Courses Available

Production digitalization (IoT)

Course topics include data quality, governance, process automation using solutions like RPA, and statistical techniques such as regression analysis and hypothesis testing. The curriculum covers time series analysis, forecasting methods, and explores linear and nonlinear optimization, including integer programming. Decision support through data analytics is addressed, covering areas like customer segmentation, supply chain analytics, and spatial analytics. A/B testing, key metrics for AI projects, and a review of Business Intelligence tools are included, along with an examination of the latest advancements in business analytics.

Duration / ECTS credits: 
3x90min



Format: Online

Language:
English

Target:
Bachelor degree

Price:
Free of charge

Available from (date):
April – June 2025

Dates and timetable:
Starts in February 2025 and will be held in the evenings. 2-3 days per week. More information here

Admission dates and procedure:
Registration will be available until 16 January 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before 23 January 2025 regarding their acceptance.

Contact:
Kashif Mahmood

Robot programming

Course topics include data quality, governance, process automation using solutions like RPA, and statistical techniques such as regression analysis and hypothesis testing. The curriculum covers time series analysis, forecasting methods, and explores linear and nonlinear optimization, including integer programming. Decision support through data analytics is addressed, covering areas like customer segmentation, supply chain analytics, and spatial analytics. A/B testing, key metrics for AI projects, and a review of Business Intelligence tools are included, along with an examination of the latest advancements in business analytics.

Duration / ECTS credits: 
3x90min



Format: Online

Language:
English

Target:
Bachelor degree

Price:
Free of charge

Available from (date):
April – June 2025

Dates and timetable:
Starts in February 2025 and will be held in the evenings. 2-3 days per week. More information here

Admission dates and procedure:
Registration will be available until 16 January 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before 23 January 2025 regarding their acceptance.

Contact:
Margus Müür

Business Analytics

Course topics include data quality, governance, process automation using solutions like RPA, and statistical techniques such as regression analysis and hypothesis testing. The curriculum covers time series analysis, forecasting methods, and explores linear and nonlinear optimization, including integer programming. Decision support through data analytics is addressed, covering areas like customer segmentation, supply chain analytics, and spatial analytics. A/B testing, key metrics for AI projects, and a review of Business Intelligence tools are included, along with an examination of the latest advancements in business analytics.

Duration / ECTS credits: 
5 weeks / 6 ECTS

Places available: 10

Format: On-site

Language:
Lithuanian

Target:
ICT graduates

Price:
Free of charge

Available from (date):
February – March 2025

Dates and timetable:
Starts in February 2025 and will be held in the evenings. 2-3 days per week. More information here

Admission dates and procedure:
Registration will be available until 16 January 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before 23 January 2025 regarding their acceptance.

Contact: simona.ramanauskaite@vilniustech.lt

Business Analytics

More information coming soon.

Duration / ECTS credits: 
5 weeks / 6 ECTS

Places available: 10

Language:
English

Dates and timetable: February–March 2025

Enrolment period:
Further details to be announced

Format: On-site

Natural Language Processing

Participants will learn about text-based data sources, retrieval solutions, and data preprocessing techniques, including tokenization and text representation methods. The course delves into sentiment analysis, text classification, part-of-speech tagging, and named entity recognition, with practical exercises in building domain-specific systems. Participants will explore sequence labeling, sequence-to-sequence models, and neural language models for text generation. The course concludes with an overview of question answering, dialog systems, and a review of existing solutions in NLP, along with discussions on new research results and future trends in the field.

Duration / ECTS credits:  5 weeks / 6 ECTS

Places available: 10

Format: On-site

Language:
Lithuanian

Target:
ICT graduates

Price:
Free of charge

Available from (date):
March-April 2025

Dates and timetable:
Starts in March 2025 and will be held in the evenings. 2-3 days per week. More information here

Admission dates and procedure:
Registration will be available until 7 February 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before 14 February 2025 regarding their acceptance.

Contact: simona.ramanauskaite@vilniustech.lt

System Integration

This course explores the definition and significance of system integration, addressing key challenges and trends in the field. Participants will delve into integration architecture and components, covering relational databases and their optimization, as well as NoSQL databases and data warehousing. Data integration concepts and strategies, including Extract, Transform, Load (ETL) processes, will be examined, along with middleware technologies, message-oriented middleware (MOM), and web services with a focus on RESTful API design and integration. The course also encompasses authentication and authorization requirements, Single Sign-On (SSO) solutions, and cloud computing integration, including serverless and microservices architectures. The IoT ecosystem and devices, mobile app development, cross-platform integration, and the evaluation of integration success will be explored. Additionally, participants will review existing integration tools and platforms, concluding with an exploration of current research areas and the future of system integration and architectures.

New courses coming soon.

Duration / ECTS credits: 
5 weeks / 6 ECTS

Places available: 10

Format: On-site

Language:
Lithuanian

Target:
ICT graduates

Price:
Free of charge

Available from (date):
April-May 2025

Dates and timetable:
Starts in April 2025 and will be held in the evenings. 2-3 days per week. More information here

Admission dates and procedure:
Registration will be available until 28 March 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before 2 April 2025 regarding their acceptance.

Contact: simona.ramanauskaite@vilniustech.lt

Sustainable product development and a green turn in materials technology

Familiarize engineers and managers with the materials and technologies used in modern product development, the selection of which must take into account functional and economic aspects as well as sustainability – resource limitations, energy consumption and environmental impact.

Duration / ECTS credits:  6 weeks / 6 ECTS

Places available: 35

Format: On-site

Language:
Estonian

Price:
Free of charge, provided that the training is completed in full.

Dates and timetable:
Available from 31 October 2024 to 06 December 2024. More information here

Admission dates and procedure:
Registration deadline 30 October 2024.

Enrolment period:
05 June 2024 – 30 October 2024

Contact: eveliis.saar@taltech.ee

Fundamentals of Artificial Intelligence 

This course covers the definition, historical development, and prominent role of AI in computer science research. Participants will delve into key AI concepts and terminology, gaining practical skills in data handling, cleaning, and feature engineering. The course will explore various supervised and unsupervised learning methods, including linear regression, logistic regression, decision trees, ensemble methods, clustering techniques, and dimensionality reduction. Emphasis will be placed on practical applications using tools and libraries for building, testing, and analysing models. Additionally, the course will cover data visualisation techniques and explore trends and innovations in AI research, equipping participants with a solid foundation in AI concepts and practical skills for real-world applications.

Duration / ECTS credits:  6 ECTS

Places available: 10

Format: On-site

Language:
Lithuanian

Target:
ICT graduates

Price:
Free of charge

Enrolment period:
September-October 2024

Dates and timetable:
Starts on 5 September, 2024. Registration and more details available here

Admission dates and procedure:
Registration will be available until 23 August 2024. Up to 10 candidates will be selected for the course. All registered persons will be contacted before the 30 August 2024 regarding their acceptance.

Contact: simona.ramanauskaite@vilniustech.lt

Ethical, Legal and Human Aspects of AI and Cybersecurity

This course provides the fundamentals for ensuring the responsible governance of information technology systems with a particular focus on Artificial Intelligence (AI) and other cyber-physical systems. Students examine the societal implications of AI across various domain, fostering critical thinking and ethical decision-making skills. In particular, it explores issues such as accountability, control, privacy, and transparency in AI technologies.

Moreover, an overview of the global landscape of AI governance initiatives is provided before delving further into EU-centric legislative efforts (e.g. AI Act, GDPR, etc). Topics related to security and robustness for the safe use of the technology are also studied. Through hands-on case studies and discussions, students gain a nuanced understanding of the complex interplay between technology, ethics, and society, preparing them to navigate the ethical, legal, and social challenges posed by AI in their professional endeavours.

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