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A selected area of ongoing research on computer-aided design of manufacturing processes of surface layers with the use of modern information technologies was presented. The manufacturing of surface layers by mechanical, thermal, thermo-mechanical. thermo-chemical, electrochemical, and physical treatement, and information technologies used for these tasks were taken into consideration. An original methodology based on a probabilistic Bayesian network, which is a directed graph, and it is based on the events and their associated probabilities representing the structure of cause and effect for the selected problem areas was presented. The methods of determining the probability of events for specific network nodes and joint probability distribution for the whole structure of the graph were described. The model of the information system transforms the input values into output values. The range of information and the phases of the inference process, consisting of automatic technology identification of surface layer formations characterized by the expected properties and method of determining the process parameters for selected technology were outlined. The implementation of a model solution for selected applications associated with the need to get the necessary surface hardness distribution was described.