Make your geodata accessible and interactive online with GeoServer—an open-source platform designed for sharing, styling, and integrating spatial data. In this hands-on course, you’ll learn how to publish vector and raster data using standard web services like WMS and WFS, apply custom styling, and connect your services to tools like OpenLayers. Whether you're publishing public maps or building internal applications, GeoServer gives you the tools to do it all.
GeoServer plays a vital role in modern geospatial workflows by delivering geographic data over the web. As an open-source server platform, it lets you publish, share, and style spatial datasets using open standards. This makes your maps and data easy to access—even outside your organization.
With just a few steps, you can serve maps and geographic features using widely supported services such as WMS (Web Map Service) and WFS (Web Feature Service).
Moreover, GeoServer supports a wide variety of data formats. These range from simple shapefiles and GeoJSON to advanced systems like PostGIS and Oracle Spatial. Because of this flexibility, it works well for organizations that manage data from multiple sources. Everything remains accessible through a single, unified web service.
Another key advantage is its user-friendly interface. Even if you’re new to web GIS, you’ll find it easy to load data, configure services, and adjust map styles. No deep technical background is needed.
In addition, GeoServer is backed by a global open-source community. It continues to evolve through new features, regular updates, and detailed documentation. Whether you’re a GIS professional, a developer, or a map enthusiast, GeoServer gives you the freedom to share and manage geodata your way.
In this course, you’ll learn how to install, configure, and use GeoServer to publish your geospatial data. Step by step, we’ll show you how to upload vector and raster datasets, organize them into layers, and make them accessible via WMS and WFS.
You’ll also learn how to create custom map styles using SLD (Styled Layer Descriptor). This allows your data to be both functional and visually engaging. For example, you can highlight categories, apply color schemes, or customize labels—making your maps clearer and more effective.
Managing data access is another key topic. You’ll discover how to set user roles and permissions, so you stay in control of who can view or edit your data.
Furthermore, you’ll integrate GeoServer with open-source tools like OpenLayers. This helps you build interactive, web-based maps that work across different platforms and devices.
By the end of the course, you’ll be ready to build and share your own web-based geospatial services. You’ll also have the skills to customize how they look, behave, and connect within the GIS ecosystem.
This GeoServer course is designed for professionals and enthusiasts who want a clear, practical introduction to web-based geodata publishing. It’s built for real-world use—not just theory—so you’ll leave with skills you can apply right away.
Whether you’re starting your first webGIS project or expanding your open-source toolkit, this course will help you get up and running with confidence.
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.
In the QGIS and GeoServer course, you will learn how to combine the power of QGIS for geospatial data management and GeoServer for web-based GIS applications. Key topics include:
This course is ideal for GIS professionals, web developers, and data managers looking to leverage QGIS and GeoServer for spatial data publishing and web mapping applications.
This course teaches you how to install, configure, and use GeoServer to publish spatial data, while integrating QGIS for data preparation, styling, and analysis.
Basic familiarity with GIS concepts is helpful, but the course is designed to guide you step by step, making it accessible for both beginners and professionals.
You’ll use QGIS to prepare vector and raster datasets, create custom styles, and connect directly to GeoServer services for seamless workflows..
By the end of the course, you’ll be able to publish spatial data as web services, apply SLD styles, manage access and security, and integrate GeoServer outputs into tools like QGIS, OpenLayers, and Google Earth
