Table of contents

The course is connected to the following study programs

  • Applied Artificial Intelligence 1, one-semester programme

Teaching language

English

Recommended previous knowledge

IKT117N Data Literacy and AI for Decision Making, IKT118N Applied AI in the Workplace

Learning outcomes

Upon successful completion of the course, students will be able to:

  • Develop an AI adoption roadmap.
  • Assess the feasibility of different AI tools.
  • Manage AI projects from planning to deployment.
  • Evaluate the return on investment (ROI) of AI initiatives.

Contents

This course provides a structured approach to developing and executing an AI adoption strategy within an organization. Students will learn how to assess business needs, identify suitable AI tools, manage AI projects, and measure the impact of AI initiatives. The course also covers change management and the importance of training and collaboration for successful AI integration. Through case studies and project-based work, students will gain the skills to lead AI adoption efforts even without a technical background

Teaching and learning methods

The course is given online and is organized in combination of lectures, assignments, paper studies, labs, report writing and self-study. The tasks are done individually or in small groups with group supervision. The workload for the average student is approximately 135 hours.

Examinations

Graded portfolio assessment, individually or in groups. Groups are given joint grades. Information about the content of the portfolio will be given in Canvas at the start of the semester.

Student evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Offered as a free-standing course

Yes
Last updated from FS (Felles studentsystem) Oct. 15, 2026 3:12:22 PM