Start of studies
Spring semester 2028
Form of education
Distance, Mixed-time, 1/5
Language
English
Period
2028 week 3 until 2028 week 22
Admission to the course requires at least 120 credits, of which at least 90 credits are in a technical area, and a minimum of 2 years professional experience within an area related to software-intensive product and/or service development (shown by, for example, a work certificate from an employer).
Digitalisation and internet connectivity have changed our society and industry from the ground up. The next significant technological revolution is called artificial intelligence. This new technology is at the core of the business model for companies like Amazon, Facebook, Google, and Twitter. Today’s AI is based on machine learning – software that learns. This type of software has captured the interest of researchers for decades, but the last five years have witnessed mass-scale implementation in products and services and introduction to the mainstream. This course is about machine learning engineering. That is the knowledge and skills required to develop software that learns and adapts. We will introduce you to this topic and teach you how to develop learning software in practice within a range of application areas. The course will also teach you which tasks can be digitalised and automated and which tasks humans should perform.
Admission to the course requires at least 120 credits, of which at least 90 credits are in a technical area, and a minimum of 2 years professional experience within an area related to software-intensive product and/or service development (shown by, for example, a work certificate from an employer).
Study subject
Software Development
Level
A1N
Registration code
BLQW7
Course code
PA2595
