COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators.  

This course is designed to provide participants with a detailed and up-to-date overview of AI & Technologies in Water System. It covers the artificial intelligence in water systems, historical development of water technologies and smart water networks (SWN); the AI algorithms for water demand forecasting, AI in water quality monitoring and the role of AI in water conservation; the AI for water treatment process control, predictive analytics for maintenance in water systems and automation in water distribution; the AI in flood prediction and management, machine learning for water resource management and blockchain in water systems. 

 

Further, the course will also discuss the deep learning for water system analytics, AI and machine learning for water leak detection and natural language processing (NLP) in water system data analysis; the AI-powered water quality control systems, energy management in water systems using AI and smart cities and AI integration in water systems; the AI for stormwater management and wastewater treatment optimization; the water system security and AI and big data in water system planning; and improving water sustainability in cities, reducing the environmental impact of water systems and integrating sustainability goals into AI models. 

During this interactive course, participants will learn the emerging AI technologies and their potential applications; the ethical considerations in AI for water systems and AI for climate change and water management; the collaboration between technology providers, utilities, and governments and building AI ecosystems for water system advancements; overcoming data quality and integration issues; and ensuring scalability of AI solutions across diverse systems.