GeoAI Foundations

About this course

Connect geospatial analysis and artificial intelligence through spatial data preparation, validation, uncertainty and responsible use.

This foundation course is part of the GeoAI & Geospatial Intelligence school. The curriculum includes an estimated 11 h of study content. Instructor-led delivery is available online or offline; session schedules are confirmed during enrollment.

Course curriculum

• Module 1 — What GeoAI Is
• Module 2 — Geospatial Data for Machine Learning
• Module 3 — Spatial Autocorrelation and Honest Validation
• Module 4 — The GeoAI Workflow
• Module 5 — Imagery and Deep Learning in Brief
• Module 6 — Uncertainty and the Area of Applicability
• Module 7 — Ethics, Privacy and Licensing

Applied learning

• Case Study — Pennard: 1,800 Hectares of Heath, Most of It Under Water
• Lab 1 — A first spatial model, validated honestly
• Lab 2 — Label quality and its effect
• Lab 3 — A prediction map with an applicability mask
• Capstone — A GeoAI Map You Can Defend

Who this course is for

Student / Beginner; GIS / Remote Sensing Professional; Data Professional; Researcher

Prerequisites

No prerequisite course is listed in the academy catalog.

Course details

• Course code: NE-GEO-105
• Level: Foundation
• Estimated duration: 11 h
• Delivery: Self-Paced