Artificial intelligence in the product development process
Efficient and high-quality products and services through large language models
Contents
Module 1
Introduction to artificial intelligence:
- Basics of artificial intelligence: definition and history.
- Functionality of Large Language Models (LLMs) and differences to historical AI models.
- Technical limitations of LLMs.
- Why LLMs are considered revolutionary.
Potential of AI in the development phases of research and development
- Use of AI in research and development (R&D).
- Requirements for AI in the various phases of product development.
- Areas with the greatest potential for optimization.
Module 2
Concrete AI starting points in the product development process
- Identification of potential through internal process analysis.
- Introduction of new processes through external AI potential.
Selection and prioritization of an AI strategy
- Prioritization and creation of an AI strategy.
- Criteria for the selection of AI approaches.
- Procedure for implementation.
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
This training teaches how AI can improve the efficiency and quality of product development processes. It presents a basic approach to using AI in product development that can be applied regardless of the type of product (physical, digital, etc.). The versatility as well as the opportunities and limitations of current LLMs are explained. It will be shown which data can be processed and in which areas the greatest potential for optimization lies. Best practice examples are used to provide an overview of the specific potential of AI in each phase of the product development process. It also shows how to select suitable AI models and define an AI strategy for the product development process.
Methods
Keynote speeches, discussion and exchange of best practices, case studies from practice, group work
Tools
Recommended for
Heads of research and development, interested specialists and managers, innovation managers, digitalization officers, process experts
Start dates and details
Thursday, 12.02.2026
1:00 pm - 5:00 pm
Wednesday, 18.02.2026
1:00 pm - 5:00 pm
Monday, 08.06.2026
1:00 pm - 5:00 pm
Monday, 15.06.2026
1:00 pm - 5:00 pm
Wednesday, 16.09.2026
1:00 pm - 5:00 pm
Tuesday, 22.09.2026
1:00 pm - 5:00 pm
Tuesday, 08.12.2026
1:00 pm - 5:00 pm
Monday, 14.12.2026
1:00 pm - 5:00 pm
Wednesday, 03.03.2027
1:00 pm - 5:00 pm
Tuesday, 09.03.2027
1:00 pm - 5:00 pm
Frequently Asked Questions (FAQ)
You will gain practical knowledge about how AI technologies can improve efficiency and quality in various phases of product development, which data and models are used in the process, and how to select suitable AI models. You will also learn specific procedures and best practice examples that you can apply in your own everyday work.
The training shows you how to use AI-supported processes to handle routine and data-intensive tasks faster and more accurately, improve decision-making situations, and make creative tasks more valuable. Through concrete methods and examples, you will expand your skills in the practical application of AI.
The training is structured in such a way that basic knowledge of product development and an understanding of business processes are helpful. You don't need to be an AI expert, but you should have an interest in how AI can make your day-to-day business easier.
With practical examples and concrete steps, you will learn not only theoretical concepts but also practical methods for integrating AI technologies into real product decisions and processes. This will enable you to take your first steps in your field of work immediately after completing the training.
You will gain insights into the limitations of current AI models, typical pitfalls in data processing and implementation, and tips on how to tackle these challenges in a structured way and turn them into opportunities.