Geodata science, machine learning, artificial intelligence
Artificial Intelligence for Geodata
26 Mar 2026 09:00 - 16:30
Nowadays, you can’t escape terms like artificial intelligence, machine learning, deep learning, computer vision, NLP, data science, and more. But what do these terms actually mean, and how can these techniques be applied to geodata to solve your spatial challenges? How do you determine whether AI is the right solution for your problem? Get hands-on during this one-day session that will teach you the concepts, the tools, the typical project workflow, and the pitfalls to avoid.
Practical information:
26 Mar 2026 09:00 - 16:30
6,5
hours
GIM Leuven
English
Target audience: GIS and geodata professionals, project managers and analysts who work with spatial data
Want to register?
- Prerequisites: Basiskennis GIS
- Price: 520,00 EUR excl. 21% BTW - inclusief lunch (n.v.t. in geval van online opleiding) en engelstalig cursusmateriaal
Georganiseerd door:
In this training, you will learn
The basic concepts, tools, development process, and criteria that allow you to evaluate how GeoAI can help solve your spatial problems.
We will dive deeper into how AI works and is developed, but we will not be programming or building models ourselves. For this, GIM offers an advanced course: “Artificial Intelligence for Geodata (Advanced)”.
Topics
- Introduction and fundamental concepts in artificial intelligence, machine learning, deep learning, and GeoAI
- Taxonomy of AI techniques
- Basic concepts such as supervised, unsupervised, and reinforcement learning methods
- Insights into the development process
- Guidance to assess the feasibility of your project and plan projects
- Hands-on experience with GeoAI through a few simple use cases
