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fischertechnik and Artificial Intelligence

How we make AI understandable

Our Approach: Making Artificial Intelligence Tangible

Artificial intelligence is complex. But learning works best when technology becomes visible, tangible, and applicable. This is exactly where fischertechnik comes in: Instead of explaining AI only theoretically, our models and learning concepts make the functioning of intelligent systems practically experienceable. Learners build, program, test, and understand step by step how sensors capture data, algorithms recognize patterns, and machines derive decisions from them.

This hands-on teaching approach combines technical understanding with active experimentation. Abstract topics such as machine learning, neural networks, or quality assurance with AI become comprehensible through real models. This not only promotes knowledge but also problem-solving skills, creativity, and a deeper understanding of digital future technologies.


Whether in the children's room, at school, in vocational training, at universities, or in an industrial environment: fischertechnik creates learning environments that motivate and enable sustainable learning. 

How the 4-step learning process for neural networks works
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  • 1. Creating the Neural Network

    The tool enables you to create and train your own neural network in a simple and intuitive way.

  • 2. Training of the Neural Network

    The neural network is trained with existing data or data collected by sensors.

  • 3. Integration into the Program

    After completing the training, an AI block is generated that can be used in programs to intelligently control motors, LEDs, or other actuators, for example.

  • 4. Real-time Execution

    The trained model runs directly on the controller without the need for a computer to be permanently connected.

    Our Offer

    Discover how fischertechnik makes Artificial Intelligence understandable and tangible for different target groups

    AI in the Children's Room

    fischertechnik introduces children and young people to technology, robotics, and programming in a playful way. The focus is on STEM skills, future skills, and a fundamental technical understanding. The AI content in the toy sector offers an easy entry into digital future topics and makes technology tangible through building, programming, and experimenting.

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    AI in the Classroom

    Discover fischertechnik learning offerings around Artificial Intelligence for the education sector. The focus is on practical learning concepts that enable students to get to know AI basics, robotics, programming, neural networks, and various AI applications. The content supports the development of digital skills and presents AI as a relevant future technology and potential career field.

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    AI in Industrial Halls and Lecture Rooms

    The fischertechnik AI training models demonstrate how artificial intelligence can be used in production environments. For example, in quality assurance, automated defect detection, image recognition, predictive maintenance, and real-time monitoring. The models are suitable for universities, training, and industry to practically visualize AI systems, machine learning, and neural networks.

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