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Courses within the KompLätt Project

As part of the KompLätt project, four 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 four 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.

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

Courses to choose from

Artificial Intelligence, 6 credits

In this course, you will be introduced to key concepts and applications within Artificial Intelligence (AI).

The course focuses on developing intelligent agents capable of making decisions and taking actions autonomously. This involves techniques for problem-solving, knowledge representation and reasoning, learning, communication, perception, and action.

By the end of the course, you will be able to:

  • Explain and discuss core concepts in artificial intelligence
  • Apply well-known techniques in artificial intelligence

Course Outline

The course includes lectures dedicated to theoretical content. In the lab sessions, some of the presented theories are implemented. Assessment is based on participation in lab work and a digital written exam.

Recommended Prerequisites

It is recommended, but not required, that you have experience of programming in a functional, imperative, or object-oriented language and knowledge of data structures and algorithms. Familiarity with logic and discrete mathematics is beneficial.

This course is taught jointly with TDDC17. Please note that the course is only available through the KompLätt project and for admitted program students. It cannot be applied for via antagning.se.

Location: Campus Valla, Linköping
Language: English
Duration: Approx. 160 study hours
Course Dates: September 1 – November 2, 2025
Price: SEK 14,500 excluding VAT per participant
Registration closes 3 weeks before the course starts.

Register

Kursansvarig

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Fredrik Heintz

Professor, Head of Division, Head of Unit

Green Computing, 4 credits

In this course, you will learn more about the carbon footprint of information and communication technology (ICT) and its impact on the climate.

Course content:

  • Global perspective on ICT footprint.
  • The life cycle of ICT products: product design, use, end of life cycle, including management of electronic waste.
  • Green ICT related standards and certification approaches.
  • Power-aware computing and power management.
  • Data center sustainability.
  • Tools and metrics to evaluate the energy consumption of products and approaches to improve energy efficiency.

Course Outline

Lectures providing overview on ICT and sustainability, field trip to a commercial data centre, followed by obligatory seminars with student presentations in groups of 10-15 students.

Recommended Prerequisites

It is recommended, but not required, that you have a basic knowledge of digital systems, computer architecture, programming, operating systems, and computer networks.

This course is taught jointly with TDDD50. Please note that the course is only available through the KompLätt project and for admitted program students. It cannot be applied for via antagning.se.

Location: Campus Valla, Linköping
Language: English
Duration: Approx. 107 study hours
Course Dates: January 19 2026 - March 29 2026
Price: SEK 10,000 excluding VAT per participant
Registration closes 3 weeks before the course starts.

Register

Kursansvarig

Photo of Simin Nadjm-Tehrani

Simin Nadjm-Tehrani

Professor, Head of Unit

Cybersecurity – fundamentals and awareness, 3 credits

In this course, you will gain a fundamental understanding of cybersecurity that can provide the foundation and knowledge needed to strengthen security awareness and foster a security culture within your organization.

The course consists of four parts:
  1. Cybersecurity in a societal context: historical background, emerging threats and trends, societal vulnerabilities, countermeasures, legal aspects.
  2. Concepts and prerequisites: information, communication, confidentiality, integrity, availability, assets, threat models, risk, protective measures.
  3. Risk management: definitions, methods for estimating risk, threat assessment, responsibilities and roles, issues with excessive security measures.
  4. Cybersecurity culture: risk awareness, human-centered cybersecurity, incident management.

Course outline

The course is a distance learning course that is mostly self-paced and managed in a web-based learning environment. It is based on self-study of the course material and is assessed through self-correcting tests and one written assignment. The course includes two different assessments, and we offer at least two examination opportunities per semester.

Recommended prerequisites

It is recommended, but not required, that you have basic knowledge of IT system architecture.

This course is taught jointly with ETE352. Please note that this course can be taken free of charge as a standalone course by registering via antagning.se.

Location: Online
Language: Swedish
Duration: Approx. 80 study hours
Course Dates: Flexible admission. You can start the course whenever you want.
Price: SEK 4,500 excluding VAT per participant

Register

Kursansvarig

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Mikael Asplund

Senior Associate Professor

Natural Language Processing (NLP), 3 hp

This course will provide you with theoretical concepts and practical experience in natural language processing (NLP). The focus is on models and algorithms based on deep learning, including large language models such as ChatGPT.

An advanced-level course that covers the following:

  • Introduction to natural language processing
  • Statistical and neural language models
  • Word representations (e.g. word2vec)
  • Syntactic and semantic analysis
  • Neural network architectures (e.g. RNN, Transformer)
  • Large language models (e.g. ChatGPT)
  • Pogram libraries and datasets
  • Evaluation methods
  • Current research and development

Course Outline

The course is designed for self-study and consists of video lectures and programming exercises in Python. There are three two-hour video meetings which require mandatory participation. Between these meetings, you can work with the course material at your own pace. You have access to help and feedback through email and one-to-one video meetings with the course teachers. The examination consists of computer laboratory work and online quizzes.

Recommended prerequisites

It is recommended, but not required, that you have knowledge of programming and machine learning, as well as mathematics (especially discrete mathematics, linear algebra, analysis and probability). The programming language Python is used in the course.

This course is taught jointly with ETE387. Please note that this course can be taken free of charge as a standalone course by registering via antagning.se.

Location: Online
Language: English
Duration: Approx. 80 study hours
Course Dates: September 1 2025 - January 18 2026
Price: SEK 5,500 excluding VAT per participant
Registration closes 3 weeks before the course starts.

Register

Kursansvarig

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Marco Kuhlmann

Deputy Head of Department, Professor, Head of Unit

Contact

Project Leader KompLätt

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Hugo-Henrik Hachem

Postdoc

Project Leader LiU Uppdragsutbildning

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Erica Byström

Head of Unit, Senior Coordinator

Coordinator

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Elin Montecinos

Senior Coordinator

Comissioned Education from LiU

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LiU Commissioned Education

Linköping University offers pre-designed and tailored education to employers who want to strengthen their organizations with new knowledge based on the most recent scientific research.

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