As part of the KompLätt project, courses are offered for professionals who wish to develop their skills in technology and AI.

KompLätt is a project aimed at making education and professional development provided by universities more accessible for working professionals. It is a sub-project within the larger initiative ADAPT (Advanced Digital Skills Policy Lab for Academic Transformation). ADAPT is funded by Vinnova and includes the following universities: Linköping University, Örebro University, KTH Royal Institute of Technology, and Chalmers.

Opportunities for Professionals

As part of the project, Linköping University offers undergraduate courses that are now also available as commissioned education for a fee. All courses are taught jointly with LiU’s regular undergraduate students. Two of the courses are part of a degree program and are otherwise not available as standalone courses. The remaining two courses are open for professionals to apply to via antagning.se.

For courses where professionals study together with students in regular undergraduate programs, LiU charges a fee. The course fee includes teacher‑led instruction and examinations, as well as a simplified application process and tailored educational administration.

The courses have recommended prerequisites, but please note that no prior knowledge is formally required.

Courses to choose from

Artificial Intelligence, 6 credits

The course provides a broad overview of artificial intelligence and introduces fundamental methods for building systems capable of solving problems, making rational inferences, and communicating in natural language. The goal is to introduce concepts and applications within AI, with a focus on developing intelligent agents that can make decisions and act autonomously. This requires techniques for problem-solving, knowledge representation and reasoning, learning, communication, perception, and action.

This course is part of a degree program and cannot be applied for via antagning.se.

Syllabus

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Course dates: 31 August 2026 – 1 November 2026
Study pace: One-third pace
Language: English
Location: Campus Valla
Price: 16,600 SEK excl. VAT per participant

Bridging Statistics and Machine Learning: New Methodological Tools for Data Analysis, 3 credits

This course is intended for those working with data analysis and statistics who wish to expand their knowledge with modern methods. It is particularly suitable for those familiar with traditional statistics such as confidence intervals, hypothesis testing, and linear regression. It helps develop analytical skills through modern tools and approaches used in machine learning.

Syllabus

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Course dates: 17 August 2026 – 24 January 2027
Study pace: One-tenth pace
Language: Swedish
Location: Online
Price: 8,300 SEK excl. VAT per participant

Classic Leadership and Organization Dilemmas, 15 credits

How can we manage an organization's simultaneous needs for exploration of new opportunities and exploitation and more specifically how do we allocate scarce resources between the two? How do we recognize great leaders among the crazies? How do we sustain commitment in the face of adverse or ambiguous outcomes? How do we come to believe that a leader has succeeded or failed? What should we value in leadership and individuals who are leaders?

Syllabus

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Course dates: 17 August 2026 – 25 October 2026
Study pace: Full-time
Language: English
Location: Campus Valla, Linköping
Price: 41,500 SEK excl. VAT per participant

Circular economy in theory and practice, 12 credits

This course introduces fundamental concepts and strategies for the development of a circular and sustainable economy based on circular resource flows. You will also practice designing, analysing, and evaluating different solutions intended to improve a product, service, or organisation based on circular economy principles.

Syllabus

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Course dates: 31 August 2026 – 17 January 2027
Study pace: One-third pace
Language: Swedish
Location: Online
Price: 33,200 SEK excl. VAT per participant

Cybersecurity – Fundamentals and Awareness, 3 credits

Society’s digitalisation increases the need for cybersecurity. Anyone using or relying on computers, cloud services, and networks should have basic knowledge in this area. Topics include understanding threats, assessing risks, protecting oneself, and making informed decisions to avoid unnecessary risks. The course also discusses creating a strong cybersecurity culture within an organisation.

Syllabus

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Course dates: Ongoing
Study pace: One-tenth pace
Language: Swedish
Location: Online
Price: 8,300 SEK excl. VAT per participant

Elements of AI, 2 credits

The course aims to give an introduction and overview of artificial intelligence. The focus is on understanding the concept and some important techniques such as search and machine learning as well as consequences of AI on society.

Syllabus

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Course dates: Ongoing
Study pace: One-tenth pace
Language: Swedish or English
Location: Online
Price: 5,550 SEK excl. VAT per participant

Elements of AI, Part 2: Building AI, 2 credits

The course aims to introduce practical AI, focusing on basic machine learning. The aim is to understand how to build AI systems using machine learning, gain insight into the possibilities and limitations of the technology, and to get an overview of common methods for machine learning.

Syllabus

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Course dates: Ongoing
Study pace: One-tenth pace
Language: English
Location: Online
Price: 5,550 SEK excl. VAT per participant

Logistics 1, 7.5 credits

This course teaches you how to plan and manage material flows efficiently and sustainably. You learn fundamental logistics and solve real-world problems such as inventory control, warehouse operations, transportation planning, and managing supplier and customer relations.

Syllabus

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Course dates: 31 August 2026 – 17 January 2027
Study pace: Quarter pace
Language: Swedish
Location: Online
Price: 20,750 SEK excl. VAT per participant

Natural Language Processing (NLP), 3 credits

This course introduces the theory and practice of natural language processing (NLP), with a strong focus on modern large language models (LLMs). You will learn how these models are structured, how they are trained on large-scale text data, and how they are fine-tuned and evaluated on downstream tasks. By the end of the course, you will be able to explain how LLMs work and understand their limitations. The course also addresses societal and environmental considerations, including bias and the computational cost of large-scale models.

Syllabus

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Course dates: Ongoing
Study pace: One-tenth pace
Language: English
Location: Online
Price: 8,300 SEK excl. VAT per participant

Prompt Engineering – Practical Techniques for Working with Generative AI, 3 credits

The goal of this course is to teach you how to obtain better and more predictable results from generative AI by learning to craft effective prompts that guide AI systems toward relevant, precise, and creative outcomes.

Syllabus

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Course dates: 31 August 2026 – 1 November 2026
Study pace: One-tenth pace
Language: Swedish
Location: Online
Price: 8,300 SEK excl. VAT per participant

Resource-efficient recycling systems in a circular economy, 3 credits

The course aims to increase knowledge about how society uses and manages material flows and how workplaces can contribute to more sustainable and higher-quality recycling of end‑of‑life products and materials. 

Syllabus

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Course dates: 2 November 2026 – 17 January 2027
Study pace: Quarter pace
Language: Swedish
Location: Online
Price: 8,300 SEK excl. VAT per participant

Contact

Comissioned Education from LiU