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micro-module

Elements of AI, Part 2: Building AI

Elements of AI, Part 2: Building AI

Learn about the practical methods that make artificial intelligence a reality
Open for application
DescriptionInformationValue and progressProviders

Description

Building AI a flexible online module for anyone who wants to learn about how practical AI systems can be constructed using machine learning. You will get a solid introduction to machine learning and neural networks, and will learn where and how AI methods are applied in real life. It is easy to move freely between the three difficulty levels, from multiple choice exercises to programming with Python – depending on whether you know programming or not.

The Team

Teamchers

These are the teamchers you'll work with on the challenge.

FL
Fredrik Lindsten
Teacher

Learners

10 learners
Study period
2 February – 5 June 2026
Study format
Online
Application period
19 January – 24 May 2026
Credits
2 ECTS
Hosting university
Linkoping University
Got questions?Reach out to us via our contact form.

Information

Value and progress

Probability theory

Describe the importance of handling uncertainty in machine learning and how probability theory can be used for this purpose.

ESCO SKILLS

Optimisation

Describe how optimisation is used to train machine learning models.

ESCO SKILLS

Common methods in machine learning

Give an account of common methods and models used in machine learning.

ESCO SKILLS

Machine Learning

Describe what machine learning can be used for, as well as its possibilities and limitations.

ESCO SKILLS

Machine learning and data

Describe how data is used to train a machine learning model to solve a given problem.

ESCO SKILLS

Use IT tools

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Hosting university

Linkoping University

Linkoping University