Chapter 4 of the EU AI Act, specifically Article 4, requires providers and deployers of AI systems to use their best efforts to ensure that the persons involved have a sufficient level of AI literacy. In practice, this means that every company introducing or using AI must build knowledge, training, and safe handling capabilities for the relevant employees. The benchmark is not abstract certification, but the actual knowledge, experience, training, and context in which the AI systems are used.

This training provides the foundations of AI competence in the company and explains what organizations must address in practice under Article 4 of the EU AI Act. The course combines regulatory orientation, technical understanding, and concrete operational confidence for using AI in day-to-day work.

In this online course, we do not just teach AI competence. Participants can directly confirm what they have learned in a follow-up knowledge test. This creates a sustainable way to verify and document competence building within your organization.

The focus is on the productive and responsible use of AI tools. Participants learn how modern AI systems, assistants, and AI agents work, where typical misunderstandings arise, and which governance measures companies need for a robust AI setup.

What Participants Will Learn

• Understand the EU AI Act
  Understand the core logic of the EU AI Act and transfer Article 4 into the company context.
• Apply AI competence in practice
  Recognize which people in the company need qualification and what level of competence is required for different usage scenarios.
• Use AI tools safely
  Understand how LLMs, AI assistants, and AI agents work and use them appropriately in daily business practice.
• Assess and avoid risks
  Identify typical dangers such as hallucinations, bias, data leakage, misuse, and uncontrolled system access at an early stage.
• Clarify copyright and usage
  Better classify AI-generated results from a legal perspective and understand limits arising from third-party rights and usage terms.
• Build AI governance
  Define rules, roles, safeguards, and escalation paths so AI can be used safely, lawfully, and effectively.

Course Content

• Article 4 of the EU AI Act
  Obligations for deployers and providers, timeline, and practical relevance for companies.
• Foundations of modern AI
  Key terms, developments since the breakthrough of generative AI, and classification of large language models, chatbots, and assistant systems.
• AI agents in the company
  Multi-step task execution, tool usage, resource access, and additional risks of autonomous systems.
• Risk levels in AI usage
  Differences between harmless research, use involving company knowledge, and agentic systems with file or system access.
• Typical practical risks
  Hallucinations, bias, closed AI decision loops, overly long contexts, weak prompting, and security risks from integrations.
• Data protection and confidentiality
  Handling personal data, sensitive information, and internal know-how in AI systems.
• Copyright in AI-generated outputs
  What pure AI outputs mean legally, when human contributions can be protected, and what to consider when third-party content is involved.
• AI governance in practice
  Usage rules, responsibilities, access restrictions, logging, approvals, and incident and escalation management.
• Knowledge verification and transfer
  Practical review questions and concrete takeaways for safe AI use in the company.

This course is suitable for companies that want to use AI productively while combining security, legal compliance, and organizational clarity. It is especially relevant for executives, business units, project leads, compliance, HR, IT, and all persons working with AI systems on behalf of the company.