Unlock a smarter way of working with geospatial data by combining the analytical strength of QGIS with the conversational power of ChatGPT. Whether you're building maps, performing analyses, or streamlining repetitive tasks, this hands-on course teaches you how to use natural language to interact with your data and create intelligent, automated GIS workflows. Designed for GIS professionals, data analysts, and curious learners alike, this course helps you accomplish more—with less effort.
ChatGPT and QGIS
GeoAIGeoAI
ChatGPT and GIS
Geospatial technology is advancing rapidly—and artificial intelligence is becoming a key part of that evolution. QGIS, a widely used open-source GIS platform, has long empowered users to manage, analyze, and visualize spatial data. Now, with the integration of ChatGPT, it’s possible to interact with this data using simple, conversational language.
This combination unlocks a new level of accessibility and efficiency. Instead of memorizing complex syntax or writing scripts from scratch, you can describe what you want to achieve, and let ChatGPT help you get there faster. Whether you’re extracting insights from a map, automating routine tasks, or developing custom tools, bringing ChatGPT into your QGIS workflow simplifies the process and enhances your capabilities.
As more organizations adopt AI tools to support data-driven decision-making, knowing how to work with ChatGPT in a GIS environment gives you a competitive edge. This course introduces you to that potential with real-world use cases, practical exercises, and strategies you can apply immediately.
What you will learn
This course walks you through the process of integrating ChatGPT into your QGIS workflow. You’ll begin by setting up the necessary tools, including connecting ChatGPT to your Python environment in QGIS. From there, you’ll learn how to use natural language to perform tasks such as querying datasets, executing spatial operations, and identifying map features.
You’ll also explore how to automate these processes using ChatGPT to assist with or generate Python scripts tailored to your data. The course dives into interactive mapping using libraries like Bokeh and Folium, and shows you how to embed your results into Jupyter Notebooks for analysis or reporting.
As you move into more advanced content, you’ll work with external datasets, perform complex queries, and build custom outputs with the help of ChatGPT—serving both as a coding assistant and a learning companion. You’ll apply your knowledge in practical projects that reflect real-world challenges, building tools and interfaces that are ready to use in your work.
Why choose this course
If you’re ready to combine practical GIS skills with the power of AI, this course gives you the tools to do just that. The integration of QGIS and ChatGPT is still new for many in the field, which means gaining these skills now puts you ahead of the curve. We’ve built this course to be hands-on, relevant, and grounded in real-world use cases—so what you learn can be applied immediately in your projects or job.
- Get started with practical exercises from day one, using real datasets and receiving direct guidance
- Learn from instructors who are not just experts in GIS and AI but also experienced in applying these tools in professional settings
- Focus on real-world tasks and outcomes—not just theory—so your learning stays practical and useful
- Build future-ready skills by combining two of today’s most in-demand technologies: geospatial analysis and AI
Course structure
Day 1
You’ll begin with a guided introduction to ChatGPT and QGIS, exploring how they can be integrated for real-world spatial workflows. You’ll set up a Python environment, connect to ChatGPT via its API, and run your first basic queries. The session also includes a primer on Python scripting, with ChatGPT assisting in writing, understanding, and improving your code.
Day 2
You’ll apply your new skills by building interactive maps using Python libraries like Bokeh and Folium. These maps are then embedded in Jupyter Notebooks for visualization and reporting. You’ll also practice refining your ChatGPT queries to improve the accuracy of results, automate repetitive tasks, and retrieve data from spatial layers more efficiently.
Learning Outcomes
- Gain the ability to create interactive maps with Python and embed them in Jupyter Notebooks
- Learn to use ChatGPT for spatial analysis and visualization with natural language prompts
- Understand how to integrate and optimize ChatGPT within QGIS to streamline your workflow
- Master advanced spatial operations with Python and AI, and generate automated insights
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Questions about ChatGPT & QGIS
In this course you will learn how to integrate ChatGPT into QGIS for natural language interaction and advanced geospatial analysis methods.
This course is ideal for starting geo specialists, experienced geo professionals, companies in the geo sector, retraining students, and educational institutions.
It is a 2-day training in which you will gain practical skills and knowledge about integrating ChatGPT into QGIS.
You will learn how to analyze, visualize and present geographic data, and how to import and integrate this data with Python and Jupyter notebook.
You can register directly via the registration widget or by emailing to info@geo-ict.com.
Yes, upon successful completion of the course you will receive a certificate of participation.
Yes, our experienced teachers are ready to answer your questions and provide personal support.
The course consists of two days. Day 1 focuses on general knowledge of ChatGPT and QGIS, including integrating the ChatGPT model into QGIS workflows.
You’ll learn to create interactive geographic maps with Python libraries such as bokeh and folium, build advanced ChatGPT models, and apply advanced geospatial analysis methods.
Yes, after the course you can still ask questions to the teacher via email for two weeks.