Artificial Intelligence for Professionals
In the QGIS Notebook LM course, you’ll learn how to combine QGIS with Notebook LM to carry out GIS projects more quickly and in a more structured way. You’ll discover how to use documentation, datasets, and analysis results as a source for AI support within your QGIS workflow. Notebook LM helps explain steps, summarize analyses, and structure project knowledge. The course focuses on a practical, reproducible GIS workflow that requires no programming knowledge.
Do you want to work smarter with QGIS projects, documentation, and analyses, without additional tools or programming knowledge? In the QGIS Notebook LM course, you’ll learn how to combine QGIS with Notebook LM to make GIS work more efficient, insightful, and better substantiated with AI support.
QGIS is a powerful open-source GIS platform for analyzing and visualizing geographic data. In this course, you’ll build on your existing QGIS knowledge and discover how to use Notebook LM as an AI assistant for your own GIS resources, such as manuals, project documentation, datasets, analysis results, and reports. You’ll learn how to have complex QGIS workflows explained, summarize analyses, and structure project knowledge based on your own materials.
Notebook LM works fundamentally differently from a standard chatbot. The AI relies exclusively on documents and sources that you add, ensuring that answers remain contextual, verifiable, and substantively relevant. This makes it particularly suitable for GIS projects where accuracy, reproducibility, and transparency are essential.
In the QGIS Notebook LM course, you’ll integrate AI directly into your daily GIS workflow. Whether you’re working on spatial analysis, cartography, policy support, research, or data-driven decision-making, you’ll learn how AI helps you gain insights faster, reduce manual work, and deliver better-documented projects.
You’ll work with open-source tools, take the course at your own pace, and develop a future-oriented skill set at the intersection of GIS, knowledge management, and AI. Innovative, yet practical and clearly explained.
Please note! This course requires prior knowledge of QGIS. If you don’t have this yet, we recommend the QGIS Basic Training.
In this course, you’ll learn step-by-step how to effectively use Notebook LM within QGIS projects. You’ll start with the basics: what Notebook LM is, how it differs from generic AI tools, and how to use it safely and purposefully with your own GIS resources.
Next, you’ll get hands-on experience with:
In addition, you’ll be introduced to applications such as:
Through clear explanations and practical examples, you’ll learn how to use AI support critically and effectively, without losing control over your data and analyses.
In short: a practical introduction to AI-supported work with QGIS, with a focus on understanding, structuring, and applying.
This course is unique because it demonstrates how AI adds concrete value to GIS work, without code, scripts, or complex AI models. While AI often remains abstract, this course shows you how to use Notebook LM directly as an extension of your QGIS knowledge.
You will learn, among other things:
The course is designed for self-paced learning, with a strong focus on practical applicability in real-world GIS scenarios.
Do you want to work more efficiently, gain better insight into complex GIS projects, or be prepared for AI-supported work in geoinformatics? Then this course offers a solid and future-proof foundation.
This course is intended for GIS users who want to enhance their workflow with AI support. Do you work in spatial planning, the environment, research, policy, cartography, education, or consulting? Then QGIS Notebook LM offers immediate added value.
You don’t need any AI experience, but you do need a basic knowledge of QGIS. The course is practical in nature and focused on working with your own GIS data.
Do you regularly work on complex projects, handle a lot of documentation, or perform recurring analyses, and do you want to use knowledge and insights more effectively? Then QGIS Notebook LM is a logical next step.
On the first day, you’ll lay the groundwork for working with Notebook LM within QGIS projects. You’ll learn what Notebook LM is, how it differs from generic AI tools, and why it’s particularly well-suited for GIS applications where reliability and reproducibility are key. You’ll get hands-on experience collecting and preparing sources, such as QGIS manuals, project documentation, datasets, and analysis descriptions. Next, you’ll learn how to use Notebook LM to explain QGIS steps, clarify workflows, and summarize complex analyses based on your own material. By the end of the day, you’ll be able to use Notebook LM effectively as an AI assistant for understanding and documenting QGIS work, without losing control over content and context.
On the second day, the focus is on in-depth exploration and practical application in realistic GIS scenarios. You will learn how to use Notebook LM to structure project knowledge, document assumptions, and support reporting and decision-making. You’ll work with examples from spatial analysis, cartography, and policy or research projects, and see how AI can help verify workflows, compare alternatives, and clearly formulate conclusions. We’ll also cover best practices: how do you use AI critically, transparently, and reproducibly within professional GIS projects? By the end of day two, you’ll be able to systematically integrate Notebook LM into your QGIS workflow, allowing you to work more efficiently, document better, and gain faster insights into complex geoinformation.
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
You will learn how to use Notebook LM to analyze QGIS manuals, project documentation, datasets, and analysis descriptions. The AI helps you explain workflows, summarize analyses, and organize project knowledge based on your own sources.
No. Notebook LM does not perform GIS operations in QGIS, but helps you understand, document, and verify analyses. The actual GIS operations continue to take place entirely within QGIS.
You will work with QGIS documentation, course materials, project notes, analysis descriptions, tables, and reports. The course shows you how to select and combine these sources to obtain contextual and reliable AI responses.
Notebook LM helps document and organize workflows, decisions, and assumptions. This results in clear project documentation that is easier to replicate, verify, and transfer within professional GIS projects.
Yes, prior knowledge is highly recommended and is also required to take this course. If you don’t have this knowledge yet, we recommend the QGIS basics course.
