Overview
Understand the structure, scope, and intent of ISO/IEC 42001 and AIMS, Explain key concepts in AI governance, ethics, and risk management, Map AI systems, stakeholders, and risks into an AI Management System framework, Interpret and apply Clauses 4–10 to real AI use cases and projects, Understand Annex A controls and how they support responsible AI operations, Design a practical ISO 42001 implementation roadmap and project plan, Prepare for internal audits, external certification, and ongoing AIMS maintenance, Build a strong foundation for iso 42001 foundation, lead implementer, and lead auditor roles
Professionals seeking iso 42001 foundation knowledge in AI Management Systems (AIMS), Aspiring iso 42001 lead implementer or iso 42001 lead auditor candidates, AI, data, product, and engineering teams who must design responsible AI workflows, Compliance, risk, and governance professionals supporting AI initiatives, Consultants and trainers who want to add ISO/IEC 42001 and AI governance to their portfolio, Students and career switchers entering AI, GRC, or ethics and risk management roles
Basic understanding of how AI or data-driven systems are used in organizations (helpful but not required), Interest in AI governance, compliance, risk management, or ISO management systems, A willingness to learn, reflect, and apply concepts to your own AI context
This course is designed to help learners of all backgrounds understand and apply ISO/IEC 42001: AI Management System for Beginners in real-world organizations. Whether you’re aiming for iso 42001 foundation knowledge, preparing to become an iso 42001 lead auditor or iso 42001 lead implementer, or building a practical AIMS (AI Management System) for AI governance, ethics, and risk management, this course gives you a clear pathway into iso 42001 best practices. You’ll see how an AI Management System connects strategy, responsible AI, and compliance so you can design, operate, and continually improve trustworthy AI.
You’ll learn how ISO/IEC 42001 is structured, how Clauses 4–10 translate into practical requirements, and how Annex A controls support safe, transparent, and reliable AI operations. The course walks through context, leadership, planning, support, operation, performance evaluation, and improvement — always tying the standard back to real AI systems, data flows, and lifecycle stages. You’ll also explore governance models, risk registers, impact assessments, and internal controls aligned with AI ethics and regulatory expectations.
Designed to be beginner-friendly, this course offers clear explanations, step-by-step breakdowns, and realistic examples from AI use cases, policies, and process documentation to help reinforce learning. No prior ISO or AI experience is required — we start from first principles and build up to an integrated AI Management System that can support internal readiness, external audits, and long-term certification.
What You’ll Learn
Understand the structure, core concepts, and terminology of ISO/IEC 42001 and AIMS
Explain how AI governance, ethics, and risk management are embedded in the standard
Interpret Clauses 4–10 and relate them to AI lifecycle activities and stakeholders
Analyze Annex A controls and map them to technical, organizational, and process safeguards
Design an ISO 42001-aligned implementation roadmap and project plan for your organization
Prepare for internal audits, external certification, and ongoing AIMS performance evaluation
Strengthen communication between technical teams, compliance, and leadership on AI risk
Build foundations that support iso 42001 foundation, lead implementer, and lead auditor pathways
Course Features
Structured video lessons organized around Clauses 4–10, Annex A controls, and implementation stages
Systematic breakdown of AIMS concepts with real-world AI governance and risk examples
Focus on practical tools: context mapping, risk registers, controls mapping, and audit preparation
Easy-to-follow format, suitable for both technical and non-technical learners
Concept checks, reflection prompts, and scenario-based discussions to reinforce understanding
Accessible on mobile, desktop, or tablet so you can learn at your own pace
Who This Course Is For
Professionals involved in AI, data, product, risk, or compliance who need a clear view of ISO/IEC 42001
Aspiring iso 42001 lead implementer and iso 42001 lead auditor candidates building foundational knowledge
Governance, risk, and compliance (GRC) practitioners responsible for AI oversight and assurance
Engineers, data scientists, and ML practitioners interested in responsible AI and AI Management Systems
Consultants, trainers, and advisors who want to support clients with AI governance and AIMS implementation
Students and career switchers entering AI, ethics, or regulatory roles who want a structured, beginner-friendly path
This course serves as an ideal introduction to ISO/IEC 42001 and AI Management Systems for practical, professional use — especially if you’re preparing to support AI governance, audits, or certification efforts. Whether you’re new to ISO standards or expanding from other frameworks, you’ll leave with the confidence to understand, explain, and start implementing an effective AI Management System.
Disclosure: This course contains the use of artificial intelligence for clear voiceovers.
RCM Academy
Welcome to RCM Academy! Our founder and lead instructor has extensive experience in healthcare Revenue Cycle Management (RCM) and medical billing. With a strong background in the healthcare industry, they have trained hundreds of professionals to master the complexities of RCM processes, from patient registration to payment collection. Passionate about helping individuals succeed, the instructor designed RCM Academy to provide practical, up-to-date training on medical billing, coding, and RCM strategies. Whether you're just starting in healthcare administration or looking to expand your knowledge, RCM Academy offers the skills you need to excel in the field of medical billing and RCM.