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Advanced QGIS: Workflows, Automation & Web GIS

Master QGIS Processing, Automation, PyQGIS, Plugins and QGIS Server

Course Introduction

QGIS is more than a desktop mapping and visualization tool. With its powerful Processing Framework, PyQGIS scripting capabilities, plugin ecosystem and QGIS Server, it can become a complete platform for building repeatable GIS workflows, automating spatial operations and publishing geospatial data on the web.

The Advanced QGIS: Workflows, Automation & Web GIS course is designed for GIS professionals who already understand the fundamentals of QGIS and want to move towards advanced spatial analysis, workflow automation, customization and web-based GIS.

The course combines advanced QGIS tools, graphical workflows, Python automation, plugin development concepts and QGIS Server through practical, real-world exercises.


What Will You Learn?

Advanced QGIS Workflows

  • Design efficient and repeatable GIS workflows
  • Use the QGIS Processing Framework
  • Build multi-step geospatial processing models
  • Create reusable Graphical Modeler workflows
  • Work with batch processing for large numbers of datasets
  • Automate repetitive GIS operations

Advanced Spatial Analysis

  • Advanced vector and raster processing
  • Spatial joins and overlay operations
  • Buffer, intersection, dissolve and proximity analysis
  • Raster calculations and raster-based analysis
  • Terrain analysis and DEM processing
  • Coordinate reference system and transformation workflows
  • Data conversion and geoprocessing using GDAL

PyQGIS & GIS Automation

  • Introduction to Python for QGIS
  • QGIS Python Console
  • PyQGIS API and core concepts
  • Access and manipulate layers programmatically
  • Automate spatial processing
  • Create scripts for repetitive GIS tasks
  • Work with attributes, geometries and spatial operations
  • Develop reusable GIS automation scripts

QGIS Plugins

  • Understanding the QGIS plugin ecosystem
  • Installing and managing plugins
  • Plugin architecture and capabilities
  • Using plugins to extend QGIS functionality
  • Introduction to developing custom QGIS plugins
  • Creating customized GIS tools and workflows

QGIS Server & Web GIS

  • Introduction to QGIS Server
  • QGIS Server architecture
  • Publishing QGIS projects as web services
  • WMS, WFS and OGC service concepts
  • Configure QGIS projects for web publishing
  • Styling and cartographic configuration
  • Connect QGIS Server with web GIS applications
  • Introduction to QGIS Server administration and deployment

Enterprise GIS Workflows

  • Designing standardized GIS workflows
  • Desktop-to-server GIS architecture
  • Managing large spatial datasets
  • Connecting QGIS with PostgreSQL/PostGIS
  • Integrating QGIS with GeoServer and other OGC services
  • Automating data preparation and publishing workflows

Learn by Building: Hands-on Exercises

The course focuses on practical implementation rather than only learning individual QGIS tools.

Exercise 1 — Build a GIS Processing Workflow

Create a multi-step workflow that:

Input Data → Cleaning → Projection → Spatial Analysis → Attribute Processing → Output Dataset

Participants will learn how to convert repetitive GIS operations into reusable processing models.

Exercise 2 — Automate GIS Tasks with PyQGIS

Develop Python scripts to:

  • Load spatial datasets
  • Read and update attributes
  • Perform spatial operations
  • Run QGIS processing algorithms
  • Generate output datasets
  • Automate repetitive GIS tasks

Exercise 3 — Batch Geoprocessing

Process multiple spatial datasets automatically using:

  • Batch Processing
  • Graphical Modeler
  • GDAL tools
  • QGIS Processing Framework

Exercise 4 — Develop a Custom GIS Tool

Participants will understand the structure of a QGIS plugin and develop a simple customized GIS functionality using Python.

Exercise 5 — Publish GIS Data with QGIS Server

Build a complete workflow:

PostGIS → QGIS Project → QGIS Server → OGC Services → Web GIS Application

Participants will publish spatial data through standards-based web services and understand how desktop GIS workflows can be extended to web applications.


Practical Workflow

From Desktop GIS to Web GIS

Spatial Data

QGIS Processing & Analysis

Graphical Modeler / PyQGIS Automation

PostGIS / Spatial Database

QGIS Project & Styling

QGIS Server

WMS / WFS / OGC Services

Web GIS Application

This approach helps participants understand how QGIS can fit into a broader enterprise geospatial architecture.


Who Is This Training For?

This course is suitable for:

  • GIS Analysts
  • GIS Developers
  • Geospatial Engineers
  • Spatial Data Scientists
  • Remote Sensing Professionals
  • Survey & Mapping Professionals
  • Government GIS Professionals
  • Urban Planning Professionals
  • Environmental & Agriculture GIS Professionals
  • Web GIS Developers
  • GIS Administrators
  • Professionals working with enterprise GIS platforms

It is particularly useful for organizations looking to standardize, automate and scale their GIS workflows.


Prerequisites

Participants should have:

  • Basic to intermediate knowledge of QGIS
  • Understanding of vector and raster data
  • Basic GIS and spatial analysis concepts
  • Familiarity with coordinate reference systems
  • Basic understanding of databases is beneficial
  • Basic Python knowledge is helpful but not mandatory

Duration

3 Days

The duration can be customized depending on the depth required:

  • 2 Days: Advanced QGIS, Processing, Workflows & PyQGIS
  • 3 Days: Advanced QGIS + PyQGIS + Plugins + QGIS Server

Customized enterprise programs can include organization-specific datasets and workflows.


Training Modes

  • 🏢 Onsite Training
  • 💻 Live Online Training
  • 🔄 Hybrid Training
  • 👥 Corporate / Government Group Training
  • 🎯 Customized Organization-Specific Workshops

Training can be delivered using participants' own datasets and real project workflows.


What You Will Be Able to Do

By the end of the training, participants will be able to:

✓ Build advanced GIS processing workflows in QGIS
✓ Create reusable models using Graphical Modeler
✓ Automate repetitive GIS tasks using PyQGIS
✓ Perform advanced vector and raster processing
✓ Process multiple datasets efficiently using batch workflows
✓ Understand and work with QGIS plugins
✓ Develop customized GIS tools using Python
✓ Connect QGIS with PostgreSQL/PostGIS
✓ Configure QGIS projects for web publishing
✓ Publish GIS data using QGIS Server and OGC services
✓ Design workflows connecting desktop GIS, spatial databases and Web GIS
✓ Build more efficient and scalable enterprise GIS processes


Why Advanced QGIS?

Move beyond “using QGIS” to “building GIS workflows with QGIS.”

This course helps GIS professionals transition from manual desktop operations to automated, repeatable and web-enabled geospatial workflows using the open-source QGIS ecosystem.

Duration: 3 days

Mode: Both Online & Offline