**UPD: On-demand access available. The live session has already taken place, and you can now purchase access to the full recording, materials, and Q&A replay.**
🎥 What you get:
- Full webinar recording (120 minutes total)
- Slides, datasets, and QGIS project files
- 2 practical exercises to practice at your own pace
🎁 **Bonus**: You’ll also get access to **150+ curated geospatial data sources** gathered from international portals **across 25+ countries**. All datasets are free to download and clearly categorised by theme, including mobility, urban planning, heritage, and environment, making it easy to find relevant data and keep experimenting long after the session.
📩 After purchase, you’ll receive an email with all access links and resources shortly.
**You can purchase it [here](https://buy.stripe.com/dRmfZigA02YA4iM2CBaZi22) or via the button Register below - we will send you all the materials shortly. If you have any questions, please reach out at
[email protected]**
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## Workshop Description
This webinar goes beyond the hype of AI and focuses on practical, real-world skills for urban practitioners.
You’ll see two applied approaches in action:
- Soft connection: using LLMs alongside QGIS to write expressions, clean datasets, generate queries, and guide analysis
- Integrated connection: linking an AI model directly inside QGIS for more advanced and fluid interaction
You’ll learn where AI adds value, where it doesn’t, and how to combine AI tools with core GIS methods in everyday urban workflows.
##💡 Why This Session Is Worth Your Time
AI tools like ChatGPT and Claude are everywhere. This session cuts through the noise and focuses on what actually works in daily GIS practice. You’ll see when AI helps solve problems, when native QGIS tools are more effective, and how to combine both without compromising spatial reasoning. The takeaway is transferable skills, not trends.
## 🧭 What You’ll Get Access To
### 1. Practical workflows (recorded)
Two complete workflows demonstrated step by step:
- AI-assisted expressions, data cleaning, styling, and analysis in QGIS
- AI model integration inside QGIS using an MCP setup
You can pause, rewatch, and apply everything to your own projects.
### 2. Hands-on materials
- The exact datasets and QGIS project used in the session
- Example prompts for expressions, SQL, and data cleaning
- Two guided mini exercises for independent practice
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## 🎯 What You’ll Walk Away With
- A clear understanding of when AI adds value in GIS and when it doesn’t
- Strong prompting strategies for common QGIS tasks
- A better grasp of how AI can enhance, not replace, spatial reasoning
- Practical, repeatable AI-aided GIS workflows for urban projects
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## 🧑🏫 Guest Expert
**Adam Eriksson** is an Urban Data Analytics Expert and Founder of **Skikt**, a company that provides solutions to model the value of location.
Previously at **Gehl**, Adam worked on geospatial analysis and urban storytelling across dozens of cities worldwide. In recent years, he has systematically integrated AI into his daily GIS workflows to improve data preparation, analytical depth, and communication of insights for organisations and clients.
This session is part of a new expert-led series from The GeoSpatial Hub powered by All Things Urban, our learning and consulting initiative supporting practitioners and teams in building applied, future-ready GIS skills. Curated by Juan Pablo Corral, Educational Director at The GeoSpatial Hub, the series brings in international voices working at the forefront of spatial analysis.