, and successfully prepare for ISO 42001 certification.
Packed with practical templates, real-world examples, and expert guidance, this course gives you the tools to confidently build and manage AI systems that align with both business goals and regulatory standards. Whether you're new to AI governance or looking to refine your existing systems, this course will equip you with actionable strategies that will make your organization a leader in responsible AI.
Join us today and take the next step toward ensuring your AI systems are compliant, secure, and ethically sound. No prerequisites required—familiarity with AI and ISO standards is a plus!

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Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

예상 평균 연봉
$90,000 – $145,000 / yr
글로벌 시장 수요

High Global Tech Demand

습득하게 되는 핵심 실무 역량
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* 글로벌 IT 채용 벤치마크 및 산업별 급여 보고서를 바탕으로 한 추정치입니다.
강사 소개
Dr. Amar Massoud
5.0 평가
5 학생
프로필 전체 보기
Dr. Amar Massoud
메인 강사
PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as : ITIL 4 Master, ITIL 3 Expert ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA PGMP, MSP PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master COBIT 2019 Implementor, COBIT 5 Assessor/Implementer TOGAF certified Lean Specialist, VSM Specialist PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor PMI-PBA, CBAP Lean Six Sigma Black Belt, ISO 9001 Implementer Azure Administrator, Azure DevOps Expert, AWS Practitioner And many more....

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