Short, focused video lectures covering every competency across all four AIGP domains, one topic per video so you can watch in the gaps between everything else. Each domain closes with a quiz video working through real practice questions. Free, no login, nothing to install.
What counts as an AI system, why learned behaviour produces opacity, harms at every level, the six responsible-AI principles, governance roles, and the seven pillars of a governance program. 16 to 20 questions on the exam, covered lecture by lecture below.
What Domain I covers and how it's weighted on the AIGP exam.
The AI system definition, types of AI, and the shift from authored rules to learned behaviour.
Who AI can harm, the three named risk categories, and AI-specific security threats.
The six responsible-AI principles, governance stakeholder roles, and developer/provider/deployer/user.
The seven pillars of a governance program and why it must be tailored to the organization.
Policy across the AI life cycle, updating existing policy instead of duplicating it, and vendor risk.
Five real questions from the AIGP Playbook question bank, with full answers and reasoning.
The heaviest domain. GDPR lawful bases and Article 22, disparate impact, the EU AI Act risk pyramid, GPAI and the phasing timeline, NIST AI RMF, ISO 42001.
Governing the build: design-stage impact assessments, the risk mitigation hierarchy, data lineage and provenance, testing, model cards, drift, red teaming, and incident response.
From the deployer's seat: model and deployment choices, vendor contract terms, continuous monitoring, incident response, downstream harms, and deactivation controls.
If a lecture moved too fast, the written guide behind it goes deeper with worked explanations and knowledge checks. Prefer audio? The podcast covers the same ground in a different format. When you want to find out whether it's landed, sit the mock exam.