NAIRR Pilot AI Unlocked: Empowering Higher Education through Research and Discover

Introduction to AI-Assisted Coding: Prompt Engineering with LLMs in Google Colab Tutorial

This 1.5-hour beginner-friendly, hands-on tutorial will introduce participants to using Gemini and Google Colab as an AI-assisted coding environment for geospatial analysis. Through prompt engineering, attendees will learn how to guide large language models to write and refine Python code that integrates U.S. Census data with NASA Harmonized Landsat–Sentinel (HLS) normalized difference vegetation index (NDVI) imagery to explore spatial patterns in environmental justice indicators. The session emphasizes practical strategies for working interactively with LLMs to accelerate analysis, lower technical barriers, and generate reproducible, data-driven insights.

Developed by Burch Fisher (burch.fisher@umces.edu) at the University of Maryland Center for Environmental Science (UMCES)

---

Launch notebooks below (right click on icon and open in a new tab):

Prompts Notebook

Cheat Notebook