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
Certification
Participants successfully completing the programme will receive a Certificate
issued by DSS, MERI Group of Institutions in collaboration with institutional
partners.
Practical
Learning
Experience
QGIS Spatial
Analysis &
Mapping Labs
Hands-on labs using OGIS
for spatial data analysis,
visualization, and
map production.
Satellite Image
Processing
Workflows
Learn end-to-end workflows
for processing and analyzing
satellite imagery.
Machine Learning Model Training Exercises
Train and evaluate machine
learning models on
geospatial datasets.
Real-Time Google Earth Engine Applications
Apply real-time geospatial
analysis using Google
Earth Engine for powerful
insights.
Flood Risk &
Urban
Growth Simulations
Simulate flood risk scenarios
and urban growth patterns
using spatial modeling
techniques.
Capstone Project Development & Presentation
Work on real-world projects
and present data-driven
solutions to industry
challenges.
Career Opportunities
- GIS Analyst & Cartographer
- Urban & Regional Planner
- Remote Sensing Specialist
- Geospatial Data Scientist
- Disaster Risk Analyst
- Climate & Environment Analyst
- AI/ML Engineer (Spatial) Smart City
- Consultant Infrastructure Planning Professional
Venue
MERI Group of Institutions, Janakpuri, New Delhi
Organized by: MERI Department of Space Studies