The Bayesian networks theory has recently become very popular in solving various applied problems in multiple fields of science and industry. For the practical application of the Bayesian approach, a high quality software product that implements the mathematical theory of Bayesian networks is required. The Bayesian approach is a promising approach for creating an intelligent environment to enhance student competence. To implement Bayesian networks, the BayesiaLab application software package is well suited and is one of the high-quality software products, which is specialised in artificial intelligence technologies. With the help of the BayesiaLab package, various models of Bayesian networks can be created, explored, edited and analysed. This article introduces student competences and explores the possibilities of using Bayesian networks in the formation of the competences of information technology (IT) students and for this purpose, a general algorithm and a specific architecture of the intellectual environment have been developed. It is a known fact that improved professional competence in education increases the competitiveness of specialists and updates the corresponding educational environment.
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