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AI010: AI Competency in Accordance with AI Regulation Art. 4

Training: Artificial Intelligence

Participants receive an overview of how AI systems work, as well as regulatory and ethical requirements according to the AI Act, Article 4. The course covers opportunities, risks, and practical skills such as prompting. Exercises reinforce the responsible use of AI systems. An optional exam provides proof of the AI competence acquired.

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Appointments in German language


Online training	2025-12-01 \| 10:00 am	2025-12-01 \| 06:30 pm	Online

Possible course languages: German

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Online training

Start: 2025-12-01 | 10:00 am

End: 2025-12-01 | 06:30 pm

Location: Online

Price: 750,00 € plus VAT.

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Agenda:

Welcome and introduction

Module 1: Technical functionality of AI Systems

Fundamentals of Artificial Intelligence
Machine Learning & Deep Learning: Basic principles, algorithms and models
Neural Networks & Training Processes: From data ingestion to decision making
Limitations and challenges: Data quality, overfitting, black box problem

Module 2: Regulatory requirements

Overview of the AI Regulation Art. 4
Obligations and responsibilities of users and operators
Liability and data protection issues: GDPR and risk management
Discussion of case studies

Module 3: Ethical requirements

Ethics in AI: Basic principles
Mitigation of bias and discrimination
Transparency and explainability of AI systems
Accountability & fundamental rights: Handling ethical dilemmas in practice

Module 4: Opportunities & risks of AI

Growth despite skills shortage
Enhancement of enterprise efficiency
Security through AI-powered systems
Reduction of human errors
Loss of human expertise
Threats through AI-powered attacks
Risks for data protection and privacy
Strategies for risk minimization
Best practices for responsible AI deployment

Module 5: Prompting skills

Fundamentals of prompt engineering: Best practices for effective prompts
Practical exercises with current AI tools
Open source vs. commercial solutions: Advantages and disadvantages for enterprises
Use cases in different industries: Practical examples
Tips and tricks for everyday use

Summary of learning outcomes

Feedback session

Examination

Certificate presentation

Objectives:

Technical understanding: Understanding the fundamental functionality of AI systems, including machine learning and data processing
Regulatory competence: Knowing the requirements of the AI Regulation Art. 4 and understanding how to implement these in practice
Ethical awareness: Being able to identify and apply ethical aspects and responsibilities in handling AI
Risk assessment: Being able to evaluate opportunities and risks of AI applications and take appropriate measures
Practical skills: Developing and applying prompting skills

Furthermore, the course forms a good foundation for additional advanced courses, e.g.:
AI100 AI Officer

Target audience:

Anyone who uses AI in a professional context
Anyone interested in expanding their AI competencies

Prerequisites:

Basic computer and IT knowledge
No specific AI prerequisites required

Description:

The one-day course AI010 AI Competency according to AI Regulation Art. 4 is targeted at all users and operators of AI systems who want to meet the requirements of AI Regulation Art. 4.

The course provides a comprehensive overview of the technical functionality of AI systems, the current regulatory and ethical requirements, opportunities and risks as well as practical skills in handling AI such as in the area of prompting.

Through the training enriched with exercises, participants acquire the necessary knowledge and competencies to be able to use and operate AI systems responsibly and effectively. The proof of AI competency is provided through an optional examination at the end of the workshop.