ECIU logo
Image for learning opportunity Elements of AI, Part 2: Building AI
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
DescriptionOutcomesPotential progressInformationProviders

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.

Study format
Online
Application period
1 August 2024 – 12 January 2025
Study period
19 August 2024 – 19 January 2025
Credits
2 ECTS
Pace
0%
Hosting university
Linkoping University
Got questions?Reach out to us via this 

Learning outcomes

Machine Learning

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

ESCO SKILLS

Use ICT systems

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

Optimisation

Describe how optimisation is used to train machine learning models.

ESCO SKILLS

Analyse big data

Probability theory

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

ESCO SKILLS

Identify statistical patterns

Common methods in machine learning

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

ESCO SKILLS

Machine learning

Potential progress

This graph shows the potential you could reach if you take this learning opportunity and how it fits your goal. You can also make a comparison to your current and potential competencies by pressing the buttons.

Less than 5
5 or more
Goal based on on your motivation scan

Entrepreneurship, technology and innovation

We recommend to turn your device to view graph

Media and information literacy

Not sure which competencies suit you?

Take our motivation scan to find learning opportunities that will help you reach your potential goal and growth.

Information

Module content

This micro-module aims to introduce practical AI, focusing on basic machine learning. The goal 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.

Module outline

Elements of AI, Part 2: Building AI is an online module that you can take at your own pace. Simply go to the following website and start the course after you've been admitted: https://buildingai.elementsofai.com/.

The micro-module is based on self-study and is examined with self-correcting tests and submissions. If you have completed the online module Elements of AI, Part 2: Building AI with advanced honors, you can have your results validated. This includes a validation test with questions similar to those found in Elements of AI, Part 2: Building AI. For more information see the module's info page: Elements of AI, Part 2: Building AI.

Hosting university

Linkoping University

Linkoping University