The Modern GIS Accelerator takes you from ArcGIS-dependent to independently building with open-source geospatial tools in 14 days. Portfolio projects. AI-native development. No fluff.
We surveyed 981 GIS professionals. Here’s what they told us is holding them back:
New frameworks, formats, and platforms launch every month. You’re paralyzed by options and exhausted by hype. You need someone to tell you what actually matters.
Your entire career has been built on proprietary tools. You know there’s a modern stack out there, but you don’t know where to start—or if your experience still counts.
You see AI transforming how people build software, but you don’t know how to apply it to GIS workflows. You need a framework, not just another ChatGPT demo.
You’ve done years of GIS work, but nothing lives at a public URL. When you apply for modern roles, you have nothing to point to that proves you can build.
University certificates take semesters. Bootcamps take months. You need to level up now—while working your current job—and can’t afford to wait.
You keep hearing about GeoParquet, PMTiles, and the lakehouse pattern. But nobody has explained what any of it means in terms you can act on.
Every part of the course ends with a deployed, documented project. These aren’t hypotheticals—they’re real work at real URLs.
A shell script that downloads public geospatial data, converts across formats with GDAL, and organizes outputs—pushed to GitHub with an annotated README.
A complete urban analysis delivered twice: five progressive SQL queries and a Python notebook with choropleth visualizations and GeoParquet export.
Your Part 2 analysis results converted to PMTiles and displayed on an interactive web map with clickable popups, a legend, and styled layers.
A full end-to-end project of your choosing: data ingestion, spatial analysis, web visualization, and a README written as a professional case study.
4 parts. 20 lessons. 8 mini-lectures. 4 ESRI Bridge lessons. All focused on the 20% that gets you 80% of the capability.
Replace proprietary dependency with a connected toolkit you control. QGIS setup, command line + GDAL mastery, shell scripting, and the AI operating model.
SQL and Python from zero to building real analyses. PostGIS via Docker, spatial queries, GeoPandas pipelines, and the integration pattern that connects them.
Ship your analysis as a live web map. Cloud-native formats, MapLibre GL JS + PMTiles, GitHub Pages deployment, and optional Streamlit apps.
Cloud architecture that makes sense, DuckDB querying Overture Maps from S3, the platform landscape, and your capstone project.
Your relationship with AI evolves as your foundation deepens. By Day 14, you’re building 3x faster because you know enough to direct AI effectively.
Describe a GIS task in plain English. AI generates the CLI command. You execute and verify the output.
Write your SQL and Python first. AI reviews your code, explains differences, and helps you spot-check spatial output.
You make the design decisions. AI generates MapLibre boilerplate, popup templates, and CSS. You read and modify.
You architect the full pipeline. AI generates code across SQL, Python, and JavaScript. You verify and ship.
A $27K salary increase means the $699 course investment is recovered in your first 10 days at the new rate. Everything after that is return.
“I’m 46, changing careers, enrolled in a GIS program through UCSD which is very much based in ArcGIS Pro. Since discovering your content it seems like everything has moved away from setups like ArcGIS and it’s overwhelming to figure out where to start.”
“I’ve been working in the field for almost 15 years, but in the last five I’ve got lost. I did an MA in GIS to update myself, but I couldn’t synchronize with new tech. I need guidance to really catch up.”
“I have a desktop GIS background and that still feels relevant, but I don’t know where to begin to make the transition to where geospatial data and analysis are headed. Is my ArcGIS Pro experience moot?”
“I want to learn spatial SQL. I have zero knowledge of SQL. Should I learn it first and then focus on spatial SQL?”
“I recently graduated and want to add more tools to my tool belt. More in the automation or imagery analysis sense. I feel I’m getting better with ArcGIS Pro but want more.”
“New technologies are popping up every few weeks; keeping up with them is a challenge. Summaries, interactive learning methods, practice with data, and setup guides might help.”
The Accelerator is the course. Spatial Lab is the community that includes the course plus ongoing support. Here’s how they compare:
Based outside the US? Regional pricing may be available →
14 days. 4 portfolio projects. One modern stack. Start today.
Enroll Now — $699