Udemy - ISO 42001 Lead Auditor

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Free Download Udemy - ISO 42001 Lead Auditor
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.62 GB | Duration: 3h 28m
Audit AI Governance Systems Step by Step | ISO/IEC 42001 | Risk | Ethics | Bias | Templates | Real Case Studies

What you'll learn
Conduct ISO/IEC 42001 audits from planning to reporting
Identify AI-specific risks and nonconformities in audits
Evaluate AI ethics, bias mitigation, and governance controls
Use real-world templates to complete AI audit exercises
Requirements
Knowledge of ISO 42001
Description
Are you ready to lead AI audits with confidence and align your organization with ISO/IEC 42001?This course will guide you step by step through the entire ISO 42001 AI governance audit process, using practical examples, hands-on exercises, and professional templates. Whether you're an AI compliance officer, internal auditor, governance specialist, or simply interested in AI risk management, this course is designed to give you the tools and knowledge to become a certified and confident ISO 42001 Lead Auditor.What you will learn:How to conduct ISO/IEC 42001 audits from preparation to follow-upIdentify and address AI-specific risks, nonconformities, and compliance gapsEvaluate AI bias, fairness, ethics, and security governance controlsApply audit techniques using real-world templates, checklists, and reporting toolsWhy this course?With the rise of AI in critical systems-from healthcare to transportation-organizations must ensure that their AI solutions are safe, fair, explainable, and compliant with emerging international standards. ISO 42001 is the world's first AI Management System standard, and this course is tailored to help professionals audit it effectively.We use a model company throughout the course to demonstrate each audit step in context-no dry theory. Each concept is made practical, with exercises that help you build real auditing experience. Assignments include scenarios based on a second model company, so you can apply your skills to new challenges.You will also receive downloadable templates, including audit checklists, stakeholder interview guides, risk assessment forms, and reporting formats.Who is this course for?AI governance and compliance professionalsInternal and lead auditors transitioning into AI auditingRisk managers and ethics officers working with AI systemsAI developers and data scientists involved in AI lifecycle complianceWhether you're preparing for a professional certification, a regulatory audit, or simply want to take the lead in AI governance, this course will give you the structure and skills to succeed.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Our Use Case - NeuroVista Technologies
Section 2: Introduction to the Artificial Intelligence Management System & ISO/IEC 42001
Lecture 3 Introduction to the AIMS & ISO-IEC 42001
Section 3: Overview of ISO 42001
Lecture 4 ISO 42001 Structure
Lecture 5 Clause 4 - Context of the Organization
Lecture 6 Clause 5 - Leadership
Lecture 7 Clause 6 - Planning
Lecture 8 Clause 7 - Support
Lecture 9 Clause 8 - Operation
Lecture 10 Clause 9 - Performance Evaluation
Lecture 11 Clause 10 - Improvement
Section 4: Step 2: Audit Preparation & Planning
Lecture 12 Core Principles Of Auditing (Integrity, Objectivity, Confidentiality
Lecture 13 Understanding The Risk-Based Approach In AI Auditing
Lecture 14 Ethical Considerations & Bias Detection In AI Audits
Lecture 15 AI Auditing Techniques & Evidence Gathering Strategies
Section 5: Step 3: Initiation of an AI Audit
Lecture 16 Step 2 - Audit Preparation & Planning
Lecture 17 Establishing Audit Objectives & Scope
Lecture 18 Our Use Case for Assignments - AutoVision AI
Lecture 19 Identifying Relevant AI Governance Controls
Lecture 20 Preparing Audit Checklists & Questionnaires
Lecture 21 Allocating Resources & Scheduling AI Audits
Section 6: Step 3: Initiating the Audit
Lecture 22 Step 3 - Initiation of an AI Audit
Lecture 23 Conducting The Opening Meeting
Lecture 24 Reviewing AI Policies, Risk Assessments & Documentation
Lecture 25 Evaluating AI Model Lifecycle Compliance
Lecture 26 Interviewing Key Stakeholders
Section 7: Step 4: On-Site Audit Activities
Lecture 27 Step4: On-Site Audit Activities
Lecture 28 Assessing AI System Governance & Security Controls
Lecture 29 Reviewing AI Model Transparency & Explainability Standards
Lecture 30 Evaluating Bias, Fairness, And Ethical AI Practices
Section 8: Step 5: Identifying Nonconformities & Audit Reporting
Lecture 31 Step 5 - Identifying Nonconformities & Audit Reporting
Lecture 32 Categorizing Major & Minor Nonconformities
Lecture 33 Writing Clear & Actionable Audit Findings
Lecture 34 Recommending Corrective Actions & Improvements
Lecture 35 Preparing The Audit Report & Communicating Results
Section 9: Step 6: Closing The Audit & Follow-Up Actions
Lecture 36 Step 6 - Closing The Audit & Follow-Up Actions
Lecture 37 Conducting The Audit Closing Meeting
Lecture 38 Addressing Audit Findings & Corrective Action Implementation
Lecture 39 Monitoring Continuous Improvement In AI Governance
Section 10: Conclusion
Lecture 40 Conclusion
AI compliance officers, internal auditors, risk managers, and professionals involved in AI governance and responsible AI practices

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