Applied Artificial Intelligence: Creating Business Outcomes Summer Course
Prague, Czech Republic
Summer Course
DURATION
10 days
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
Key Summary
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.
Accommodation:Β For accommodation options, please visit theΒ dedicated page
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:Β 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
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