Free and open access

We have published all of our learning materials as open resources – including our full-length courses, videos, tutorials and notebooks.

No sign-up, no ads and no paywall: use it to learn on your own or to teach.

20+ Full courses OpenCourseWare 50+ QGIS tutorials QGIS Tutorials and Tips 25+ GeoPython tutorials Geospatial Python Tutorials
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Released under the Creative Commons Attribution licence (CC BY): share and adapt it freely, with credit.

Learning paths

To help you explore our vast learning resources, we have organized them as learning paths. Pick a technology to jump to its path, or scroll down to see them all. Each step is colour-coded by the level you need to start it.

QGIS

  1. Beginner 2 weeks
    Take the Introduction to QGIS course

    Also offered as an instructor-led class

  2. Beginner 4 weeks
    Complete Beginner QGIS tutorials
  3. Beginner 1 week
    Complete the QGIS Expressions Masterclass workshop
  4. Intermediate 2 weeks
    Take the Advanced QGIS course

    Also offered as an instructor-led class

  5. Intermediate 2 weeks
    Complete Intermediate QGIS tutorials
  6. Intermediate 2 weeks
    Complete Spatial Analysis Challenges
  7. Intermediate 2 weeks
    Review and practice tutorials from our QGIS Articles
  8. Intermediate 4 weeks
    Complete Network Analysis and Urban Planning tutorials
  9. Intermediate 2 weeks
    Complete Expression Tutorials
  10. Advanced 2 weeks
    Take the Customizing QGIS with Python course
  11. Advanced 1 week
    Complete the QGIS Automation using Actions workshop
  12. Advanced 2 weeks
    Review and practice tutorials from our PyQGIS Articles

Python

  1. Beginner 2 weeks
    Take the Python Foundation for Spatial Analysis course

    Also offered as an instructor-led class

  2. Intermediate 4 weeks
    Complete our Geospatial Python Tutorials
  3. Intermediate 2 weeks
    Take the Agentic Coding for Geospatial course

    Also offered as an instructor-led class

  4. Intermediate 2 weeks
    Take Cloud Native Remote Sensing with Python

    Also offered as an instructor-led class

Google Earth Engine

  1. Beginner 5 hours
    Quickstart: complete the Introduction to Google Earth Engine workshop with recorded videos
  2. Beginner 4 weeks
    Deep dive: take the End-to-End Google Earth Engine course
  3. Beginner 4 weeks
    Work through Chapters F1 through F5 of the EEFA open access book and videos
  4. Intermediate 2 weeks
    Complete a Guided Project
  5. Intermediate 2 weeks
    Work through Chapter F6 and selected chapters from A1-A3 of the EEFA open access book
  6. Intermediate 4 weeks
    Take the Google Earth Engine for Water Resources Management course
  7. Intermediate 2 weeks
    Take the Creating Publication Quality Charts with GEE course
  8. Intermediate 2 weeks
    Review and practice tutorials from our Google Earth Engine Articles

GDAL

  1. Beginner 2 weeks
    Take the Mastering GDAL Tools course and complete a project
  2. Intermediate 2 weeks
    Review and practice tutorials from our GDAL/OGR Articles