Abstract
<jats:p>The University course "Applied Artificial Intelligence and Digital Business Transformation" is dedicated to one of the youngest and most practice-oriented fields of scientific knowledge. It reveals the essence of applied artificial intelligence (AI). The principles and features of digital business transformation in various sectors of the economy are presented, the results, expected and real effects achieved in managing digital transformation and project portfolio in the context of the diffusion of different classes of AI solutions, and changes in the strategic role of AI are described. Special attention is paid to the AI transformation of business and the identification of areas of applied AI for business to achieve qualitative changes. The core basis of the textbook is theoretical provisions and practical recommendations on managing the digital transformation of business with a focus on increasing competitiveness and achieving leadership of companies, taking into account the threats and new opportunities of AI. The features of the era of digital economy, data economy, AI transformation, Industry X.0, robotization and AI transformation in economic sectors are revealed. The article focuses on technological trends, leadership strategies and professions of the future. The author draws on the results of his own scientific research, long-term practice of advising businesses and management teams of Russian and foreign companies on the development of corporate development strategies, digital business transformation strategies, and data management strategies in conditions of high turbulence. Special attention is paid to the new business architecture, the assembly of business models, project portfolio management, ecosystem solutions and the establishment of traditional and new KPIs corresponding to them. Meets the requirements of the latest generation of federal state educational standards for higher education. For students of higher educational institutions studying in the fields of Economics, Management, Information and Communication Technologies, Mechanical Engineering technologies, etc.</jats:p>