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01
Discover & Foundation

Learn disaster types, risk zones and management principles.

02
Build & Specialize

Train in early warning systems and GIS-based mapping.

03
Innovate & Apply

Deploy tech for response, mitigation and resource coordination.

04
Lead & Transform

Plan resilient infrastructure and community-led preparedness strategies.

Disaster Management

Understanding AI Powered Flood Management Systems

This advanced program trains professionals to use AI, Python, GIS and drone imagery for flood forecasting, risk mapping, real-time monitoring and ethical deployment. Learners will build end.

Enrol now
Disaster Management

Understanding AI Powered Flood Management Systems

This advanced program trains professionals to use AI, Python, GIS and drone imagery for flood forecasting, risk mapping, real-time monitoring and ethical deployment. Learners will build end.

Enrol now
structure

Program Structure

Learning Format

Live Sessions

Duration

8 Week

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Grow your expertise. Build better futures.

4.7

Average Feedback Rating

3

Years of experience

20

government departments partnered

14

digital tools deployed

Key Points

Why Attend This Course

Flood management systems often lack real-time intelligence and predictive precision. This course equips professionals with AI, geospatial tools, and ethical deployment strategies to create resilient, data-driven, and actionable flood response infrastructures.

Career Options

Disaster AI specialist, flood risk analyst, drone data interpreter, geospatial modeler, urban resilience planner, policy advisor on climate-tech integration.

Professional Certificate from Synergic Discovery

Course Overview

Week 1
Foundations of AI in Flood Systems
Topics:
  • Introduction to AI in water systems, flood types, system components
Tools:
  • Overview of QGIS, TensorFlow, remote sensors
Practice:
  • Set up Python environment, visualize rainfallrunoff data
Activity:
  • Download datasets, run your first Jupyter-based flood model
Week 2
Rainfall-Runoff Modeling & Hydro-Met Data Preprocessing
Topics:
  • Rainfall-runoff simulations, time-series preprocessing, missing data, scaling
Hands-on:
  • Python + Pandas lab for cleaning hydro-met station data
Quiz:
  • Rainfall-runoff theory, ML-readiness of datasets
Week 3
Machine Learning Models for Flood Forecasting
Topics:
  • Regression and classification models for flood alerts
Lab:
  • Train a TensorFlow ML model using rainfall, streamflow data
Deliverable:
  • Submit a trained flood alert model + prediction plot
Week 4
Flood Risk Mapping with DEM & NDVI
Topics:
  • DEM-based water accumulation zones, NDVI for land use
Lab:
  • Remote sensing in QGIS: import, reclassify, map risk zones
Exercise:
  • Produce a flood susceptibility map for a region
Week 5
Real-Time Monitoring: IoT, Social Data & Dashboards
Topics:
  • IoT sensor architecture, MQTT protocol, social stream analysis
Lab:
  • Simulate sensor stream + display using a mock dashboard
Exercise:
  • Build a conceptual real-time dashboard with alert logic
Week 6
Drone Imagery & Impact Analysis – Netherlands Case Study
Topics:
  • Post-flood impact, drone classification, Deltares layered defense
Practice:
  • CNN model for flood damage image classification
Case Study:
  • Annotated review of Dutch flood protection systems
Week 7
Deployment of AI Systems: Edge, Cloud & Integration
Topics:
  • Deployment architectures, latency vs scalability, SCADA/IoT interfaces
Lab:
  • Design your end-to-end flow — from data ingestion to flood alert
Exercise:
  • Draft a system architecture diagram for edgebased flood alerts
Week 8
Explainability, Ethics, and Final Capstone Project
Topics:
  • XAI (Explainable AI), equity in AI predictions, ethical data design
Capstone Project:
  • Design a full AI-based flood management system for an Indian city
  • Include: DEM risk mapping, forecast model, live alert concept, and XAI layer
Companies

Companies that Hire

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Train with industry experts solving real urban system challenges every day.

Capstone Projects

Naina City Project: The Biggest Planned City of India

Naina City Project Urbanization is a global phenomenon, with cities rapidly expanding to accommodate growing populations.

Diamond City of India

Surat, known as the ‘Diamond City of India.’ It stands high among the top 10 smart cities in India with its many smart city efforts.
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