What is this course about?

As the challenges facing National Statistics Offices become more complex, Geographic Information System (GIS) software enriched with AI has become a key technology for meeting the moment.

GIS software analyzes complex systems and vast datasets to enhance operations. When combined with AI, it delivers insights faster and at unprecedented scale, enabling greater automation, prediction, and optimization.

This hands-on course introduces you to the powerful intersection of AI, GIS, and data science — equipping you with practical skills to analyze complex systems, automate workflows, and generate insights at unprecedented speed and scale.

What You'll explore?

1. The fundamentals of GeoAI 
2. Extracting features from imagery using deep learning 
3. Running predictive analytics using spatial statistics AI tools 
4. Large language models (LLMs) and generative AI 
5. Building interactive apps that allow users to explore data through natural language 
6. How AI-enhanced GIS can support automation, prediction, optimization, and smarter decision-making in official statistics.

Instructors

This training course is delivered by Esri — the global market leader in GIS software, location intelligence, and mapping.

Instructors: 
Kate Hess, Business Development Manager for Official Statistics, Esri
Lydia Troup, Solution Engineer, Esri

Requirements

1. No prior GIS experience required 
2. Please bring your laptop for the training session
3. ArcGIS logins will be provided for participants
4. All exercises run directly in your browser 
5. No software installation needed 

Practical information

This short course will take place over a full day. The detailed agenda will be announced shortly.

Please note that places are limited, and we encourage you to secure your participation at your earliest convenience.

The venue of the short courses is the Faculty of Mathematics and Informatics (MIF) at Vilnius University (VU).
Address: Naugarduko g. 24, Vilnius, Lithuania.

Kindly create an account or log in to your existing account and register for the courses using the link below.

For details on the short course fees, please use this link.

The training course participation fee includes morning and afternoon coffee breaks with refreshments. Lunch is not included. However, participants will have the option to purchase lunch at nearby restaurants (details will be announced soon).