
This course is designed to build the capacity of professionals and practitioners to understand and apply AI-based tools for improving water and used-water management systems in developing urban contexts. The key module topics will cover Introduction to A.I. concept & its usability, Understanding/ Review of the water & wastewater systems in the developing cities, A.I. tools in the water & WW management.
Key Topics:
Participants will explore how these approaches can be applied to address challenges and improve decision-making in the water and wastewater sector.
Explore key water and wastewater systems and understand how data can support AI-based applications. Participants will learn about relevant data sources, data quality, preparation, and the use of operational and management data for AI-driven analysis and decision-making.
Learn how to translate real-world water and wastewater challenges into meaningful AI problems. The session introduces practical approaches to problem formulation and technical prompting to effectively communicate with Generative AI tools and obtain useful, reliable outputs.
Apply the concepts learned through practical exercises and real-world water-sector challenges.
Participants will present their AI-enabled projects, demonstrating how AI can be applied to address a selected water or wastewater management challenge. The session will focus on interpreting results, discussing practical applications, limitations, and responsible use of AI in real-world systems.
Experts
Dr. Nawatch Surinkul – Mahidol University, Thailand
Dr. Manoj Shakya – Kathmandu University, Nepal
S.M. Tariqul Islam – Griffith University, Australia
Prajwal Shrestha – ISPL-Nepal & AIT, Thailand
Course Fee
Early Bird Fee: USD 50
(Registration by 9 October 2026)
Regular Fee: USD 90
Course Duration: 16 October – 5 November 2026
19 Days
English