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

IKT116N Introduction to Artificial Intelligence

Learning outcomes

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

  • Identify opportunities for AI automation.
  • Demonstrate the use of no-code AI tools.
  • Implement simple AI-driven workflows.
  • Evaluate the effectiveness of AI solutions in workplace scenarios.

Contents

This course focuses on the practical applications of AI in day-to-day business operations and workflows. Students will learn how AI-driven tools can automate repetitive tasks, improve customer service through chatbots and virtual assistants, enhance marketing personalization, and optimize operations with predictive maintenance and workflow automation. Through hands-on projects, students will experiment with user-friendly automation tools like Zapier, Make, and Power Automate. The course also emphasizes how AI can increase efficiency and creativity in diverse professional environments.

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 2:26:18 PM