BIP: Applied Artificial Intelligence in Business

In this course, students will learn how generative AI can be used in a business context (including large-languages models powering genAI solutions and RAG-systems used to interact with knowledge bases). Students will practice how to set up conversational interfaces using generative AI.

 

 

Please be aware that your home university may set a different application deadline depending on their internal selection process.

 

Registration dates 01 January 2025 14 February 2025
Course dates 19 May 2025 23 May 2025
Registration is open
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BIP: Applied Artificial Intelligence in Business

Course Highlights

The course has two parts: a virtual part in March-April and a teamwork week in May in Helsinki. The focus of the course is on generative AI in business.

The teams of four students are formed in March and the virtual part prepares the team for the teamwork week. Virtual weeks will give the students knowledge and skills to apply generative AI in business based on theory and by
creating small example no-code solutions e.g. chatbots.

Virtual weeks have both individual and team assignments. During the teamwork week the teams work on selected business cases creating AI business Canvas applied for genAI, a demonstration on the solution, and a pitch presentation.

Course content includes:

  • Short recap of the AI basic concepts as groundings for GenAI, e.g. deep learning
  • GenAI basic concepts e.g. Large Language Models (LLMs)
  • GenAI latest and advanced technologies e.g. Retrieval Augmented Generation (RAG) and AI Agents
  • GenAI use cases in various businesses and organizations
  • AI Business Model Canvas applied for GenAI
  • GenAI exercises, both literature-based and hands-on
  • Teamwork on applying AI for a selected use case

Learning Outcomes

Following this course, students will be able to:

  • Understand the latest GenAI technology concepts, GenAI technology tools basics
  • Evaluate the GenAI potential to enhance business using technologies above.
  • Use AI Business Model Canvas to define GenAI enabled business cases and use cases.
  • Apply selected AI tools to demonstrate GenAI technologies

Physical Mobility

The physical mobility will take place at Haaga-Helia University of Applied Sciences from May 19, 2025 to May 23,2025.

Address:
Ratapihantie 13, Helsinki, Finland

Requirements

The course is targeted to bachelor and master level students (business or IT programmes) that have acquired basic knowledge on Artificial Intelligence. For example, students that have completed a basic AI course on their home institutions.

For a reference, see Haaga-Helia’s ‘Basics of Artificial Intelligence (AI)’ course description.

Professors

  •  Jukka Remes, Haaga-Helia University of Applied Sciences
  • Juhani Heikkinen, Haaga-Helia University of Applied Sciences
  • Jose F. Quesada, Universidad de Sevilla

More information