Phase 3: Training

Training & Knowledge Transfer

We train your team to maintain and evolve automated systems. Desktop GIS, Python automation, cloud-native platforms—using your actual workflows and data. Build autonomous, confident teams that own their automation.

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Training Tracks

Hands-on, practical training with your workflows and data

QGIS for Desktop GIS Work

Professional desktop GIS capabilities with modern, open-source tools

3 days

Duration

Topics Covered:

  • Interface and essential tools
  • Geoprocessing workflows
  • Processing Toolbox and Graphical Modeler
  • Cartography and map production
  • Database connections and data management

Python for Geospatial Automation

Master Python to automate repetitive geospatial workflows

5 days

Duration

Topics Covered:

  • Python geospatial libraries (GeoPandas, Rasterio)
  • Automating repetitive tasks
  • Spatial analysis and geoprocessing
  • Workflow orchestration and scripting
  • Version control with Git

Cloud-Native Geospatial

Work with modern cloud-optimized formats and platforms

3 days

Duration

Topics Covered:

  • Cloud-Optimized GeoTIFF (COG)
  • GeoParquet for vector data
  • STAC for imagery catalogs
  • Databricks / AWS / Azure platforms
  • Cloud-native workflow patterns

Our Approach

Hands-on exercises with your actual workflows
Automation-focused practical examples
Real datasets from your organization
Post-training support (8 weeks office hours)
Code examples and documentation
Team becomes autonomous quickly

Training Outcomes

QGIS Track:

Team productive in 2-3 weeks

Python Track:

Writing scripts in 4-6 weeks

Cloud-Native Track:

Working with modern formats immediately

500+ professionals trained at TU Berlin and corporate workshops. Our teaching experience ensures your team learns effectively and quickly.

Ready to Train Your Team?

Let's discuss your team's needs and design a custom training program to support your automation initiatives

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