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.

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.
  • Develop skills in integrating AI into existing business processes and leading organizational change.
  • Understand the importance of AI governance, ethics, and responsible deployment to mitigate risks and bias.
  • Examine real-world case studies and best practices in applying generative AI to drive business outcomes.

General information

Course term: 204.08. - 15.08.

Available seats: 12

Price: 850 €

Category: Bussiness & Marketing

Status: Early Bird

Deadline: 30.04.2025

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 1Introduction 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 2AI-Driven Business Strategy and Competitive Analysis • The AI Canvas and FASt Framework • Applying Generative AI for Ideation and Innovation
  • Day 3Generative AI in Marketing and Customer Experience • Content Creation, Personalization, and Customer Insights • Case Studies and Best Practices
  • Day 4Generative AI in Operations and Supply Chain Optimization • Predictive Maintenance, Forecasting, and Process Automation • Hands-on Workshop: Applying AI to Operations
  • Day 5Generative AI in Finance and Accounting • Financial Forecasting, Risk Assessment, and Fraud Detection
  • Day 6Generative AI in Human Resources • Recruitment, Talent Management, and Workforce Planning • Case Studies
  • Day 7AI Ethics and Governance Frameworks • Bias Mitigation, Transparency, and Responsible AI Deployment • AI Ethics and Organizational Adoption
  • Day 8Integrating AI into Existing Business Processes • Change Management and Organizational Transformation • Developing an AI Implementation Plan for the Group Project
  • Day 9Student Project Work Time • One-on-One Mentoring and Feedback
  • Day 10Student Presentations of AI Business Solutions • Peer and Instructor Feedback • Course Wrap-up and Reflections

Course is running: Monday - Friday, 9:00 - 14:00

Lecturer

Béla P. Sándor

CV

Haarlem University of Applied Science

Lecturer and Entrepreneur

Bio

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.

Course outline

Literature

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

  1. Course runs 2 weeks Monday to Friday 9:00-14:00
  2. Total time of in-class work = 50hours
  3. Preliminary assignment = 10hours
  4. 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 2025 there will be a late enrollment fee charged in the amount of 50EUR 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

*Program/Course Outline is subject to change.

Prerequisites

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