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TRAINING DETAILS

Title of Training
"Al Tools for Spatial Planning Urban Local Bodies: Open - Source Spatial Workflows using QGIS" (EDP_26_01)
Duration of Training
Upto 4 days
Starting Date
28/09/2026
Ending Date
30/09/2026
Principal Investigator
& Team members
Mr. Vijesh Kumar (PI)
Dr. Faiz Ahmed (CO-PI)
Training Outcome Report Image Gallery
EDP_26_01

Training Description

"Al Tools for Spatial Planning Urban Local Bodies: Open - Source Spatial Workflows using QGIS"

(EDP_26_01)

Panel Discussion
Speaker Session
📝
Planning
👷
Supervision
📐
Design & Budget
🏗
Building

Urban planning processes are increasingly reliant on data-driven decision-making and precise spatial analysis. For Urban Local Bodies (ULBs), leveraging open-source spatial workflows combined with Artificial Intelligence (AI) tools offers a highly efficient approach to spatial planning and resource management. This Executive Development Programme (EDP) introduces professionals to the practical application of QGIS, integrated with modern AI capabilities, to enhance urban planning operations.

The curriculum focuses on modernizing spatial analysis, managing geographic datasets, and utilizing intelligent tools to derive actionable urban insights. By transitioning to open-source platforms like QGIS, planning bodies can streamline workflows, democratize spatial data access, and build scalable spatial infrastructure without the prohibitive costs of proprietary software.

A-CUPCB-SPAV

Training
Benefits

By the end of the training programme, participants will be able to:

  • Understand the fundamental principles of spatial planning tailored specifically for the operational needs of Urban Local Bodies.
  • Gain hands-on proficiency in using open-source QGIS for urban mapping, spatial analysis, and geographic data management.
  • Integrate AI tools effectively within spatial workflows to streamline and automate complex urban planning tasks.
  • Develop practical strategies for implementing cost-effective, open-source spatial data infrastructure within municipal frameworks.
  • Enhance municipal decision-making capabilities by visualizing and analyzing urban spatial patterns efficiently.

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