ISO/IEC 42001 AI Governance and Implementation Bootcamp

Learn to implement ISO/IEC 42001 AI governance standards through this comprehensive bootcamp session that breaks down the practical reality of establishing AI Management Systems (AIMS) within organizations. Master the five core AI governance principles of accountability, transparency, fairness, safety, and balanced innovation while understanding why AI governance matters in addressing bias, misinformation, misuse, and trust issues. Explore the complete ISO/IEC 42001 structure including clauses, annexes, and the PDCA cycle, then follow a systematic 4-phase AIMS implementation approach covering gap analysis, planning, implementation, and verification. Define your organization's role as an AI provider, producer, customer, partner, subject, or authority, and develop essential project charter components including scope definition, context analysis, and interested party identification. Develop expertise in risk assessment methodology by learning to evaluate likelihood and impact while setting criteria based on organizational context, and distinguish between risk assessments focused on business risk versus impact assessments addressing human harm. Understand when assessments must be repeated during planned intervals and major changes involving data, models, rollout procedures, or geographic expansion. Build audit readiness through proper documentation practices covering objectives, Statement of Applicability (SoA), change management, competence requirements, awareness programs, and version control systems.

Syllabus

⭐ Internal Audit process for ISO 42023 | Your Complete Guide to ISO 42001 Compliance: https://www.youtube.com/watch?v=-K4K2py--NM
/ : : The ISO/IEC 42023 Lead Implementer Training & Certification program by InfosecTrain equips participants with the skills and knowledge to implement an Artificial Intelligence Management System AIMS aligned with the ISO/IEC 42023 standard. Delivered through immersive, instructor-led sessions, this program blends theoretical concepts with real-world scenarios to ensure practical application. Learners will explore AI and ML fundamentals, implementation best practices, regulatory considerations, and responsible AI governance. With specimen exams, in-depth AI use cases, case studies, and extended post-training mentorship, this course ensures participants are well-prepared to lead AI implementation initiatives with confidence and compliance.