Training & Certification

🌍 India’s OpenGeoAI Revolution Begins June 5th — Will You Be Part of It? 🇮🇳

Dear Geospatial Professionals,

The world is changing — and so is the way we map, analyze, and understand it. As the demand for location intelligence, AI-driven insights, and real-time decision-making rises, geospatial professionals like you must lead this next wave of transformation.

That’s why we’re launching India’s first-ever national training program on OpenGeoAI, beginning June 5th, 2025 — a milestone date that marks both World Environment Day and the beginning of a career-defining journey.

Whether you're a fresher or a seasoned GIS professional — upskilling with OpenGeoAI is your key to staying relevant, competitive, and in demand.

🔍 Why You Shouldn’t Miss This:

✅ Learn Open Source GIS Platforms

✅ Build skills in GeoAI, ML, Remote Sensing, Deep Learning, and ChatGPT-powered workflows – no coding background required.

✅ Participate in real-world projects that serve national missions, smart cities, agriculture, disaster response, and more.

✅ Get mentored by a powerful ecosystem of scientists, technologists, and industry experts.

✅ Prepare for the future of governance, sustainability, and innovation – with YOU at the center.

“The future belongs to those who empower communities, not just companies. With OpenGeoAI, we’re not just building skills — we’re building Bharat 2.0.”

Whether you're working in the public sector, government, a startup, research organisation, corporate, institution, student or are simply passionate about maps and data — now is the time to pivot, upskill, and lead.

OpenGeoAI is not the future. This is already happening —  Time to transform your career.

🚀 Spots are limited. Enrollments are open.

To book a slot, register at : https://forms.gle/5gpq9uDQSLE6seyq7

Let’s move from proprietary to participatory, from static maps to smart decisions.

💼 The Jobs of Tomorrow Are Already Here:

 ✅ GeoAI Analyst / Engineer
✅ Remote Sensing AI Specialist
✅ Location AI Scientist
✅ AI-Powered Urban Planner
✅ GeoAI Product Manager
✅ Open Source GIS + AI Developer

Whether you're a fresher or a seasoned GIS professional — upskilling with OpenGeoAI is your key to staying relevant, competitive, and in demand.

 We have introduced an online program “Certified Professional in OpenGeoAI”.

Our structured, modular courses are designed to cater to learners at every level—from beginners to industry veterans. 

The first batch starts on June 5th, 2025.

🔧 OpenGeoAI Course Overview

Your comprehensive toolkit for building future-ready GIS and AI applications using open technologies.

🗺️ Open Source GIS Platforms

Desktop and Server-based GIS tools for spatial data creation, editing, and analysis.

• QGIS – Full-featured desktop GIS with a powerful plugin ecosystem
  
  

• gvSIG – Open-source alternative for desktop GIS
  
  

• MapMint – Web mapping platform based on MapServer and OGC standards
  
  

• SAGA GIS – Specialized in geostatistics, terrain analysis, and hydrology
  
  

• uDig – User-friendly GIS for spatial data integration and development
  
  

🌐 Web GIS Platforms & Libraries

Tools to build interactive and real-time web mapping applications.

• GeoServer – Java-based server for sharing geospatial data over OGC standards
  
  

• MapServer – High-performance map rendering engine
  
  

• OpenLayers – JavaScript library for building rich web maps
  
  

• Leaflet.js – Lightweight, mobile-friendly map framework
  
  

• MapLibre GL / Mapbox GL JS – High-performance vector tile rendering
  
  

• CesiumJS – 3D mapping and globe visualization engine
  
  

• Deck.gl & Kepler.gl – Web-based large-scale geospatial visual analytics
  
  

• Carto – Cloud-based geospatial platform (open/free tier available)
  
  

🧭 Spatial Databases

Store, manage, and query spatial data efficiently with spatial extensions.

• PostGIS – Spatial extension of PostgreSQL, ideal for GeoAI backends
  
  

• Spatialite – Spatial extension for SQLite for lightweight apps
  
  

• MongoDB + Turf.js – For geo-queries and location-aware NoSQL apps
  
  

• GeoGig – Version control system for spatial data
  
  

🌍 Remote Sensing & Earth Observation Tools

Platforms and tools to analyze satellite data at scale.

• Google Earth Engine (GEE) – Cloud platform for planetary-scale geospatial analysis
  
  

• Sentinel Hub – Web services for accessing Sentinel and other EO data
  
  

• ESA SNAP Toolbox – Desktop tools for Sentinel and radar data processing
  
  

• Orfeo Toolbox (OTB) – Remote sensing algorithms in C++ and Python
  
  

• Radiant Earth MLHub – Open repository of labeled geospatial training data
  
  

• Raster Vision – Deep learning framework for EO imagery
  
  

• EODAG – Unified API for accessing EO data from multiple sources
  
  

🧠 GeoAI & Machine Learning Libraries

Enable smart analysis and automation using AI, ML, and DL for geospatial data.

• Scikit-learn – Classical machine learning for spatial datasets
  
  

• PyTorch & TensorFlow – Core deep learning frameworks
  
  

• Keras – Easy-to-use DL API
  
  

• XGBoost / LightGBM – High-performance gradient boosting algorithms
  
  

• FastAI – Deep learning made easy, useful for satellite image classification
  
  

• SegFormer / U-Net / Mask R-CNN – Deep learning models for semantic segmentation
  
  

• Detectron2 / MMDetection – Object detection for EO datasets
  
  

• TorchGeo – PyTorch-based library for geospatial deep learning
  
  

• GeoAI-Py / PyGeoTools – Custom Python libraries for spatial AI
  
  

• EO-Learn – Modular framework for EO data processing with machine learning
  
  

🐍 Python Libraries for Spatial Data Science

Power your data workflows with Python-based geospatial analysis tools.

• GeoPandas – Pandas extension for vector data
  
  

• Shapely / Fiona – Geometry operations and I/O
  
  

• Rasterio – Read/write raster data with NumPy integration
  
  

• rasterstats – Zonal statistics for rasters
  
  

• WhiteboxTools – GIS analysis via Python or CLI
  
  

• pyproj – Coordinate transformations
  
  

• scikit-image / OpenCV – Image processing for satellite and aerial imagery
  
  

• h3-py / S2 Geometry – Spatial indexing and hierarchical grids
  
  

• NetworkX / OSMnx – Network and mobility analysis
  
  

• Folium / Plotly / Geoplot – Interactive spatial visualization in notebooks
  
  

🤖 No-Code / Low-Code AI Tools for Non-Programmers

Tools and interfaces for citizen data scientists and domain experts.

• ChatGPT + GIS Prompts – Automate GIS workflows through conversation
  
  

• AutoML (Google / H2O.ai / Azure) – Model building without writing code
  
  

• MakeHub / Hugging Face Spaces – Drag-drop interface for AI deployment
  
  

• Earth Blox – No-code EO processing over GEE
  
  

• RunwayML / Peltarion – GUI-based AI model training for imagery
  
  

🛰️ Open & Free Satellite Imagery Platforms

Access high-resolution, real-time, and archived imagery.

• USGS Earth Explorer

• Copernicus Open Access Hub

• NOAA CLASS & CDRs

• OpenStreetMap

• NRSC Bhuvan (India)

• NGA G-EGD (Global Enhanced GEOINT Delivery)

• NASA Worldview

• OpenTopography / EarthData

🛠️ Toolkits & IDEs for Building GeoAI Solutions

End-to-end environments for development, automation, and deployment.

• Jupyter Notebooks / JupyterLab – Interactive coding with data visualization
  
  

• VS Code with GIS Extensions – IDE with plugins for Python, GEE, and GDAL
  
  

• Docker + GeoStack Images – Containerized environments with GIS tools
  
  

• GitHub / GitLab – Collaborative coding and version control

• Binder / Google Colab – Shareable, cloud-based research notebooks