Udemy
LLM Engineering in Practice with Streamlit and OpenAI
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Agentic AI in GISGIS AgentsAgentic AI GISAgentic GISGeospatial AIArtificial Intelligence GIS
Build Intelligent Geospatial Systems That Think and ActPowered by GPT-4, OpenAI and PythonAgentic AI is reshaping geospatial intelligence. This course shows you how to lead the shift.
In this hands on course, you'll learn to build autonomous GIS agents using Python, GPT-4 (OpenAI API), and GeoPandas. Your agents will understand spatial goals, discover and analyse real world data from OpenStreetMap, and generate actionable insights. All without expensive GIS software licenses.
This goes far beyond asking ChatGPT for help. You'll build autonomous systems that reason through spatial problems, fetch real data, and deliver production ready results. No human prompting needed at each step.
Move beyond basic automation. Gain the skills to design intelligent GeoAI systems that think and act on real world challenges like urban planning, disaster response, healthcare accessibility, and environmental analysis.
Tools and Technologies You'll Use:✓ Python 3.x: The foundation for everything✓ OpenAI API (GPT-4): Powers the intelligent reasoning✓ Streamlit: Build professional dashboards without web development✓ GeoPandas and Shapely: Spatial data analysis✓ OpenStreetMap (Overpass API): Free global geographic data✓ Open-Meteo Weather API: Real time environmental data✓ Jupyter Notebooks: Interactive development environment
No ArcGIS or QGIS required. Everything runs on free, open source tools.
What Makes This Course Different?
You won't just learn theory. You'll build working systems using real OpenStreetMap data and production style logic. Every concept is demonstrated through practical projects, from emergency response routing to neighbourhood intelligence tools.
Most AI tutorials teach you to prompt ChatGPT. This course
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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