Abstract

Purpose: The purpose of the article is to present a set of methodological recommendations to introduce Modern Digital Technologies in the educational process that can be used for training in Artificial Intelligence including preparation for Bachelors’ and Masters’ degrees. Design/Methodology/Approach: The authors note that in the modern education system the navigation through educational online resources and competent use of such sources of information to obtain relevant knowledge and skills are becoming important. We must accept that contemporary development of education changes the role of a lecturer. A professor is no longer a central figure in order to transfer the knowledge to students. Currently a professor should be a moderator as well so that students can obtain the necessary competence. The authors describe approaches to organizing full-time student learning using a set of Modern Digital Technology tools such as the Kaggle platform, the Google Service—Colaboratory (Google Colab) and the Stepik educational platform. Website Kaggle demonstrates a World-Class level of development in Artificial Intelligence. The Colaboratory resource reduces entry barriers associated with limited technical and software resources for studying Deep Learning and online experiments with neural networks. Stepik is a service to organize online learning. Findings: It is shown that the use of digital tools provides an increase in the effectiveness of the educational process, mobility and a differentiated approach to study training materials. Originality/Value: A set of methodological recommendations on the use of digital education tools was developed. The proposed methodological recommendations give an opportunity to introduce the powers of digital resources for educational purposes. The advantages of using Modern Digital Technologies providing opportunities to students for professional growth and personal development are shown.KeywordsDeep learningKaggleColaboratoryStepikTeaching methodsEducationJEL ClassificationJ24M15C55

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