1.200+ companies train their employees with lawpilots

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1.200+ companies train their employees with lawpilots

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Personalised modules

Our AI training courses bring your team up to the required level of literacy quickly and precisely. Through a self-assessment and courses in three different levels, your employees are picked up exactly where they are with their previous knowledge – without boring experts or overwhelming beginners. The result: a company-wide knowledge base that enables smooth, interdisciplinary collaboration and strengthens your company’s future viability.

The Dynamic AI-Literacy Training provides time-saving, effective and practical training in three versions: Basic Knowledge, Advanced Prior Knowledge, Expert Level. The classification is based on a short self-assessment. A certificate upon successful completion documents the AI literacy in your company.


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Quick Facts

  • 15-35 Minutes
  • Certificate at the end
  • Formats: SCORM, TinCAN/xAPI, AICC
  • Use of the lawpilots online platform or internal LMS

Contents of the training

The Dynamic AI-Literacy-Training offers three different levels that specifically address the previous knowledge of the participants. This gives all employees exactly the knowledge they need to work safely and responsibly with AI.

Basic knowledge

25-35 Minutes

  1. Introduction to AI – Definition, artificial intelligence, interdisciplinary perspective: different viewpoints on AI and challenges in defining the term.
  2. Technical fundamentals Algorithms, machine learning, deep learning, differences between ML and DL, introduction to ChatGPT.
  3. Types of AI Functionality and differences between descriptive and decision-making AI, weak and strong AI.
  4. Legal framework – Introduction to the AI Act, risk-based approach of the AI Act, prohibited AI practices, high-risk AI systems, data protection and AI, legal challenges in AI usage, related legal areas and their relevance to AI.
  5. AI governance Introduction to governance and compliance in AI, the importance of governance, fundamentals of risk management, AI compliance, establishing a governance framework.

Advanced prior knowledge

20-30 Minutes

  1. Fundamentals and definitions – Clarification of artificial intelligence terminology, interdisciplinary perspectives, and challenges in defining AI.
  2. Technical concepts for advanced learners – Machine learning, deep learning, specialised applications (medical diagnostics, autonomous driving, language translation), and AI types such as ChatGPT.
  3. Legal framework In-depth analysis of the AI Act, data protection, legal challenges, and related legal areas.
  4. AI governance and compliance – Strategies for implementation, best practices, and case studies for effective AI use in companies.

Expert level

15-25 Minutes

  1. Fundamentals and current developments Definition (XAI, AutoML, Meta-Learning, Edge Computing), interdisciplinary perspectives and challenges in defining AI with practical examples. 
  2. Technical deep dive – Current trends in machine learning (Meta-Learning, Federated Learning, Causal Inference) and deep learning (GANs, GNNs, XAI), as well as in-depth insights into ChatGPT and various AI types.
  3. Legal framework Developments in the AI Act, algorithmic transparency, ethics, data protection, liability, as well as international comparison and future regulatory challenges. 
  4. AI governance and compliance – Strategies for implementation, automated compliance monitoring, predictive governance, as well as best practices and case studies for effective AI utilisation. 

Playful and practical
AI-literacy-training reimagined

Storytelling

Storytelling

Through storytelling in our Dynamic AI-Literacy-Training, your employees experience realistic scenarios and immediately recognise their relevance to daily work. This engaging approach enhances knowledge retention and fosters a deep awareness and critical understanding of responsible AI usage. In this way, theory transforms into practical, job-relevant competence.

Playful learning

Playful learning

Interactive elements in our Dynamic AI-Literacy-Training encourage active participation and deeper engagement with the content. Your employees can test their knowledge in a playful way, apply it directly, and develop a comprehensive and practical understanding of artificial intelligence. By integrating hands-on exercises, this approach promotes critical and responsible thinking when working with AI in your organisation.

Practical examples

Practical examples

Practical examples make artificial intelligence tangible. Through real-world applications scenarios, employees learn how AI is used in everyday work. This direct connection to practice enhances understanding and ensures the targeted transfer of knowledge into the professional context – fostering sustainable and application-oriented AI competence.

Self-assessment

Self-assessment

The AI-Literacy-Training begins with a self-assessment that helps employees evaluate their prior knowledge. Targeted questions determine the most suitable training level for their expertise, ensuring that everyone receives the content they need. This personalised learning approach guarantees optimal support for all employees.

Specialised Modules

Utilise the full potential of AI and increase the future viability of your company

Individualised in-depth training ensures AI literacy at the right level with the right content. Following a joint assessment and goal definition, we develop a comprehensive concept for a value-driven, responsible, and legally compliant approach to AI.

Developed by leading
experts

Prof. Dr. Cordula Meckenstock

lawpilots Co Chief Executive Officer

The legal expert, with extensive expertise in governance, compliance, data ethics, and ESG, brings her practical experience in company-wide operational implementation from global C-Level positions. As a ideal partner for lawpilots training, she translates regal requirements into practical training courses that help businesses to sustainably strengthen their compliance culture.

Philipp Müller-Peltzer

Lawyer and Partner

The lawyer is a leading expert in AI literacy, AI governance, and the implementation of the AI Act requirements. As a partner at Schürmann Rosental Dreyer Rechtsanwälte, he advises companies on the legally compliant integration of artificial intelligence into their business models. His specialisation in the data protection aspects of AI applications makes him a sought-after expert for innovative and legally compliant AI solutions.

Johannes Gilch

Lawyer, LL.M. (Strasbourg/Dresden)

As an experienced expert in artificial intelligence, IT security, and the legal challenges of digital transformation, as well as a lawyer at Schürmann Rosenthal Dreyer, he combines technical expertise with legal acumen. He is a lecturer at the Technical University of Dresden, where he provides practical insights into AI regulation and guides students in the legally compliant use of artificial intelligence.

Your AI-literacy-training at a glance

All key information about the Dynamic AI-Literacy-Training – clearly structured and to the point in a single PDF!

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FAQ about the
Dynamic AI-Literacy-Training

What is the AI-literacy-training?

The Dynamic AI-Literacy-Training is a practical and interactive training course in three competence levels that provides companies with the best possible support in fulfilling the legal requirements for AI literacy in accordance with Article 4 of the AI Act. Your employees are specifically prepared for the safe, responsible and efficient use of artificial intelligence – effectively, quickly and tailored to the respective competence level.

Why is the AI-literacy-training important?

From 2 February 2025, companies are legally required to ensure that their employees possess a sufficient level of AI literacy (Art. 3 AI Act). The AI-literacy-training teaches important technical, legal and ethical principles and is a valuable measure to help companies optimally prepare their employees for the requirements of working with AI and build up AI expertise.

What competence levels are available for the AI-literacy-training?

The training is available in three competence levels:

  • Basic knowledge: For beginners with no prior experience
  • Advanced prior knowledge: For employees with initial AI experience
  • Expert level: For professionals looking to gain a deeper understanding and practical application of AI

How does the employee classification work?

The classification is determined through a short self-assessment, which automatically assigns the appropriate training level. This ensures that experts are not underchallenged, and beginners are not overwhelmed.

What are the benefits of the AI-literacy-training?

The AI-literacy-training offers several benefits for companies:

  • Efficient and targeted: Training in three levels, tailored to individual competence
  • Increased productivity: Safe and effective use of AI in daily work
  • Consistent AI literacy: Enhances cross-functional collaboration
  • Verifiable qualification: Self-assessments and certificates demonstrate learning success within the company.

How can I book the AI-literacy-training for my company?

To book the Dynamic AI-Literacy-Training for your company, please contact us via our contact form or call us directly. We offer personalised advice and tailored solutions designed to meet your company’s specific needs.

What are the technical requirements for participation?

Our e-learning platform, lawpilots LMS+, is web-based and requires only an internet connection and a modern web browser. The training is accessible on both desktop computers and mobile devices.

You can also easily integrate our training into your internal Learning Management System (LMS). We offer the Dynamic AI-Literacy-Training in widely used standard formats, including SCORM, AICC, and TinCAN/xAPI.

The integration process is simple and takes only a few minutes. If you need assistance, our team is here to help. We are happy to support you in integrating the AI-literacy-training into your LMS and ensuring everything runs smoothly.

For future-proof AI use

Discover how your team can confidently and responsibly work with artificial intelligence with the Dynamic AI-Literacy-Training and take the first step towards AI literacy today.