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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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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Learn how cell tower suitability works for telecom Understand compliance with NEPA and ESA Consult State Historic Preservation Office Interpret lease exhibits and construction drawings Configure ArcGIS Field Maps Prepare raster dataset layers for your project Create API requests for sensitive species data Create Web Maps to share to audience Utilize AI for final technical…
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Analyzing environmental justice issues Map out tree canopy inequity Use iTree to quantify tree value Program Python code to integrate APIs Create web maps with analysis results Publish hosted feature layers Create a Survey123 data form Configure ArcGIS Hub for public feedback Test data input and evaluate measured results
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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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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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Review oil and gas environmental compliance Mine for public environmental datasets Convert environmental survey plans to GIS datasets Process LiDAR data into DEMs Import GPS field data Build intelligent geodatabases Map wetlands using AI image processing Stream web mapping services Compile an environmental regulatory report
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Learn how indoor and architectural LiDAR data is captured with mobile SLAM systems Inspect indoor point clouds to assess spatial extent, density, and data quality Reduce point-cloud density while preserving architectural structure Verify point-cloud transformations using quantitative indicators Remove noise and artifacts common in indoor SLAM scans Normalize elevations and reference point clouds for building-scale…
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Apply project management principles on healthcare initiatives Automate reporting processes using analytics tools Integrate data from multiple sources into a centralized dataset Apply Lean Six Sigma principles to process improvement Develop and apply DAX measures for advanced analytics in Power BI Use Power Query to clean, transform, and integrate healthcare data Apply modeling principles to…
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Understand the organizational response to disasters Work through an ArcGIS Online workflow to create disaster analysis products Import accurate and timely geographic layers Implement field survey and data collection tools Apply geoprocessing tools to the disaster response problem Communicate results with visualization tools Define the ethical implications of citing and sharing disaster-related content Author a…
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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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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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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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Review the growth of the Senior Living industry List the criteria for site selection and development Learn a workflow using Business Analyst software Turn CSV files into geocoded map layers Design infographics and reports Customize variables to generate alternative sites Develop an interactive webmap using Experience Builder Present prioritized site alternatives to stakeholders
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