Искусственный интеллект для руководителей бизнеса

2026/2027

Статус: Маго-лего

Кто читает: Департамент образовательных программ

Где читается: Институт статистических исследований и экономики знаний

Охват аудитории: для всех кампусов НИУ ВШЭ

Язык: русский

Кредиты: 3

Контактные часы: 32

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Аннотация

The rapid advancement and diffusion of artificial intelligence (AI) technologies are fundamentally reshaping business models, organizational structures, and competitive dynamics across global and Russian economies. AI has evolved from a specialized technical capability into a core strategic asset influencing decision-making at the highest managerial and board levels. In this context, contemporary education must equip future leaders with the conceptual frameworks and practical tools required to effectively govern, deploy, and scale AI-driven initiatives. The course is designed to address the growing demand for managerial and strategic understanding of AI among senior executives and students, without requiring technical or programming expertise.

Цель освоения дисциплины

To provide students with a structured understanding of artificial intelligence technologies, capabilities, and limitations from a business leadership perspective, enabling effective communication with technical and analytical teams
To enable students to evaluate how AI can create sustainable competitive advantage, reshape industry dynamics, and influence corporate strategy in both domestic and global markets
To equip students with analytical frameworks for assessing the financial viability and strategic value of AI initiatives, including return on investment, risk analysis, and scalability considerations
To prepare students to design AI-enabled operating models, develop governance structures, manage cross-functional collaboration, and lead digital transformation initiatives
To cultivate the ability to identify and manage ethical, regulatory, and reputational risks associated with AI deployment, ensuring alignment with international standards and best practices
To develop practical decision-making skills through case studies and applied projects, enabling students to translate AI concepts into actionable business strategies
To encourage forward-looking thinking regarding generative AI, automation, and the evolving role of leadership in the digital economy

Планируемые результаты обучения

Students will be able to explain key AI concepts in managerial language; distinguish between AI technologies and traditional analytics; assess realistic capabilities and constraints of AI systems; communicate effectively with technical teams.
Students will be able to evaluate AI’s role in competitive positioning; identify strategic use cases aligned with corporate objectives; assess data as a strategic asset; integrate AI into corporate strategy frameworks.
Students will be able to identify high-value AI applications across sectors; evaluate implementation models; analyze success and failure factors in AI projects; adapt cross-industry lessons to specific contexts.
Students will be able to construct AI business cases; calculate expected returns; assess risks and uncertainty; make informed investment recommendations; evaluate build vs buy decisions.
Students will be able to design AI governance structures; evaluate talent and skills requirements; lead AI transformation initiatives; manage change and stakeholder alignment.
Students will be able to assess ethical risks; design responsible AI governance frameworks; evaluate regulatory implications; integrate risk management into AI strategy.
Students will be able to evaluate generative AI applications in management; assess productivity and innovation impact; anticipate workforce transformation; formulate policies for responsible adoption.