A self-paced course on establishing AI governance in an organisation using ISO/IEC 42001 as the backbone. Six modules cover the case for AI management systems and the standard’s structure, leadership and policy, AI risk assessment and treatment, controls across the AI lifecycle, impact assessment and third-party governance, and operating measuring and auditing the system over time. The focus is on practical artefacts and decisions that make governance real rather than a shelf document.

Written for risk professionals compliance leads product owners and engineers who are being asked to govern AI responsibly and want a defensible framework aligned to a recognised standard. Tech Skills Library is independent and issues no certification, credential or licence.

Modules

Module One — Why AI Governance and the Standard

Lessons

• The Case for a Structured AI Management System Preview
• Understanding the Structure of ISO 42001
• Defining Scope Context and Interested Parties

Module Two — Leadership and Policy

Lessons

• Securing Leadership Commitment and Accountability
• Writing an AI Policy That Guides Real Decisions
• Assigning Roles Responsibilities and Competence

Module Three — AI Risk Assessment and Treatment

Lessons

• Building an Inventory of AI Systems and Uses
• Assessing AI Risks Across the Lifecycle
• Selecting Treatments and Recording Residual Risk

Module Four — Controls Across the AI Lifecycle

Lessons

• Data Governance for Training and Operation
• Transparency Explainability and Human Oversight
• Security Robustness and Ongoing Monitoring

Module Five — Impact Assessment and Third Parties

Lessons

• Conducting an AI System Impact Assessment
• Governing Vendors Models and the Supply Chain
• Managing AI Incidents and Corrective Action

Module Six — Operating Measuring and Auditing

Lessons

• Building the Documented Information the System Needs
• Measuring Performance With Meaningful Metrics
• Running Internal Audits and Management Review