Искусственный интеллект для бизнеса

2023/2024

Статус: Дисциплина общефакультетского пула

Кто читает: Международный институт экономики и финансов

Где читается: Международный институт экономики и финансов

Когда читается: 3, 4 модуль

Охват аудитории: для своего кампуса

Преподаватели: Худов Никита Михайлович

Язык: английский

Кредиты: 3

Контактные часы: 32

Full Syllabus Ask Question

Abstract

This course introduces undergraduate students to the strategic, technological, and economic foundations of artificial intelligence in business. The course focuses on how modern AI systems—including machine learning, large language models, and agent-based solutions—are designed, deployed, and managed to create measurable business value. Students study the full AI value chain, from data and infrastructure to models, processes, governance, and impact measurement, with an emphasis on real-world implementation rather than programming. Through case studies, workshops, and a team-based project, students learn to design AI strategies, evaluate AI initiatives, manage portfolios and programs, address ethical and security risks, and assess the broader economic implications of AI adoption. This course is designed for students who are interested in learning about the application of artificial intelligence in a business context. It is ideal for those who are pursuing careers in management, finance, analytics, or any field where data-driven decision making is important. Prior knowledge of AI is not required, but a basic understanding of business concepts is recommended. Course Pre-requisites • This course DOES NOT require any technical and engineering knowledge of AI as mainly the business/applied side will be discussed, but basic programming or ML skills will be beneficial • Understanding of the basic business/management principles is required • Practical understanding of the basic IT concepts (databases, operation systems, etc.) is required • Access to any kind of LLM service is required (ChatGPT, GigaChat, Alice AI, Gemini, etc.) is required

Learning Objectives

Develop an understanding of how artificial intelligence can be applied to solve business problems and make data-driven decisions.

Expected Learning Outcomes

Define the basic concepts of artificial intelligence and how they can be applied in a business context
Analyze business problems and determine if AI is a viable solution.
Confidently use AI instruments (such as LLMs) to efficiently solve business problems.
Develop and implement AI strategies that align with business objectives.
Interpret and communicate AI results to stakeholders in a clear and understandable way.
Outline the latest technological trends and current areas of research.
Evaluate the current and potential impact of AI on the global economy

Course Contents

Intro to AI for Business and AI Strategy
Enablers 1-2: Data & Infrastructure
Enabler 3: Models & Tools
Enablers 4-5: People & Processes
Enabler 6: Ethics & Security
AI Governance & Program Management
Impact on the economy

Assessment Elements

Assignments and Quizzes
Midterm Exam
Group Project

Interim Assessment

2023/2024 4th module
0.2 * Assignments and Quizzes + 0.5 * Group Project + 0.3 * Midterm Exam

Bibliography

Recommended Core Bibliography

Harvard Business Review Press. (2019). Artificial Intelligence : The Insights You Need From Harvard Business Review. La Vergne: Harvard Business Review Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2003692
Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2019). Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models.

Recommended Additional Bibliography

Narcisa Roxana MOȘTEANU. (2019). International Financial Markets face to face with Artificial Intelligence and Digital Era.

Course Syllabus