AI in personnel development
Redesigning learning processes with artificial intelligence
Contents
Basic principles of AI in personnel development and learning & development
- Introduction, functionality, opportunities and possible applications.
Overview
- Relevant AI tools and technologies.
From needs analysis to the evaluation of feedback
- Elicitation, creation and analysis of PE requirements with AI.
Personalized learning paths and adaptive systems
- How AI adapts learning content individually and dynamically.
Skills analysis and skills gap identification
- Identification of development needs and targeted support measures.
Automated content creation and knowledge management
- Creation and adaptation of learning materials and resources with AI.
Predictive analyses and performance measurement
- Use of data analyses for performance monitoring and strategic planning.
Chatbots and learning coaching
- Support for learners through AI-driven coaching and feedback tools.
Video generation and creation of interactive learning videos and quizzes
- Innovations in digital learning.
Excursus: Language models for specific tests (knowledge testing, case-based training)
- For example, through Retrieval Augmented Generation (RAG).
Importance of AI governance and AI Act (Article 4) in the context of L&D
- Ethical considerations and regulatory requirements.
Bias reduction and data protection-compliant design of AI models in the context of PE
- Techniques for the fair and safe use of AI.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- Learn how AI increases the efficiency of PE and L&D processes.
- Discover how AI is used to better tailor learning content to learners' needs.
- Learn how AI-based tools create personalized learning paths and support employee development.
- Receive concrete tools and methods for implementing AI applications in the PE work environment.
- Understand how data protection requirements are correctly implemented and which ethical aspects need to be taken into account.
Methods
trainers, best-practice examples, group exercises, individual work, practical workshop phases, discussion.
Tools
Recommended for
HR developers, L&D employees, corporate learning managers, HR managers, HR generalists, HR managers, learning coaches, executives and managers who want to expand and strategically use their skills in dealing with AI in the context of personnel development.
Questions about the seminar content
Because artificial intelligence opens up entirely new possibilities for learning processes. This can include personalized learning support, automated content creation, or predictive analytics. This training you how to understand how AI works and its potential applications, so you can use digital tools strategically to make learning processes more efficient and relevant.
For AI to truly make an impact, it requires clear areas of application and systematic integration. In training how to integrate AI-based tools and techniques into your existing development processes , thereby increasing efficiency and personalization in HR development.
Data provides the foundation for informed decisions and tailored learning opportunities. In training valuable insights into how AI-powered analytics can help you identify needs and tailor learning opportunities to specific requirements.
In training practical approaches to using AI to personalize learning opportunities. This will enable you to tailor learning content to specific target groups and plan development initiatives based on actual needs. This enhances the effectiveness of your employee development efforts and increases employee buy-in.
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- Customized training courses
- Direct application in practice
- Efficient use of time and resources
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Start dates and details
Thursday, 07.05.2026
09:00 am - 5:00 pm
Friday, 08.05.2026
08:30 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Monday, 15.06.2026
09:00 am - 5:00 pm
Tuesday, 16.06.2026
08:30 am - 4:30 pm
Thursday, 09.07.2026
09:00 am - 5:00 pm
Friday, 10.07.2026
08:30 am - 4:30 pm
Monday, 13.07.2026
09:00 am - 5:00 pm
Tuesday, 14.07.2026
08:30 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Thursday, 13.08.2026
09:00 am - 5:00 pm
Friday, 14.08.2026
08:30 am - 4:30 pm
Thursday, 10.09.2026
09:00 am - 5:00 pm
Friday, 11.09.2026
08:30 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Thursday, 08.10.2026
09:00 am - 5:00 pm
Friday, 09.10.2026
08:30 am - 4:30 pm
Tuesday, 13.10.2026
09:00 am - 5:00 pm
Wednesday, 14.10.2026
08:30 am - 4:30 pm
Wednesday, 11.11.2026
09:00 am - 5:00 pm
Thursday, 12.11.2026
08:30 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Wednesday, 09.12.2026
09:00 am - 5:00 pm
Thursday, 10.12.2026
08:30 am - 4:30 pm
Wednesday, 03.02.2027
09:00 am - 5:00 pm
Thursday, 04.02.2027
08:30 am - 4:30 pm
Tuesday, 16.02.2027
09:00 am - 5:00 pm
Wednesday, 17.02.2027
08:30 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Wednesday, 10.03.2027
09:00 am - 5:00 pm
Thursday, 11.03.2027
08:30 am - 4:30 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
