Diffuse reflectance infrared spectroscopy has become an indispensable tool for rapid estimation of numerous soil health indicators and soil properties as an noninvasive alternative to the wet chemistry. With a hands-on approach, the workshop addresses topics of near infra-red fundamentals, chemometrics, sample preparation, instrumentation techniques and calibrating models predicting the basic soil health indicators. The target group of the workshop are non experts in the topic, i. e. soil managers, advisors or soil scientists. Therefore the workshop will be focused on the rapid in-situ measurement with handheld near-infrared spectrometer (example with NeoSpectra instrument) explaining what soil indicators are detectable with acceptable accuracy, good practice in spectral measurement of the soil samples in situ or in lab, i. e. user-friendly protocols developed in the AI4SoilHealth project. The core of the workshop will be practical training on how to build predictive models in R (and/or Python) using available machine learning tools and open soil spectral libraries (Open Soil Spectra Library, LUCAS etc). The lecturers will assist during the workshop to guide the participants through premade online computational notebooks. Aimed at advancing soil property estimation through fast, accurate, and cost-effective methods, this session underscores spectroscopy as a transformative tool for soil health monitoring, and environmental sustainability in general, positioning participants to integrate these methods into diverse soil-related research areas.