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Digital Water and AI for Water Stewardship

The proposed two-day collaborative training workshop offers an immersive, application-oriented experience on digital water systems. Through expert-led sessions, hands-on exercises, and collaborative learning, the programme equips participants with practical knowledge to understand and apply digital tools across water and wastewater systems. It promotes a systems-thinking approach that supports informed decision-making and advances resilient, sustainable, and inclusive water management solutions.

Course Providers:
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Fluxgen Sustainable Technologies

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VA Tech WABAG

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IWA

Programme Detail Getting from back end

IWA members get 10% discount on this course

Starts
Mar 06, 2026

Language

English

Certification

Certificate of Participation

Duration:2 days

Course Type

Offline

Member fee: ₹4,500.00

Standard fee: ₹5,000.00

Course Description

India’s water sector is at a critical inflection point. Rapid urbanisation, climate variability, rising energy costs, ageing infrastructure, and increasing regulatory and public expectations are placing complex and interconnected demands on how water systems are planned, managed, and governed. While substantial investments have been made through national missions such as AMRUT, Jal Jeevan Mission, and Namami Gange, these systemic pressures cannot be addressed through infrastructure expansion alone.

In this context, digital water encompassing data systems, sensors, analytics, and intelligent decision-support tools has emerged as a key enabler for building more resilient, efficient, and transparent water systems. Technologies such as IoT-enabled monitoring, AI-driven analytics, digital twins, and integrated dashboards offer new ways to move from reactive management to predictive and systems-oriented decision-making.

Fragmented understanding of digital water concepts, implementation pathways, and context-specific case studies relevant to Indian conditions remains a key challenge across the sector. This is largely due to the limited availability of structured understanding and capacity-building opportunities for the diverse range of stakeholders involved in water management, including utilities, policymakers, consultants, technology providers, and emerging professionals. As a result, the potential of emerging technologies is not always fully understood, critically evaluated, or effectively integrated into planning and decision-making processes.

To address this need, the proposed two-day collaborative training workshop offers an immersive, application-oriented experience on digital water systems. Through expert-led sessions, hands-on exercises, and collaborative learning, the programme equips participants with practical knowledge to understand and apply digital tools across water and wastewater systems. It promotes a systems-thinking approach that supports informed decision-making and advances resilient, sustainable, and inclusive water management solutions.

IWA member get 10% on the registration fee !

  • General Fee (For Professionals) : INR 5000
  • IWA Member Fee : INR 4500
  • Student Fee : INR 2500

Course Audience

The workshop is designed for stakeholders who play, or aspire to play, a role in the digital transformation of the water sector, including:

  • Postgraduate students, doctoral researchers, academicians and young water professionals in water sector
  • Utility managers, engineers, and technical staff involved in planning, operations, monitoring, and performance improvement
  • Professionals from consulting firms, system integrators, and technology providers
  • Start-ups and entrepreneurs developing digital, AI, or IoT-based water solutions

Learning Objectives

  • Understand core digital water concepts, terminologies, and technologies
  • Recognise the role of data quality, integration, and governance in enabling effective digital water solutions
  • Interpret real-world applications of digital tools across water supply, wastewater treatment, and industrial water systems
  • Apply systems thinking to identified water-sector challenges and apply integrated, data-driven interventions
  • Multi stakeholder collaboration for holistic inter-disciplinary approach

Learning Format