Applied Artificial Intelligence: Creating Business Outcomes

This summer course will introduce students to the practical application of AI, particularly generative AI models, across various business functions. Students will learn how to leverage AI-powered tools and techniques to drive innovation, enhance business operations, and create competitive advantage. Through case studies and hands-on projects, students will gain a comprehensive understanding of how to effectively implement and govern AI solutions within a business context.

ACQUIRED SKILLS

  • • Provide an understanding of the fundamentals of AI, with a focus on generative AI models and their capabilities.
  • • Develop the ability to identify and prioritize business problems that can be solved using generative AI.
  • • Learn how to apply the AI Canvas and FASt framework to design and evaluate AI-powered business solutions.
  • • Gain experience in using generative AI tools to find innovative solutions across different business functions.
  • • Cultivate an appreciation for the strategic, operational, and organizational aspects of implementing AI in a business context.
  • • Understand the importance of AI governance, ethics, and responsible deployment to mitigate risks and bias.
  • • Develop skills in integrating AI into existing business processes and leading organizational change.
  • • Examine real-world case studies and best practices in applying generative AI to drive business outcomes.

GENERAL INFORMATION

Course term: 
Available seats: 
Price: 
Category: 
Status: 
Deadline: 

03. 08. – 14. 08. 
1 
950 € 
Bussiness & Marketing 
Few places left 
20.07.2026  

Course term: 03. 08. – 14. 08. 
Available seats: 1 
Price: 950 €
Category: Bussiness & Marketing 
Status: Few places left 
Deadline: 20.07.2026 

DESCRIPTION

Through case studies and hands-on projects, students will gain a comprehensive understanding of how to effectively implement and govern AI solutions within a business context.

SCHEDULE


Day 1

• Introduction to AI and Generative AI Models • AI’s Impact on Business and Industry • Identifying AI Use Cases for Business • Developing a group-based project


Day 2

• AI-Driven Business Strategy and Competitive Analysis • The AI Canvas and FASt Framework • Applying Generative AI for Ideation and Innovation


Day 3

• Generative AI in Marketing and Customer Experience • Content Creation, Personalization, and Customer Insights • Case Studies and Best Practices


Day 4

• Generative AI in Operations and Supply Chain Optimization • Predictive Maintenance, Forecasting, and Process Automation • Hands-on Workshop: Applying AI to Operations


Day 5

• Generative AI in Finance and Accounting • Financial Forecasting, Risk Assessment, and Fraud Detection


Day 6

• Generative AI in Human Resources • Recruitment, Talent Management, and Workforce Planning • Case Studies


Day 7

• AI Ethics and Governance Frameworks • Bias Mitigation, Transparency, and Responsible AI Deployment • AI Ethics and Organizational Adoption


Day 8

• Integrating AI into Existing Business Processes • Change Management and Organizational Transformation • Developing an AI Implementation Plan for the Group Project


Day 9

• Student Project Work Time • One-on-One Mentoring and Feedback


Day 10

• Student Presentations of AI Business Solutions • Peer and Instructor Feedback • Course Wrap-up and Reflections

<span class="kurz-detail-output" data-field="lecturer_kurz" style="display: contents;">Béla<br>P. Sándor</span>

LECTURER

Béla
P. Sándor

Haarlem University of Applied Science  
Lecturer and Entrepreneur

Béla is a business strategy and digital business advisor whose primary focus is in creating business outcomes through developing innovative business strategies, driving digital strategies and digital transformation.
Béla is also a lecturer in digital transformation management and project management at SRH Haarlem University of Applied Science in the Netherlands as well as a founder of Techkoepel, which focuses helping businesses create enhanced business outcomes with AI.
Having created multiple new business units at Cisco Systems, including a vertical industry cloud solutions business and before that a digital business advisory function, he has the experience and know-how to create maximum value from innovative digital business models.

Literature

  • Applied Artificial Intelligence: A Handbook for Business Leaders (Mariya Yao, Adelyn Zhou, Marlene Jia)
  • Applied Artificial Intelligence in Business: Concepts and Cases (Franziska Leutner, et al.)
  • Artificial Intelligence and Business Value: A Literature Review (Journal: Information Systems Frontiers)
  • Human + Machine: Reimagining Work in the Age of AI (Paul R. Daugherty & H. James Wilson)
  • Supremacy: AI, ChatGPT, and the Race That Will Change the World (Parmy Olson)

Course outline

COURSE GALLERY

CREDITS

You will receive an official Certificate of Attendance upon completion of your course. Please inform the organizing staff if you require any extra supplements, such as Transcript of Records. The student is eligible to receive up to 5 ECTS credits, however please follow the instructions here and consult the acknowledgment process with your university in advance.

ASSESSMENTS

– attendance in class 15%
– team assignment 40%
– individual assignment 35%
– exam 10% (optional, if required by home University)

COURSE TIME TOTAL 125 HOURS

– Course runs 2 weeks Monday to Friday 9:00-14:00
– Total time of in-class work = 50hours
– Preliminary assignment = 10hours
– Preparation = 65hours

PRICE

Course fee includes the course itself, application fee, study materials, afternoon/evening social activities and events, welcome and goodbye drink as part of the graduation party. Other expenses, such as meals, accommodation, insurance, personal expenses, public transportation ticket, extra activities (such as trips outside of town over the weekend and entrance fees), and required equipment (i.e. pencils, paper for illustrations) are not included in the price.

Please note, after the 30th of April 2026 there will be a late enrollment fee charged in the amount of 100EUR on top of the course fee.

Terms and Conditions – Cancellation fees

Costs of living in Prague

ACCOMMODATION

For accommodation options, please visit the dedicated page

PREREQUISITES

– Intermediate level of English (at least B1/B2)

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ANY QUESTIONS?

Feel free to contact our coordinator:

Andrea Josífková 
Coordinator

+420 777 879 192

info@europeansummerschool.com

Testimonials

Elia Marmora

Supply Chain Management in a world of e-commerce (ON CAMPUS)

European Summer School means Knowledge & FUN. All the staff of ESS is highly qualified, from the teachers to the group leaders. I really recommend you all this experience, book your seat at ESS you WON’T regret it :)

Student Maria avatar

Maria

Digital Marketing & AI Strategy

You apply for a course, in my case Online Marketing, and you get a lifetime experience. It´s not only the knowledge you gain, it´s the people your meet and the friends you make, the ambitious teachers and caring organizing team you get to know, it´s the spirit of an international summer school that makes these two weeks truly amazing.

Jim Pallas

From Blockchain to Financial Markets: Understanding Crypto, DeFi, and Trading Strategies

ESS 2019 was a great experience. Not only do you get to meet a of people from a lot of different places but you also come in touch with the exciting Czech culture. The courses provided are very interesting and the organisers are always helpful and welcoming.

Student Yasmeen

Yasmeen

Personal Development (ON CAMPUS)

I was enrolled in the personal and professional development course - it consists of many practical elements which helps you bond with your fellow classmates and apply the knowledge you have gained. I particularly enjoyed the focus on public speaking. The accommodation suited our needs and the activity coordinators gave us the experience of a lifetime in Prague (thank you team ESS!). If you are looking for a light, fun and enriching summer course - this is the place for you!


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