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GIS Development Level 1 (Advanced) - Python, GEE, PostGIS, GeoAI and Dashboards & Automation
This advanced GIS development program is designed for learners who want to move beyond software usage and build real-world geospatial solutions. The course focuses on Python-based automation, spatial databases, Google Earth Engine, BIM–GIS workflows, dashboards, and enterprise GIS pipelines used in industry projects.
Training mode and Duration
Live Online & Offline Training
Bangalore and Trivandrum Centers
2 hours per day (Monday-Friday)
140- 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)
-Enterprise GIS Analyst
Tools and Technologies you will work with :
This program is built around industry tools
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ArcGIS Pro and QGIS advanced workflows
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Python Libraries for GIS automation and spatial analysis (GeoPandas, ArcPy, Rasterio, PySAL, NetworkX, Matplotlib, Plotly)
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Google Earth Engine with JavaScript and Python API
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PostgreSQL with PostGIS and spatial SQL
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3D & BIM Tools (AutoCAD, Revit, ArcPy Automation)
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GeoServer, FME, Dashboards, LiDAR, GeoAI
MODULE 1: Introduction to GIS & Spatial Concepts
Build a strong foundation in GIS principles, spatial data types, coordinate systems, and real-world GIS applications.
What you learn here
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Core GIS concepts and real-world applications
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Vector and raster data handling
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Coordinate systems and reprojection
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GIS data formats and conversions
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AOI creation and basic digitization
Hands-on outcomes
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Build foundational GIS datasets
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Create a complete starter GIS project
MODULE 2: Digitization, Georeferencing & Topology Rules
Learn accurate map digitization, georeferencing workflows, and topology rules for clean spatial data.
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
Master professional cartography, map layouts, labeling, and automated map series for reporting.
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: Advanced Geodatabase Management
Design and manage enterprise-ready geodatabases with rules, relationships, and multi-user editing.
What you learn here
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Geodatabase schema design
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Relationship classes and versioning
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Attribute rules using Arcade
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Multi-user editing workflows
Hands-on outcomes
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Design enterprise-ready geodatabases
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Deliver documented GIS data models
MODULE 5: Parcel Fabric & Land Records Workflow
Implement parcel fabric models and land record workflows used in government and cadastral systems.
What you learn here
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Parcel fabric concepts and schema design
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Parcel editing and tax data integration
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Metadata management
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Land record workflows
Hands-on outcomes
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Manage end-to-end land record datasets
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Deliver parcel-based GIS projects
MODULE 6 : CAD to GIS Workflow
Convert CAD drawings into structured GIS datasets with proper attributes and spatial integrity.
What you learn here
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CAD fundamentals for GIS integration
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CAD to GIS conversion workflows
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Attribute enrichment and cleanup
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Final GIS map styling and export
Hands-on outcomes
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Convert CAD drawings into GIS datasets
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Deliver GIS-ready utility and site maps
MODULE 7: BIM to GIS Integration (With ArcGIS Pro & ArcPy Automation)
This module focuses on converting BIM and CAD data into GIS-ready formats and automating large-scale infrastructure workflows using ArcPy and 3D GIS tools.
What you learn here
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BIM and GIS data structure differences
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IFC and DWG data interpretation
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Spatial annotation and attribute cleanup
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ArcPy-based automation pipelines
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3D GIS visualization and analysis
Hands-on outcomes
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Automate BIM-to-GIS workflows
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Deliver 3D GIS infrastructure outputs
MODULE 8: Remote Sensing & Google Earth Engine Integration
This module introduces satellite data processing and cloud-based analysis using Google Earth Engine for environmental and temporal studies.
What you learn here
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Raster fundamentals and NDVI calculation
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LULC classification and accuracy assessment
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Time-series analysis in GEE
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GEE scripting and visualization
Hands-on outcomes
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Perform satellite-based change analysis
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Export GEE results into GIS tools
MODULE 9: ModelBuilder & Terrain Workflow
Automate terrain analysis and raster workflows using ModelBuilder for scalable GIS processing.
What you learn here
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Terrain modeling and raster analysis
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ModelBuilder automation techniques
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Zonal statistics integration
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Reusable raster workflows
Hands-on outcomes
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Build automated raster analysis models
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Optimize terrain processing tasks
MODULE 10: LiDAR Workflow
Process LiDAR point clouds to generate terrain models, surfaces, and 3D spatial outputs.
What you learn here
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LiDAR data formats and classification
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Point cloud processing
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Surface generation and volume analysis
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3D terrain visualization
Hands-on outcomes
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Process LiDAR datasets
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Generate terrain and 3D outputs
MODULE 11: ArcGIS Online – Web Map Components & Web App Builder
Create interactive web maps and web applications for sharing GIS data online.
What you learn here
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Web map configuration
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Web app templates and widgets
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Sharing and access management
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Web GIS deployment
Hands-on outcomes
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Publish interactive web maps
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Build custom GIS web applications
MODULE 12: Python & GIS Automation
Automate GIS workflows using Python, ArcPy, GeoPandas, and spatial libraries.
What you learn here
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Python fundamentals for GIS
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GeoPandas and spatial analysis
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ArcPy automation
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Raster processing and network analysis
Hands-on outcomes
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Build end-to-end GIS automation scripts
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Create reusable Python workflows
MODULE 13: GeoAI Workflows
Automate GIS workflows using Python, ArcPy, GeoPandas, and spatial libraries.
What you learn here
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Deep learning setup in GIS
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Object detection and pixel classification
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Model inference and result styling
Hands-on outcomes
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Apply AI models to spatial datasets
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Apply AI models to spatial datasets
MODULE 14: GEE Python Advanced
Perform advanced satellite analysis and forecasting using Google Earth Engine with Python.
What you learn here
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GEE Python API usage
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Supervised classification workflows
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NDVI trend analysis and forecasting
Hands-on outcomes
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Perform advanced cloud-based analysis
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Generate analytical charts and outputs
MODULE 15: Dashboards & Spatial Reporting
Build interactive dashboards and visual reports using GIS data and web mapping tools.
What you learn here
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Interactive charts and maps
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Web dashboards using AGOL and Folium
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Integrated spatial reporting
Hands-on outcomes
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Build decision-ready GIS dashboards
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Combine maps, charts, and filters
MODULE 16: PyQGIS Advanced Layouts
Automate map production and layout exports using PyQGIS scripting.
What you learn here
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Automating map layouts using PyQGIS
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Batch export and data-driven layouts
Hands-on outcomes
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Generate maps programmatically
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Automate layout production
MODULE 17: PostGIS & Spatial SQL
Manage and analyze spatial data using PostgreSQL, PostGIS, and advanced spatial queries.
What you learn here
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SQL fundamentals and spatial queries
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PostGIS geometry operations
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Indexing and performance tuning
Hands-on outcomes
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Design and query spatial databases
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Integrate PostGIS with GIS tools
MODULE 18: FME Tools for GIS Automation
Design ETL workflows to automate data cleaning, transformation, and integration.
What you learn here
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ETL concepts and FME workflows
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Schema mapping and format conversion
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Schema mapping and format conversion
Hands-on outcomes
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Build reusable ETL pipelines
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Automate large GIS data workflows
MODULE 19 : GeoServer Publishing & Styling
Publish GIS layers as web services and style them for high-performance map delivery.
What you learn here
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Publishing PostGIS layers
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SLD styling and cartography
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Secure and tiled map services
Hands-on outcomes
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Deploy GIS web services
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Optimize map performance
MODULE 20: Utility Mapping & Field Survey
Implement utility mapping workflows with mobile data collection and field-to-GIS integration.
What you learn here
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Utility asset mapping
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Domain and survey form design
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Field data collection workflows
Hands-on outcomes
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Deliver field-to-GIS solutions
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Integrate mobile data into GIS
MODULE 21: Environmental & Urban Sector Projects
Apply GIS techniques to urban planning, environmental impact analysis, and smart city use cases.
What you learn here
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Smart city and zoning workflows
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Environmental impact analysis
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Urban suitability and network analysis
Hands-on outcomes
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Deliver urban planning mapbooks
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Solve real planning scenarios
MODULE 22: Agriculture & Forest Remote Sensing
Analyze agricultural and forest landscapes using remote sensing and suitability modeling.
What you learn here
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Crop and forest mapping using NDVI
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Change detection and suitability analysis
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Sector-focused GIS dashboards
Hands-on outcomes
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Create agri and forest monitoring outputs
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Deliver sector-based GIS projects
Capstone Project: Final Project & Review (2 Weeks)
Deliver an end-to-end GIS project showcasing development, automation, and analytical skills.
What you learn here
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Project planning and methodology design
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End-to-end GIS execution
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Professional reporting and presentation
Hands-on outcomes
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Deliver a complete GIS capstone project
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Present analysis, maps, dashboards, and reports
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 GIS development course suitable for beginners ?
Ans- This course is suitable for learners with basic GIS knowledge who want to advance into GIS development, automation, and analytics. It starts with core concepts and gradually moves into Python, databases, cloud analysis, and enterprise workflows. -
Do I need coding or programming experience to join this course ?
Ans- No prior programming experience is required. Python is taught from fundamentals and applied directly to GIS automation, spatial analysis, and real project workflows throughout the course. -
What jobs can I apply for after completing this GIS development course?
Ans- After completion, you can apply for GIS Developer, GIS Automation Engineer, Spatial Data Analyst, Remote Sensing Analyst, and Enterprise GIS roles, depending on your project focus and skill specialization. -
Is this a job-oriented GIS course with placement support ?
Ans- Yes. This program includes career guidance, resume and portfolio review, interview preparation, and placement assistance aligned with GIS development and automation job roles. -
What is the difference between a GIS analyst course and a GIS development course ?
Ans- A GIS analyst course focuses on software usage and analysis tasks. This GIS development course focuses on programming, automation, spatial databases, cloud platforms, and building end-to-end geospatial solutions. -
Will I work on real projects during the course ?
Ans- Yes. You will work on live projects, automation tasks, sector-based case studies, and a final capstone project using real datasets and industry workflows.