Working with AI (2 cr)

Evaluation scale

H-5

Objective

The student will have a general understanding of the tools and methods enabled by artificial intelligence to improve efficiency and achieve better results in working life. They also know and can experimentally apply new ways of using AI enabled by the latest developments in AI.

Methods of completion

The implementation is virtual. The course can be integrated to own work by applying the methods presented in lectures and exercises to experiments to improve the efficiency of your own work.

Methods of completion

Update your knowledge on the new possibilities offered by AI to make work processes faster, of higher quality and smarter.

Content

An overview of the applications of different AI techniques. Company examples. The main new tools of AI to improve operational efficiency. Focus on the areas that have evolved most in recent years, such as generative AI and intelligent automation.

Materials

Material to be given in lectures. During the course, students will apply several generative and traditional AI tools and software to solve problems.

Teaching methods

The implementation is virtual. There are target timetables for the returnable exercises evenly spread over the period. The course can be taught by applying the methods presented in the lectures and exercises to experiments to improve the efficiency of your own work.

Employer connections

The course is well suited to be linked to your own work. Timely webinars are provided as additional material.

Student workload

The course is conducted through exercises with a focus on the application of the latest AI productivity tools.

Qualifications

No pre-requisites.