Showing all 6 results

  • GeoAI mapping greenspaces

    AI integration to map stress in urban greenspaces

    $697.00

    Review the scope of a capital improvement project Create a geodatabase to contain map layers Publish data to ArcGIS Online Design field data collection forms Develop ArcGIS web apps Define a maintenance plan for GIS features Write Python scripts for geospatial analysis Utilize AI in the GIS tasks Present CIP status to City Council and…

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  • Workflow for sustainable rooftop gardens

    Deploy GeoAI for sustainable rooftops

    $697.00

    Cities have large amounts of rooftop space that can support sustainability goals, but the best use varies from one building to another. This hands-on course teaches you to build a city-scale rooftop sustainability decision-support workflow using ArcGIS Pro, ArcGIS Online, GeoAI, and ArcGIS Data Pipelines. Using New York City as the case study, you will create a rooftop inventory and build two screening models from the same building data: solar suitability and green-roof suitability, each classified as High, Moderate, or Low. You will use a pretrained Esri AI model to identify existing solar installations, compare the two suitability outputs, publish the results to a web map and dashboard, and update the inventory as buildings, permits, zoning, or rooftop installations change. Blue (rainwater-retention) roofs and community rooftops are introduced as extensions of the same framework.

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  • AI assessment of agricultural field

    Develop GeoAI models for precision agriculture

    $697.00

    Review successful GeoAI usecases Construct a GeoAI model Use the Esri GeoAI toolbox Assess model outputs Disseminate results using smart mapping Optimize agricultural resource allocation Create a model to monitor crop health Forecast agricultural results and trends identify variables affecting top yield Create predictive visualizations

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  • GeoAI mapping air pollution

    Program a GeoAI solution to predict air quality in large cities

    $697.00

    Learn how air quality compliance is measured and enforced Utilize Pandas and GeoPandas for spatial analysis workflows Retrieve data from multiple sources and APIs Perform Google Earth Engine analysis and data catalog creation Develop machine learning with scikit learn clustering and sktime time series forecasting Leverage GeoAI scripting using Python Deploy GeoAI techniques using PyTorch…

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  • Warehouse with network map overlaid

    Program an autonomous GeoAI system for retail intelligence

    $697.00

    Architect an end-to-end GeoAI data pipeline tailored for retail intelligence Deploy an enterprise-grade spatial stack (PostGIS/GeoServer) using Docker Engineer unstructured textual data into semantic vector embeddings (pgvector) Design a deterministic, multi-agent swarm architecture using LangGraph Prompt LLMs to autonomously generate and execute complex geospatial tasks Build a secure cloud-to-local bridge, running heavy GPU models on…

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  • Xericaping informed by mapped priorities

    Turn climate change models to a local action plan with GeoAI

    $697.00

    Is your city ready for a changing climate? Global projections are only useful once they are turned into local, mappable insights that decision-makers can act on. This course teaches the fundamentals of translating global climate science into a local action plan your community can use. You will access and downscale climate scenarios from global models (CMIP6); identify and map key climate risks, including extreme heat, drought, wildfire, inland flooding, and coastal flooding; assess vulnerability and exposure; and translate that analysis into an actionable, GIS-driven climate action plan.

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