Fundamentals of Artificial Intelligence - MERIT Short Course Series

Fundamentals of Artificial Intelligence is a Massive Open Online Course (MOOC), designed by Vilnius Gediminas Technical University (VILNIUS TECH) within the framework of the Digital Europe Programme-funded MERIT project. 

The aim of MERIT, which stands for "Master of Science in Smart, Secure and Interconnected Systems", is to increase the number of digital specialists via specialised courses. Under the project, 5 new specialised masters in areas like Artificial Intelligence (AI), big data, and cybersecurity have been developed. 

About this course

This course provides a comprehensive introduction to artificial intelligence, combining theoretical foundations with hands-on practical experience. Participants will explore the evolution of AI, key terminology, and its role in modern computer science and industry. The course covers essential data preparation techniques, including data handling, cleaning, and feature engineering, before introducing both supervised and unsupervised machine learning methods.

Learners will gain practical experience using widely adopted AI tools to build, evaluate, and interpret machine learning models. The course also introduces data visualisation techniques and highlights current trends and innovations in AI research, equipping participants with the knowledge and practical skills required to begin working with artificial intelligence solutions.

Course details

• Format: Online, self-paced
• Training dates: Flexible start and completion (ideal for independent learning)
• Duration: Approximately 6–8 weeks (depending on pace)
• Mode: Includes video lectures, interactive exercises, practical assignments, and hands-on machine learning activities

Prerequisites

The course is designed for beginners with an interest in artificial intelligence and machine learning. No prior experience in AI is required. Participants should have basic IT skills and be comfortable using a personal computer to complete practical assignments.

Learning outcomes

• Understand the fundamental concepts, terminology, and historical development of artificial intelligence.
• Prepare datasets for AI applications through data handling, cleaning, and feature engineering techniques.
• Apply supervised learning methods, including linear regression, logistic regression, decision trees, and ensemble methods.
• Apply unsupervised learning techniques such as clustering and dimensionality reduction.
• Build, test, evaluate, and interpret machine learning models using modern AI tools and libraries.
• Create effective data visualisations to support data exploration and model analysis.
• Recognise current trends, challenges, and emerging innovations in artificial intelligence research and applications.

Further details and enrolment 

To access the course, register on the learning platform of MERIT (or log in with an existing account). Then select the Fundamentals of Artificial Intelligence course and use the enrolment key MERIT_FAI. 

Your enrolment will remain active for 60 days.