Syllabus

Title
5967 E&I Zone: AI Bootcamp for Entrepreneurs (Course 2)
Instructors
Assoz.Prof PD Dr. Peter Keinz, Dipl.-Wirt.-Ing.(FH) Thomas Plank, MA, Mag. Daniel Cronin, Andreas Lederer, MBA
Contact details
Type
VUE
Weekly hours
2
Language of instruction
Englisch
Registration
02/25/26 to 02/26/26
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Thursday 04/09/26 09:00 AM - 11:00 AM D5.0.002
Thursday 04/09/26 12:00 PM - 08:00 PM TC.1.02
Friday 04/10/26 09:00 AM - 12:00 PM TC.1.01 OeNB
Friday 04/10/26 01:00 PM - 08:00 PM TC.2.03
Friday 04/17/26 01:00 PM - 04:00 PM D4.0.250
Contents

The course "E&I Zone: Artificial Intelligence - AI Bootcamp for Entrepreneurs" is a dynamic, 2.5-days seminar designed to prepare Bachelor's students in Business Administration for the future of entrepreneurship by integrating generative AI into key venture building processes. The seminar's metatheme is "Empowering Entrepreneurs with AI," focusing on how AI can enhance human creativity, accelerate execution, and improve market research and strategy in the entrepreneurial phases of opportunity recognition, evaluation, and exploitation.

This class is organized as a "sprint": Within only two days, participants will develop a genuine business idea, assess its potential, and develop a commercialization strategy. And all this will be done leveraging state-of-the-art AI tools. Finally, students will present their business proposals during the class-internal "demo day". 

Learning outcomes

During the seminar, participants will explore and apply AI tools across various stages of the entrepreneurial journey to assist and enable them in building a new venture. After having completed this course, participants will be able to understand and leverage AI tools in

- opportunity recognition, i.e., identifying innovative business ideas,

- opportunity evaluation, i.e., setting-up customer validation experiments, and conducting qualitative and quantitative market and competitor analyses, as well as

- opportunity exploitation, i.e., developing go-to-market and customer outreach strategies, and viable business models.

In addition, participants will have learned how to pitch their business proposals in a concise and convincing way.

Attendance requirements

Students must attend at least 80% of all classes and events to successfully complete the course.

Teaching/learning method(s)

This class is a hand-on workshop focusing on the application of core instruments, tools, and methods in the field of Entrepreneurship. The pedagogical approach includes:

  • Expert lectures
  • Group exercises
  • In-class discussion and presentations
Assessment

40% active participation in class (individual grade)

40% final elevator pitch during the demo day (individual grade)

20% reflection paper on the potential and limitations of AI tools in venture building (individual grade)

Prerequisites for participation and waiting lists

Students enrolled in the Entrepreneurship and Innovation Specialization Program.

Please note that course registration is binding.
Once you register for a course, it counts as a firm commitment to attend. Therefore, only join the waiting list for courses you can actually attend. After the add/drop period, transfers to other courses are not possible under any circumstances, as this would be unfair to other students who may have been unable to secure a place due to your registration.

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Recommended previous knowledge and skills

Once you have registered to the class, you'll get access to a MS Teams-Group. In this group, you'll get access to some lecture casts on selected "venture building" topics. Make sure to listen to these lecture casts prior to class.

Availability of lecturer(s)

peter.keinz@wu.ac.at

Last edited: 2026-01-14



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