Artificial intelligence methods | Microdegree (University of Tartu)

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Objective

The aim of this microdegree program in Artificial intelligence methods is to improve the skills of IT professionals to move towards a career as a machine learning engineer. The programme provides a thorough overview of the operating principles of artificial intelligence systems and practical skills for creating, developing and managing such systems in various fields.

Target group

The programme is designed for IT professionals and those with a technical background who wish to acquire knowledge in the fields of artificial intelligence, machine learning, and data processing.

Admission conditions

At least a bachelor's degree in IT or at least a bachelor's degree and two years of work experience in the IT sector in a technical role.

Learning outcomes

A graduate of this microdegree program can:

Analyse situations where the implementation of machine learning and artificial intelligence systems provides added value
Explain the main components of artificial intelligence systems and how they operate
Assess the data, computational resources and software necessary for the effective implementation of machine learning and artificial intelligence systems
Critically evaluates the assumptions, characteristics and limitations of deep learning architectures and chooses the most appropriate one to solve specific problems
Implement practical machine learning solutions in at least one field (text, machine vision, etc.) by solving specific professional tasks
Critically assess the robustness of models and results;
Plan and implement machine learning and artificial intelligence projects, taking into account the entire data lifecycle
Develops teamwork skills to work in machine learning and artificial intelligence projects