Learn Geospatial Analysis, GeoAI and Agentic GIS at Your Own Pace
Free Membership gives you foundational courses in Google Earth Engine, image analysis and land cover mapping. Premium Membership (US$550/year) unlocks every premium course, including notebooks, scripts and downloadable manuals, plus free attendance at AI.Geolabs instructor-led online courses and early access to new releases.
Choose the membership plan that best suits your learning needs.
Free Membership
Ideal for beginners and those exploring geospatial analysis. Get started with foundational concepts in remote sensing, image analysis, and Google Earth Engine.
Included Courses
- Exploring Optical and SAR Imagery in Google Earth Engine (GEE)
- Exploratory Image Analysis and Transformation
- Pixel-Based Urban Land Cover Mapping
- Object-Based Urban Land Cover Mapping
Included Resources
- ✓ PDF tutorials and manuals
- ✓ YouTube video tutorials
- ✓ Access to selected free resources and white papers
- ✓ Community updates and newsletters
Premium Membership
Designed for professionals, researchers, consultants, and organizations seeking advanced GeoAI skills and continuous professional development.
Included Courses
- Geospatial Machine Learning in the Age of AI
- Forest Biomass Modeling
- Applied GeoAI for Forest Biomass and Carbon Monitoring
- Deep Learning for Building Footprint Mapping
- Applied SAR Polarimetry for Forest Ecology (upcoming)
- SAR Polarimetry for Disaster Risk Management: Floods and Landslides (upcoming)
Premium Benefits
- ✓ Free attendance in all instructor-led online courses advertised by AI.Geolabs
- ✓ Monthly live office hours: a group online session each month to ask questions, troubleshoot your code, and discuss course labs with your instructor and fellow members.
- ✓ Downloadable PDF manuals, guides, and technical resources
- ✓ Access to GeoAI scripts, notebooks, and toolkits
- ✓ Access to premium white papers and case studies
- ✓ One-on-one consultations: one session per calendar quarter (January–March, April–June, July–September, October–December)
- ✓ Priority access to newly released courses and workshops
- ✓ Continuous course updates and new content additions