The article presents the Perceptron neural network program developed by the authors, which enables assessing in points the quality of the task performed by students in a foreign language. The theoretical basis for the artificial intelligence systems applied in the learning process has been considered. The studies have shown that the online education market has grown in the world, and the trend marked persists. The trends in use of neural networks in learning have been summarized. Analysts noted that the use of artificial intelligence systems has been becoming more widely used in the learning process. It has been hypothesized and proved that a neural network makes it possible to give a grade for the quality of a control text read by a student according to the requirements of competencies using the BI data resulted from processing with an artificial intelligence system. The algorithm proposed by the authors uses the capabilities of the PyPhox mobile application and the Deductor platform. The algorithm is based on the following scheme. The teacher records a piece of a text into a file on the PhyPhox mobile application; its digitized version is then used as a reference to compare the quality of the assignment done by a Master student. The resulting reference file is exported to XL and then imported into the Deductor for further processing. The students do the same; their control files are paired with the reference, combined in XL and imported into the Deductor for processing. In the final, based on the comparison of the coefficients of correlation between the control and reference files, the Perceptron program assigns a score corresponding to the "excellent," "good," "satisfactory" and "not satisfactory" grades. The neural network formed is trained on data sampling, where they add semester points and competence points. The relevance lies in the fact that the program enables automating the learning process and replacing the teacher's work at the stage of the assignment control according to the competencies, which is of practical importance.