Our EU AI Act Training gives your team a clear and compact overview of one of the world’s most far-reaching AI regulations. Instead of reading 400+ pages, you quickly learn the essentials: what the Act requires, how risk classes work, what applies to highrisk and general-purpose AI, and which deadlines matter for your product pipeline.
The training equips your organisation to build compliant and trustworthy AI. You learn how to manage risks, strengthen data governance, meet legal obligations, and avoid costly noncompliance — while boosting competitiveness, customer trust, and a strong ethical culture.
Our training gives your team the essential knowledge to navigate the AI Act with confidence and implement compliant, trustworthy AI systems
Get the core objectives and obligations of the AI Act in a fast, clear format
Quickly understand your system’s risk level and what it means for compliance
Learn exactly what high-risk and general-purpose AI must fulfil — and how to implement it
Get practical guidance on CE-marking, data quality, and governance for trustworthy AI
We translate complex legal and ethical requirements into clear, practical guidance your team can act on.
Our insights come from daily work with research projects, companies, and AI governance — not theory.
We combine ethics, law, risk management, and technical knowhow to give you a 360° view.
We tailor content to your systems, your risk classes, and your compliance needs — inhouse or online.
‘Lukas Madl explains what the EU AI Act is all about in a clear and concise way. This really helps companies get up to speed quickly without having to wade through hundreds of pages.’
‘Bringing together two complex topics such as AI and ethics in a coherent way is a balancing act. Lukas Madl mastered it brilliantly with his presentation “Developing AI ethically”, adding an important perspective to our event.’
‘The webinar on the AI Act was really well put together. Lukas Madl was extremely knowledgeable. Thank you!’
Learn what the AI Act means for you — clearly explained and directly actionable
