Syllabus

Title
0788 RMIS Seminar E
Instructors
Carsten Nickel, M.Sc., Univ.Prof. Dr. Verena Dorner
Contact details
carsten.nickel@wu.ac.at
Type
FS
Weekly hours
2
Language of instruction
Deutsch
Registration
09/18/25 to 09/21/25
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Specialization in Business Administration Course V - Business Information Systems
Course V - Responsible Management of Information Systems
Dates
Day Date Time Room
Thursday 10/30/25 09:00 AM - 05:00 PM D2.0.031 Workstation-Raum
Friday 10/31/25 09:00 AM - 05:00 PM D2.0.031 Workstation-Raum
Friday 11/14/25 09:00 AM - 03:30 PM D2.0.031 Workstation-Raum

On this page:

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Contents
AI product management is uniquely challenging. Unlike traditional product development, AI systems are probabilistic, depend on high-quality data, and demand continuous learning and optimization. Concepts such as large language models, retrieval-augmented generation, and model fine-tuning are critical to understand, yet they often feel inaccessible to nontechnical PMs. The course aims to bridge the gap between niche AI technologies and solving user pain points in impactful ways. This course offers actionable guidance and practical tools to help you navigate the intricate AI Product Development Lifecycle, tackle strategic and ethical considerations, and build innovative and user-centric products.
 
The course will be structured as follows:
  • Chapter 1, “The Role of AI Product Managers”
  • Chapter 2, “The AI Product Development Lifecycle”
  • Chapter 3, “Essential AI PM Knowledge”
  • Chapter 4, “The AI PM’s Day-to-Day”
  • Chapter 5, “Strategic Thinking in AI”
  • Chapter 6, “Setting Goals and Measuring Success”
  • Chapter 7, “AI Tools for Product Managers ”
  • Chapter 8, “Building AI Agents”
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Learning outcomes

This course should introduce AI-driven Product Management and act as a road map for navigating the complexities of creating AI-driven products. Based upon the book Building AI-Powered Products by Dr. Marily Nika ((Gen-)AI Product Lead at Meta and Google), it aims to equip future product managers, entrepreneurs, and business leaders with the tools and frameworks to integrate AI confidently into their work.

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Attendance requirements

Standard FS (=”Forschungsseminar”) attendance policy applies. Attendance in the first unit and overall for 80% of the time is required. Attendance in the first unit is mandatory (unqualified absence will result in deregistration from the course).

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Teaching/learning method(s)

The seminar is conducted interactively. Nevertheless, revising the content using the seminar documents or Nika, M. (2025) Building AI-powered products is advisable.

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Assessment
10% Active participation during class
40% presentation
50% final seminar project work
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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.

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Recommended previous knowledge and skills

No special prior knowledge is expected, but you should have a general interest in (AI) product management.

Last edited: 2025-05-14



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