Using Spatial Data In Ai Workflows
 

Learn how to combine the power of AI and spatial data to design intelligent tools, automate workflows, and create interactive, location-aware applications.
Course details
AI is transforming how we analyze, interpret, and interact with spatial data, and this course shows you how to be at the front of that shift. Join geospatial data expert Matt Forrest as he covers how language models work, their advantages, and their limitations when applied to spatial data. Learn how to design and scope an AI-powered spatial tool with clear architecture, logical boundaries, and human review. Explore ways to build an MCP integration that enables Claude to analyze and respond to spatial information, and create an agentic workflow that connects location-based insights to language-driven tasks. Finally, learn how to build a dynamic map application that uses AI to filter results and interact with spatial data in real time. This course is an ideal fit for AI developers, data analysts, and geospatial and GIS specialists.
Skills covered
Spatial Analysis, Generative AI, Data Analysis, Artificial Intelligence (AI), Geographic Information Systems (GIS), Spatial Data