QFieldCloud powers field data collection for thousands of projects, but most users only see the surface. This hands-on workshop goes under the hood.
The goal is to spin up a self-hosted QFieldCloud instance from scratch, then work through the official Python SDK (qfieldcloud-sdk) to automate real workflows: creating and managing projects, uploading QGIS project files, triggering packaging jobs, polling job status, and downloading packaged data programmatically.

We'll also cover organization and collaborator management via the API, and dig into the job/package cycle that sits at the heart of any automated field data pipeline — giving participants the tools to wire QFieldCloud into their own infrastructure, whether that's a CI/CD pipeline, a data processing script, or a lightweight custom app. If time permits, we'll sketch out a small LLM-assisted layer on top of the API.