tecnovy®
Daniel Lehner
EU AI Act AI-Regulation and Compliance Course
- Certified Training
- Online & Onsite
Artificial Intelligence (AI) is transforming business models worldwide. Companies leverage AI for efficiency and innovation, but from 2025, the EU AI Act will regulate its use with strict requirements—violations may lead to multimillion-euro fines.
In this online workshop, you will learn how to successfully integrate AI into your company while ensuring compliance with the AI Act. The course provides practical insights into legal, ethical, and technical aspects and shows you how to plan and manage AI projects securely.
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EU AI Act Training: KI-Regulation and Compliance
The use of Artificial Intelligence (AI) offers companies tremendous opportunities—from process automation to data-driven decision-making. However, as AI adoption increases, so do legal and ethical challenges. The EU AI Act, coming into force in 2025, introduces strict regulations for AI applications, with significant penalties for non-compliance.
This training provides practical insights into how to integrate AI technologies safely and legally into your business. You will learn:
- How the AI Act classifies AI systems and which requirements apply to your organization.
- Legal and ethical foundations, including data protection, copyright, and liability issues.
- Technical AI concepts, from machine learning and neural networks to natural language processing (NLP).
- AI project strategies, from design to implementation, using proven frameworks such as CRISP-DM and Agile AI processes.
This seminar combines legal, technical, and strategic perspectives to provide a holistic approach for the safe and effective use of AI in your organization.
Trainers
Daniel Lehner
Learning Objectives for the EU AI Act Course
By the end of this training, participants will be able to:
- Understand the core aspects of the EU AI Act – AI system classification, legal requirements, and compliance strategies.
- Identify relevant laws and regulations – Data protection (GDPR), copyright, competition law, and liability issues.
- Evaluate ethical challenges – Transparency, fairness, and bias mitigation in AI systems.
- Understand key AI technologies – Machine learning, neural networks, natural language processing (NLP).
- Analyze and minimize AI risks – Security measures, bias detection, and robust model development.
- Plan and implement AI projects efficiently – Using frameworks such as CRISP-DM, FAB-4, and Agile AI processes.
- Apply practical compliance strategies – Implementing auditing and documentation requirements to comply with the AI Act.
Certificate of Participation
Upon completing the course, participants will receive a Certificate of Participation. This certificate confirms that they have gained a thorough understanding of the EU AI Act and its key legal, ethical, and technical implications.
This certificate serves as proof of knowledge in AI compliance and can help organizations demonstrate that their employees are trained in AI regulations.
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