The course suits compliance and AI governance leads, legal counsel and data protection officers, technical AI teams, and consultants or executives who must show defensible AI governance. Each role works through a different part of the AI Act.
Compliance and AI governance leads who have to respond to the AI Act without a clear list of the obligations that apply to their systems. The course gives them a method to map those obligations and build the compliance plan.
Legal counsel and data protection officers who must interpret the AI Act and the Data Act for product and procurement teams. The course provides the criteria for deciding the organization's role and the obligations that follow from it.
Technical AI team members, data scientists, and engineers who build or deploy models and must produce the documentation and evidence. The course sets out the technical requirements that auditors test.
Consultants and executives who advise clients or lead AI initiatives and need a structured framework and a recognized certification. No formal prerequisite applies, though a working knowledge of GDPR principles and of risk management helps. The exam is in English, so participants should be comfortable reading and answering in that language.
The strongest results come from mixed teams. Legal, technical and governance staff should attend together or share one classification worksheet, because the key decisions depend on all three views.
“The best governance decisions come from legal, technical and governance people in one room.”
This ISO/IEC 42001 Lead Auditor training prepares audit, risk, and compliance professionals to assess Artificial Intelligence Management Systems (AIMS) in a structured, defensible way. The course focuses on planning, conducting, and closing ISO/IEC 42001 audits in real organizational environments, addressing governance, ethical use of AI, risk management, and regulatory expectations shaping 2024–2025. Participants learn to interpret ISO/IEC 42001 requirements from an auditor’s perspective, evaluate objective evidence, and formulate audit conclusions that stand up to certification scrutiny and executive review.
View courseThis Lead AI Risk Manager training prepares professionals to design, operate, and defend an AI risk management program aligned with regulatory and governance expectations. The course focuses on practical risk identification, decision traceability, and defensible mitigation strategies across the AI.
View courseThis ISO/IEC 42001 Lead Implementer course trains professionals to design and deploy an Artificial Intelligence Management System that stands up to regulatory, ethical, and operational scrutiny.
View courseThe EU AI Act applies to AI systems placed on the EU market, put into service there, or whose outputs are used in the EU, wherever the company is based. Applicability is decided per system and per use case.
A provider develops an AI system, or has it developed, and places it on the market or puts it into service under its own name or trademark. A deployer uses an AI system under its own authority. One organization can hold both roles for different systems.
The exam is a three-hour, multiple-choice test offered in English with a passing score of 70%. It covers five competency domains, from AI governance foundations to documentation and compliance formalization. The certificate is valid for three years with annual maintenance.
The EU AI Act applies to AI systems placed on the EU market, put into service there, or whose outputs are used in the EU, wherever the company is based. Applicability is decided per system and per use case.
Providers of high-risk AI systems must prepare technical documentation before the system is placed on the market, following the content set out in Annex IV, and keep it up to date. The documentation shows how the system meets the requirements for high-risk AI.
The EU AI Act sorts AI systems into four levels: unacceptable risk (prohibited), high risk, limited risk with transparency duties, and minimal risk. A system is high risk if it is a safety component covered by EU product legislation or falls under a use case listed in Annex III.
A fundamental rights impact assessment (FRIA) is a documented evaluation of how a high-risk AI system could affect people's fundamental rights before it is deployed. Under Article 27, it applies to certain deployers, including public bodies and private entities providing public services.
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