In today’s business environment, it’s not artificial intelligence that will replace people — it’s the professionals who know how to use AI who will move ahead. Those who understand, adopt, and apply this technology will be the ones shaping the future of their industries. The question is no longer if you will integrate AI into your business — but how soon.
Join us for the 4th generation of the Mini MBA in Artificial Intelligence and turn this capability into your competitive advantage.
This comprehensive program consists of six strategically designed modules, each addressing a key application of artificial intelligence in modern business. The content is structured to be interactive, focused, and above all — practical. Participants develop skills and tools that can be applied immediately in real-world decision-making.
Beyond expert-led sessions, you’ll gain access to a robust collection of supporting materials, including real-life case studies, e-books, and curated content to deepen your understanding and extend learning beyond the classroom.
Whether you work in leadership, marketing, finance, or operations, this program will help you stay ahead — and make sure you’re the one using AI, not the one being left behind.
“You’re not going to lose your job to AI, but you’re going to lose your job to somebody who uses AI.”
Jensen Huang, CEO of NVIDIA
Artificial Intelligence – Modules
1.LARGE LANGUAGE MODELS IN MARKETING AND CONTENT GENERATION
This seminar explores the role of Large Language Models in modern marketing functions, including content creation, campaign ideation, personalization, SEO, customer communication, and brand management. Participants will learn how LLMs shift marketing from manual execution toward augmented creativity and data-driven storytelling, with a focus on managerial decision-making rather than technical implementation.
2.LARGE LANGUAGE MODELS IN RESEARCH AND DEVELOPMENT (NOTEBOOK LM)
This seminar examines how LLMs are transforming Research and Development across industries—from idea generation and literature review to concept testing, prototyping, and knowledge management. Emphasis is placed on how LLMs augment human expertise, reduce research friction, and reshape the innovation process without replacing critical thinking or domain knowledge.
Lecturer: Ivan David Dogan, mag. phil., MBA
3. LARGE LANGUAGE MODELS IN DATA EXTRACTION
In the information age, businesses are overwhelmed by unstructured text such as emails, PDF reports, news, and reviews. Extracting value from this data usually requires significant manual effort. This seminar transforms that process by using modern AI and Natural Language Processing (NLP) to algorithmically parse, categorize, and structure text at scale.
The seminar covers two workflows: internal and external. Participants will use Gemini and ChatGPT to summarize internal documents and perform sentiment analysis, and Perplexity AI for grounded, citation-based web research. A key focus is structured output, where participants learn prompting techniques that generate tables, CSV, or JSON formats ready for direct analysis. By the end, attendees will be able to automate the transformation of large text sources into clear, strategic reports.
In today’s business environment, data is growing faster than the ability to analyze it. Many professionals lose valuable time cleaning spreadsheets, writing formulas, and building charts. This seminar transforms data work by using modern AI “Code Interpreter” and Data Analysis tools, enabling complex analysis through natural language without requiring data science skills.
The seminar emphasizes hands-on use, where AI acts as a personal data analyst. Participants will upload Excel, CSV, or PDF files, explore patterns and anomalies through prompting, and move from descriptive to prescriptive analysis. Special focus is placed on accuracy, verification methods, and ethical data handling, empowering attendees to turn raw numbers into clear, reliable, and compelling business insights in minutes.
In the modern workplace, operational friction caused by manual tasks and disconnected systems significantly reduces productivity. This seminar transforms everyday workflows by using the code-generation capabilities of modern AI, enabling automation without requiring traditional programming skills—only a clear understanding of process logic.
The seminar focuses on hands-on application where AI acts as a junior developer. Participants will learn to generate spreadsheet formulas, automation scripts, and simple programs through natural-language prompting, while applying no-code logic principles. Emphasis is placed on debugging, iteration, and security best practices, allowing attendees to rapidly prototype reliable automations and resolve business bottlenecks in minutes instead of weeks.
This essential module focuses on responsible AI governance and risk mitigation. It covers the critical ethical risks of bias, copyright, and privacy, contrasting the security models of public LLMs (e.g., standard Gemini) with Enterprise platforms. Participants will analyze the significant risks of synthetic media. The session culminates in a workshop where attendees use a simplified AI Risk Checklist framework to draft an internal usage policy, ensuring safe, compliant, and trustworthy adoption of generative AI across the organization.
The program is based on the book Artificial Intelligence: A Modern Approach by Stuart J. Russell and Peter Norvig. This comprehensive book covers key areas of artificial intelligence, including machine learning, probabilistic reasoning, robotics, and ethical considerations. The latest edition provides an updated overview of AI research and applications.
