Short Courses
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
Dates and timetable:
Starts on 5th of September. Registration and more details available here
Admission dates and procedure:
Registration for will be available till the 23rd of August 2024. Up to 10 candidates will be selected for the course. All registered persons will be contacted before the 30th of August 2024 regarding their acceptance.
Enrolment period
2024 September-October
Contact: simona.ramanauskaite@vilniustech.lt
Artificial Intelligence System Engineering
The course covers the entire artificial intelligence (AI) project lifecycle, from defining objectives and scoping to deployment and integration, participants will delve into project management methodologies, ethics, and legal considerations in AI development. The course includes hands-on exercises on recognizing and mitigating bias, addressing privacy concerns, and implementing cybersecurity principles. Participants will gain insights into adversarial attacks and defenses, privacy-preserving AI techniques, and documentation strategies. The course concludes with a focus on project closure, exploring success measurement, quality assurance, and emerging trends in IT and AI project management.
Duration / ECTS credits: 9 ECTS
Places available: 10
Format: On-site
Language
Lithuanian
Target
ICT graduates
Price
Free of charge
Dates and timetable:
Starts at the middle of December, will be organized in evenings, 2-3 days per week. here
Admission dates and procedure:
Registration for will be available till the 1st of November 2024. Up to 10 candidates will be selected for the course. All registered persons will be contacted before the 5th of November 2024 regarding their acceptance.
Enrolment period
2024 December – 2025 January
Contact: simona.ramanauskaite@vilniustech.lt
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: 6 ECTS
Places available: 10
Format: On-site
Language
Lithuanian
Target
ICT graduates
Price
Free of charge
Dates and timetable:
Starts at the February 2025, will be organized in evenings, 2-3 days per week. here
Admission dates and procedure:
Registration for will be available till the 16th of January 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before the 23rd of January 2025 regarding their acceptance.
Enrolment period
2024 December – 2025 January
Contact: simona.ramanauskaite@vilniustech.lt
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: 6 ECTS
Places available: 10
Format: On-site
Language
Lithuanian
Target
ICT graduates
Price
Free of charge
Dates and timetable:
Starts at the March 2025, will be organized in evenings, 2-3 days per week. here
Admission dates and procedure:
Registration for will be available till the 7th of February 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before the 14th of February 2025 regarding their acceptance.
Enrolment period
2025 March-April
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.
Duration / ECTS credits: 6 ECTS
Places available: 10
Format: On-site
Language
Lithuanian
Target
ICT graduates
Price
Free of charge
Dates and timetable:
Starts at the April 2025, will be organized in evenings, 2-3 days per week. here
Admission dates and procedure:
Registration for will be available till the 28th of March 2025. Up to 10 candidates will be selected for the course. All registered persons will be contacted before the 2nd of April 2025 regarding their acceptance.
Enrolment period
2025 April-May
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.
