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Who this course is for :
GIS Analyst moving toward development roles
Civil or Geography Graduate aiming for GIS jobs
Working professional seeking GIS automation skills
Working professional seeking GIS automation skills
Training mode and Duration
Live Online & Offline Training
Bangalore and Trivandrum Centers
2 hours per day (Monday-Friday)
72- training days
Google Classroom Access with class recordings
Career Outcomes And Job Alignment
-GIS Developer
-GIS Automation Engineer
-Spatial Data Analyst
-Remote Sensing Analyst (GEE)
-GIS Programmer (Python & PostGIS)
Tools and Technologies you will work with :
This program is built around industry tools
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ArcGIS Pro advanced workflows
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QGIS professional analysis
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Python for GIS automation
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Google Earth Engine with JavaScript
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PostgreSQL and PostGIS
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GeoPandas, ArcPy, Rasterio, PySAL
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Dashboard and map automation tools
MODULE 1: Introduction to GIS & Spatial Concepts
Build a strong foundation in GIS concepts required for automation, analysis, and development workflows.
What you learn here
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Core GIS concepts and real-world use cases
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Vector and raster data handling
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Coordinate systems and reprojection logic
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Common GIS file formats and conversions
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AOI creation and basic digitization
Hands-on outcomes
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Create and manage GIS datasets
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Build a basic spatial project from scratch
MODULE 2: Digitization, Georeferencing & Topology Rules
Master data creation, editing, and spatial accuracy. These skills are essential for professional GIS projects.
What you learn here
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Georeferencing using ground control points
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Heads-up digitization techniques
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Topology rules and error correction
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Precision editing and snapping tools
Hands-on outcomes
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Produce clean, accurate zoning maps
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Validate and fix topology errors
MODULE 3: Map Design & Cartography
Learn professional map design, labeling, layouts, and automated map series generation.
What you learn here
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Rule-based and data-driven symbology
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Labeling expressions and charts
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Professional map layout design
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Automated map series and atlas creation
Hands-on outcomes
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Design print-ready GIS maps
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Generate automated map books
MODULE 4: Remote Sensing & Google Earth Engine Integration (10 Days)
Work with satellite imagery, NDVI, time-series analysis, and large-scale geospatial data using Google Earth Engine.
What you learn here
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Raster fundamentals and NDVI calculation
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Supervised classification and LULC mapping
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Time-series NDVI analysis
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Google Earth Engine JavaScript workflows
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Satellite image filtering and visualization
Hands-on outcomes
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Perform satellite-based change analysis
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Build NDVI and LST visual outputs
MODULE 5: ModelBuilder & Raster Workflows
Automate terrain analysis, raster processing, and zonal statistics using ModelBuilder and raster math.
What you learn here
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Terrain analysis using DEM
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Raster math and zonal statistics
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Workflow automation with ModelBuilder
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Integrated raster analysis pipelines
Hands-on outcomes
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Automate terrain and raster workflows
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Build reusable GIS analysis models
MODULE 6: Python & GIS Automation
Develop Python scripts for GIS automation, spatial analysis, and batch processing workflows.
What you learn here
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Python fundamentals for GIS
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Data structures and control logic
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GIS automation using GeoPandas and ArcPy
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Raster processing using Rasterio and NumPy
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Spatial statistics and network analysis
Hands-on outcomes
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Develop end-to-end GIS automation scripts
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Build Python-based spatial workflows
MODULE 7: PostGIS & Spatial SQL
Design and manage spatial databases using PostgreSQL and PostGIS. Learn spatial SQL for real GIS applications.
What you learn here
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PostgreSQL database fundamentals
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Spatial data storage using PostGIS
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Writing spatial SQL queries
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Geometry operations and optimization
Hands-on outcomes
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Design and query spatial databases
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Integrate PostGIS outputs into GIS tool
MODULE 8: Dashboards & Spatial Reporting
This module focuses on transforming GIS analysis into clear, interactive visual outputs. You learn to present spatial data through dashboards, charts, and web maps for decision-making and reporting.
What you learn here
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Interactive charts using Plotly and Matplotlib
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Web maps using Folium
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Leaflet map export with QGIS2Web
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ArcGIS Online dashboard creation
Hands-on outcomes
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Build interactive GIS dashboards
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Combine maps, charts, and filters
MODULE 9: Urban & Utility GIS with Network Analysis
This module covers urban planning and utility-focused GIS workflows. You work with zoning, utilities, and network analysis models used in real infrastructure, transport, and service planning projects.
What you learn here
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Urban zoning and FAR mapping
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Utility digitization workflows
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Network analysis and routing models
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Service area and OD matrix analysis
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Location allocation and VR
Hands-on outcomes
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Solve real urban and utility problems
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Build network-based GIS solution
MODULE 10: Agriculture & Forest Remote Sensing
This module applies remote sensing and GIS techniques to agriculture and forest analysis. You perform crop mapping, vegetation monitoring, and change detection using satellite data and spatial indicators.
What you learn here
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Crop mapping using NDVI and LULC
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Multi-index agricultural analysis
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Forest change detection over time
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Vegetation suitability modeling
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Integrated agri and forest dashboards
Hands-on outcomes
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Create agri and forest monitoring maps
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Deliver a final sector-focused GIS project
Capstone Project: Final Project & Review (2 Weeks)
Apply everything you learn in a complete GIS development project involving automation, analysis, and presentation.
Note*- Training days may extend by 3 to 7 days, depending on the complexity of the content, holidays, and other relevant factors.
Live projects and practical exposure
Throughout the course, you will work on:
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GIS automation mini projects
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Remote sensing analysis workflows
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Python-based spatial analysis tasks
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PostGIS query project
Placement and career support
Career support includes
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Resume and portfolio guidance
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Interview preparation sessions
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Job role mapping for GIS developers
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Placement assistance and referral
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Is this course suitable for beginners?
Ans- Yes. The course starts with GIS fundamentals and core spatial concepts before moving into automation, programming, and development workflows. It is suitable for beginners with basic GIS exposure and for professionals looking to move into developer roles. -
Do I need programming experience?
Ans- No prior programming experience is required. Python is taught from the basics and applied directly to GIS tasks such as automation, spatial analysis, and data processing throughout the course. -
What jobs can I apply for after this course?
Ans- After completing this course, you can apply for roles such as GIS Developer, GIS Automation Engineer, Spatial Data Analyst, Remote Sensing Analyst using GEE, and GIS Programmer, depending on your project focus. -
Is placement support included?
Ans- Yes. Placement support includes career guidance sessions, resume and portfolio review, interview preparation, and job referrals aligned with GIS development and automation roles. -
What makes this a GIS development course?
Ans- This course focuses on programming, automation, spatial databases, and real-world GIS workflows. You build projects using Python, Google Earth Engine, PostGIS, and automation tools rather than only learning software operations.