This was the first initiative of its kind carried out in collaboration with the PULS Center for Artificial Intelligence and E-Learning, combining international academic cooperation with the practical application of artificial intelligence methods and tools in the natural, environmental, and engineering sciences.

PULS Professor Aneta Sawikowska, Ph.D., was responsible for preparing and coordinating the entire project. The course programme consisted of 120 hours of instruction and was equivalent to 4 ECTS credits. The online classes were supplemented by the participants' independent work, which included practical exercises and projects.

The program has been divided into four main thematic areas:

• AI Tools – practical use of modern language models and generative AI tools, including topics such as: prompt engineering, AI agents, working with knowledge bases, information retrieval and synthesis, office automation, and visual content creation;
• Machine Learning – fundamentals of machine learning, data representation and preparation, methods for evaluating and validating models, classification and clustering, decision trees, the Naïve Bayes classifier, regression methods, and artificial neural networks;
• Deep Learning – preparing data for model training, selecting and encoding variables, dividing data into training, validation and test sets, building and evaluating neural networks, mitigating overfitting, and the practical application of trained models;
• Use of AI in Engineering 3D Modeling and Automation of Spatial Data Processing – the use of AI to generate and modify code, automate photogrammetry and point cloud processing, integrate LiDAR and DXF data, create repeatable analytical processes, and verify and validate results.

A key element of the course was the combination of theoretical knowledge with independent problem-solving and the completion of practical assignments. Participants worked on topics such as: building and evaluating machine learning models, using AI tools for data analysis and processing, process automation, and critically assessing the accuracy and reliability of results generated using artificial intelligence.

The classes within each module were conducted in the order of the modules by: PULS Professor Aneta Sawikowska, Ph.D., Laura Slebioda, M.A., Prof. Maciej Zaborowicz, Ph.D., Eng., and Prof. Ireneusz Laks, Ph.D., Eng.

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PULS Professor Aneta Sawikowska, Ph.D.