Applied Artificial Intelligence: Creating Business Outcomes Summer Course

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.

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

Course outline

• Literature

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

Assessments

• Attendance in class 15%
• Team assignment 40%
• Individual assignment 35%
• Exam 10% (optional, if required by home University)

Course time totals 125 hours

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

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.

Course time totals 125 hours

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