ISO 42001 Foundation study plan

Define the core AI vocabulary (AI system, machine learning, model, training, inference, autonomy) and restate each in your own words without notes

Distinguish an AI management system from a general quality or information security management system by listing four properties unique to AI

Explain the Plan-Do-Check-Act cycle as it applies to an AIMS, naming at least one activity in each phase

Identify the harmonized management system structure and locate where AI-specific content is added to it

Describe the AI system life cycle stages and state the governance concern that dominates each stage

Explain the concepts of AI risk, AI impact, and trustworthiness characteristics, and differentiate risk from impact using two worked examples

Categorize AI-specific harms into bias, opacity, security, privacy, and accountability classes and match each to a mitigating control type

Summarize the purpose and intended audience of the AI policy, objectives, and impact assessment as foundational AIMS instruments

Map clauses 4 through 10 of the AIMS requirements to their purpose in one sentence each

Translate the concepts from weeks 1 and 2 into the specific requirement text where each concept first appears

Sketch the boundaries of an AIMS scope statement for a fictional organization, including exclusions and justification

Explain how leadership commitment and the AI policy connect to documented objectives

Draft a context-of-the-organization analysis naming internal and external issues relevant to AI, plus interested parties and their requirements

Construct a roles-and-responsibilities table for AI governance that satisfies the leadership and internal organization expectations

Outline a planning process that addresses AI risk assessment, AI risk treatment, and impact assessment as distinct but linked activities

Distinguish the requirements placed on the organization from the guidance-only content

Break the Annex A control groupings into their intent and name two controls from each group

Explain how the controls for data, AI system life cycle, and impact assessment interlock across a deployment

Classify the controls that apply to an AI producer versus an AI user, and justify the split

Identify documentation and record obligations implied by the control set

Describe the support and operation requirements: resources, competence, awareness, communication, and documented information

Design a monitoring and measurement approach with at least three AI-relevant metrics and a review cadence

Sequence an internal audit and a management review, stating the inputs and outputs of each

Select improvement actions for nonconformities and corrective actions, and distinguish correction from corrective action

Reconcile concept-level misconceptions surfaced by your practice questions with the correct requirement text

Compare the responsibilities of producers, providers, and users of AI systems across the full life cycle

Integrate the clause map and control matrix into a single navigable study artifact

Practice explaining each domain's key ideas aloud in under two minutes per topic

Complete two full-length timed practice sets under exam conditions and record per-domain scores

Review every missed item to root cause and rewrite the underlying fact in your own words

Recite the clause purposes and Annex A intents from memory without prompts

Stabilize exam-day routine with a fixed review schedule and a last-pass checklist