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

IKT119N AI Strategy and Implementation

Learning outcomes

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

  • Design AI models using no-code platforms.
  • Apply AI tools to solve real-world problems.
  • Assess the accuracy and effectiveness of their models.
  • Create AI-driven solutions tailored to specific business needs.

Contents

This course offers a deeper dive into practical, hands-on AI development using no-code and low-code platforms. Students will build and deploy AI models for tasks like image recognition, sentiment analysis, and predictive analytics without writing any code. Platforms like Teachable Machine, Google AutoML, and Microsoft Power Apps will be used to design real-world AI solutions. The course emphasizes creativity and problem-solving, allowing students to experiment with AI applications relevant to their own professional interests.

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 3:12:24 PM