MAPPING THE FUTURE OF GEOSPATIAL INTELLIGENCE
ADVANCED GEOAI TRAINING PROGRAMME
Where GIS Meets Artificial Intelligence and Real-World Innovation
About The Course
The geospatial industry is rapidly evolving through the integration of Artificial Intelligence, satellite technologies, machine learning, and large-scale spatial analytics. Across sectors such as urban planning, climate science, disaster management, infrastructure, and smart governance, GeoAI is transforming how data is analysed and decisions are made.
The “Advanced GeoAI Training Programme” is a specialised 4-week intensive designed to bridge traditional Geographic Information Systems (GIS) with modern AI-driven geospatial technologies. The programme combines conceptual learning with practical implementation through hands-on labs, industry-focused workflows, and project-based learning experiences.
Participants gain exposure to tools such as QGIS, Python, GeoPandas, Google Earth Engine, Rasterio, and Scikit-learn while working on real-world geospatial datasets and predictive modelling applications. The programme culminates in a capstone project presentation evaluated by an expert panel.
- Expert-Led Learning & Industry Exposure
- Practical GeoAI Training with Real-World Geospatial Applications
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Course Highlights
- GIS & Remote Sensing using QGIS
- Google Earth Engine Workflows
- Machine Learning for GeoAI Applications
- Predictive Spatial Modelling Techniques
- Python Automation for Geospatial Analysis
- Raster Processing & Terrain Analysis
- Interactive Web GIS & Dashboard Creation
- Deep Learning & OBIA Overview
- Capstone Project & Expert Panel Presentation
Course Structure
Duration
4 Weeks
Mode
Hybrid (Online + Offline Practical Session)
Sessions
2 Sessions Per Week
Total Hours
100+ Learning Hours
Key Features
Industry-Oriented
GeoAI Curriculum
Hands-on GIS &
AI Lab Training
Real Geospatial
Dataset Analysis
Expert-Led Capstone Projects
Credit-Based
Professional Certification
Future-Focused
Spatial Intelligence Learning
Week-wise Modules
- GIS Fundamentals & Spatial Data Concepts
- Coordinate Reference Systems & Map Projections
- QGIS Spatial Analysis & Cartographic Outputs
- Remote Sensing & Spectral Indices
- Python for Geospatial Data Handling
- Introduction to Google Earth Engine
- Raster Processing & Terrain Analysis
- Spatial Statistics & Hotspot Mapping
- Machine Learning Fundamentals for GeoAI
- Random Forest Image Classification
- Change Detection & Multi-temporal Analysis
- Advanced Google Earth Engine Workflows
- Flood Susceptibility Modelling
- Urban Growth & Hotspot Analysis
- Deep Learning & AI-assisted Mapping
- Object-Based Image Analysis (OBIA)
- Spatial Data Pipelines & API Integration
- Interactive Dashboards & Web GIS Visualisation
- Project Design & Data Acquisition
- Feature Engineering & Model Training
- Cartographic Outputs & Technical Reporting
- Peer Review & Presentation Rehearsals
- Expert Panel Project Evaluation
- Certification & Programme Completion
Learning Outcomes
Geospatial Intelligence
Google Earth Engine
Machine Learning
Python Automation
Remote Sensing
Web GIS
Who Should Attend
- GIS & Remote Sensing Professionals
- Urban Planners & Infrastructure Experts
- Engineering & Aerospace Students
- Researchers & Data Science Enthusiasts
- Government Officials & Policy Professionals
- Academicians & Technology Practitioners
Certification
Venue
MERI Group of Institutions, Janakpuri, New Delhi
Organized by: MERI Department of Space Studies

