GeoAI Certificate Programme

MASTER THE FUTURE OF GEOAI

GeoAI Certificate Programme

From GIS Basics to AI-Powered Geospatial Analysis

Starting Date – 14 September, 2026

About The Course

The GeoAI Certificate Programme offered by the MERI Department of Space Studies (DSS) is a four-week, instructor-led programme designed to build practical skills in Geographic Information Systems (GIS), Remote Sensing, and AI-powered geospatial analysis. Beginning with cartographic fundamentals and progressing to advanced GeoAI applications, the programme combines structured theory with guided laboratory sessions to create a comprehensive learning experience.
Participants gain hands-on experience using leading open-source geospatial technologies while working with real satellite datasets and practical workflows. Each of the twelve sessions concludes with a measurable outcome such as maps, scripts, analytical models, or interactive applications, allowing learners to develop practical GeoAI capabilities through continuous application and project-based learning.

  • Beginner-friendly with no prior GIS or coding experience required.
  • Every session delivers a practical, industry-relevant output.

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Course Structure

4

WEEKS

3

DAYS/WEEK

12

SESSIONS

2 HRS

PER SESSION

24

CONTACT HOURS

Mode of Delivery: Instructor-Led, Lab-Based (In-Person / Hybrid)

Weekly Class Schedule

Every Monday, Wednesday & Friday

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Who Should Attend

Zero prior experience needed. We start from first principles, no GIS or coding background required.

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You're an undergrad

Wanting a real technical edge for placements & research.

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You're a postgrad / researcher

Adding spatial AI to your specialization.

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You're a working professional

Acquiring new skills in GeoAI, with domain specialisation in geospatial / GeoAI roles.

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You're in defence

Keen to apply GeoAI to real operational problems & geospatial intelligence.

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You work in government

Using GeoAI for infrastructure development and capacity enhancement.

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You're new to GeoAI

Acquiring additional skills as a budding engineer, architect or industry/corporate professional.

Why This Programme Is Different?

Session-by-session design

All 12 sessions build directly on the last, from first map to capstone.

Every class produces an output

No theory-only sessions: each ends with a map, script, model or app.

Full open-source toolkit

QGIS, Python, GeoPandas, Rasterio, Earth Engine & more, at zero cost.

Real datasets throughout

Sentinel-2, Landsat, SRTM DEM & OpenStreetMap in every practical.

Session-by-Session Curriculum

12 sessions · 4 weeks · every session ends with a real, error-free, inspectable output

Geographic & Cartographic Foundations

Maps, scale, CRS & lat/long; install & tour QGIS, load vector layers, pan/zoom.

Remote Sensing & Satellite Imagery

Raster vs. vector, spatial/spectral/temporal resolution; source Sentinel-2 & Landsat imagery.

Raster Processing, Band Math & Spectral Indices

Band math, NDVI/NDWI/NDBI; compute indices, build a false-colour composite.

Vector Spatial Analysis

Buffer, clip, overlay, dissolve, joins; run a buffer & spatial join analysis.

Georeferencing, Digitization & Terrain Analysis

Georeferencing, DEMs, slope/hillshade; digitize a toposheet, build a terrain map.

Python for GIS: PyQGIS & Automation

PyQGIS API & automation; script batch-reprojection & buffer-export workflows.

Spatial Data Engineering

GeoPandas, Rasterio & intro to PostGIS; manipulate shapefile & raster data in Colab.

Web GIS & Interactive Mapping

Web GIS architecture, GeoJSON, Leaflet; publish a Folium map with pop-ups.

Machine Learning Foundations for GeoAI

AI/ML/DL overview, ML workflow; explore Earth Engine, prep a labelled dataset.

Image Classification & Land Cover Mapping

Random Forest classification, LULC principles; run a classification in Colab.

Deep Learning for GeoAI

CNNs, object detection & change detection; compare before/after imagery.

GeoAI Applications & Capstone Presentation

Real-world applications, LLMs & GeoAI agents, prompt engineering; present capstone.

Toolkit, Assessment & Careers

Software & Tools Covered

QGIS

Google Earth Pro

Google Colab

Python

GeoPandas

Rasterio

Folium

Leaflet

OpenStreetMap

Sentinel Hub

USGS Earth Explorer

Google Earth Engine

PostGIS

GitHub

Scikit-learn

Assessment & Certification

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Where It Leads

GIS Analyst

GeoAI Engineer

Spatial Data Analyst

Agriculutural GIS Analyst

Research in GeoAI / Earth Observation

Remote Sensing Analyst

Geospatial Data Scientis

Urban GIS Consultan

Defence GIS Analyst

Higher Studies (M.Tech / MS / PhD)

Venue

MERI Group of Institutions, Janakpuri, New Delhi
Organized by: MERI Department of Space Studies