
GIS Development Level 1 (Advanced) – Python, GEE, PostGIS & Automation
Step into the future of geospatial development with our advanced GIS training program. Designed for Level 1 graduates and professionals ready to advance, this course delivers industry-aligned skills in Python automation, Google Earth Engine, PostGIS, remote sensing, web dashboards, and 3D GIS workflows.
After the Course you'll be familiar with :
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ArcGIS Pro & QGIS (Advanced Workflows)
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Python (GeoPandas, ArcPy, Rasterio, PySAL, NetworkX, Matplotlib, Plotly)
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Google Earth Engine (JavaScript & Python API with geemap)
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PostgreSQL + PostGIS & Spatial SQL
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FME Desktop, GeoServer, Docker, GitHub Actions
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FME Desktop, GeoServer, Docker, GitHub Actions
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3D & BIM Tools (AutoCAD, Revit, ArcPy Automation)
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Field Data Tools: Survey123, QField
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QGIS2Web, AGOL Dashboards, Folium
Both online and offline(Bangalore and Thiruvananthapuram) mode available with customized class timings
Doubt clearing sessions with personalized assistance
Trainers with 5+ years of hands-on experience in various aspects of Geospatial Technology
Duration- 140 Days (2hrs / day)
7-7.5 Months
MODULE 1: Introduction to GIS & Spatial Concepts
MODULE 2: Digitization, Georeferencing & Topology Rules
MODULE 3: Map Design & Cartography
MODULE 4: Advanced Geodatabase Management
MODULE 5: Parcel Fabric & Land Records Workflow
MODULE 6 : CAD to GIS Workflow
MODULE 7: BIM to GIS Integration (With ArcGIS Pro & ArcPy Automation)
MODULE 8: Remote Sensing & Google Earth Engine Integration
MODULE 9: ModelBuilder & Terrain Workflow
MODULE 10: LiDAR Workflow
MODULE 11: ArcGIS Online – Web Map Components & Web App Builder
MODULE 12: Python & GIS Automation
MODULE 13: GeoAI Workflows with ArcGIS Pro
MODULE 14: GEE Python Advanced
MODULE 15: Dashboards & Spatial Reporting
MODULE 16: PyQGIS Advanced Layouts
MODULE 17: PostGIS & Spatial SQL
MODULE 18: FME Tools for GIS Automation
MODULE 19 : GeoServer Publishing & Styling
MODULE 20: Utility Mapping & Field Survey
MODULE 21: Environmental & Urban Sector Projects
MODULE 22: Agriculture & Forest Remote Sensing
Capstone Project: Final Project & Review (2 Weeks)
Note*- Training days may extend by 3 to 7 days, depending on the complexity of the content, holidays, and other relevant factors.