Training on AI-Powered Leak Detection & Non-Revenue Water Reduction
Learn how AI, IoT, GIS, and predictive analytics can detect leaks, reduce Non-Revenue Water, and improve water utility performance.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
Water utilities worldwide face significant challenges from water losses caused by leaks, unauthorized consumption, metering inaccuracies, and aging infrastructure. These losses contribute to high levels of Non-Revenue Water (NRW), reducing operational efficiency and increasing financial pressures on water service providers. Artificial Intelligence (AI) is transforming water utility management by enabling real-time leak detection, predictive maintenance, network monitoring, and data-driven decision-making.
This course equips participants with practical skills in applying AI, machine learning, GIS, IoT, and data analytics to detect leaks, monitor water distribution networks, and reduce Non-Revenue Water. Through hands-on exercises, case studies, and practical demonstrations, participants will learn how to analyze utility data, identify anomalies, optimize maintenance activities, and implement intelligent solutions that improve water conservation and operational performance.
Duration
10 Days
Who Should Attend:
- Water Utility Managers
- Engineers and Technicians
- NRW Officers
- Asset Management Specialists
- GIS Professionals
- Data Analysts
- Operations Managers
- Water Resource Professionals
- Government Water Agencies
- Development Practitioners
What you'll walk away with
By the end of the training, participants will be able to:
- Understand the causes and impacts of Non-Revenue Water.
- Apply AI and machine learning techniques for leak detection.
- Analyze water network data to identify losses and anomalies.
- Utilize GIS and IoT technologies for network monitoring.
- Implement predictive maintenance strategies.
- Develop data-driven NRW reduction programs.
- Improve water utility efficiency and sustainability.
What we cover, module by module
Module 1: Introduction to AI & Non-Revenue Water Management
- Fundamentals of AI and machine learning
- Understanding Non-Revenue Water (NRW)
- Sources of water losses
- Economic and operational impacts of NRW
- AI applications in water utilities
- Case Study: Successful AI-driven NRW reduction initiatives.
- Practical Exercise: Assess NRW challenges within participants’ utilities.
Module 2: Water Distribution Networks & Data Management
- Components of water distribution systems
- Utility data sources and management
- Data quality and governance
- Smart metering technologies
- Preparing datasets for AI analysis
- Case Study: Building data-driven water utility operations.
- Practical Exercise: Analyze water network datasets.
Module 3: AI-Based Leak Detection Techniques
- Leak detection principles
- Machine learning algorithms for anomaly detection
- Pattern recognition techniques
- Real-time monitoring approaches
- Automated alert systems
- Case Study: Detecting hidden leaks using AI.
- Practical Exercise: Develop a leak detection model.
Module 4: IoT & Smart Water Monitoring Systems
- Internet of Things (IoT) fundamentals
- Smart sensors and data collection
- Pressure and flow monitoring
- Sensor network integration
- Real-time analytics
- Case Study: Smart water networks and leak monitoring systems.
- Practical Exercise: Design an IoT-based monitoring framework.
Module 5: GIS for Water Network Analysis
- GIS fundamentals for utilities
- Water network mapping
- Spatial analysis of leak patterns
- Asset location and condition assessment
- Geospatial decision support
- Case Study: GIS-supported water loss management.
- Practical Exercise: Create a leak risk map.
Module 6: Predictive Maintenance & Asset Management
- Predictive maintenance concepts
- Infrastructure condition monitoring
- Failure prediction models
- Maintenance scheduling optimization
- Asset lifecycle management
- Case Study: AI-driven infrastructure maintenance planning.
- Practical Exercise: Build a predictive maintenance model.
Module 7: Customer Metering & Consumption Analytics
- Smart metering systems
- Consumption pattern analysis
- Meter accuracy assessment
- Unauthorized consumption detection
- Revenue protection strategies
- Case Study: Identifying consumption anomalies using AI.
- Practical Exercise: Analyze customer consumption data.
Module 8: NRW Reduction Strategies & Performance Monitoring
- NRW reduction frameworks
- Key performance indicators (KPIs)
- Water balance analysis
- Continuous improvement approaches
- Utility performance benchmarking
- Case Study: Implementing comprehensive NRW reduction programs.
- Practical Exercise: Develop an NRW performance monitoring plan.
Module 9: AI-Powered Dashboards & Decision Support Systems
- Dashboard design and visualization
- Utility performance analytics
- Automated reporting
- Decision-support systems
- Operational intelligence platforms
- Case Study: AI-enabled water utility control centers.
- Practical Exercise: Build a water utility monitoring dashboard.
Module 10: AI-Based NRW Reduction Project & Action Planning
- Project planning and implementation
- Change management strategies
- Stakeholder engagement
- Monitoring and evaluation
- Emerging trends in smart water management
- Case Study: AI-driven transformation of water utility operations.
- Practical Exercise: Develop and present an AI-Powered Leak Detection & NRW Reduction Plan.
Where the change lands
Individual Impact
- Apply AI tools for leak detection and network analysis.
- Improve water loss management skills.
- Develop predictive maintenance strategies.
- Strengthen expertise in smart water utility technologies.
Organizational Impact
- Reduced water losses and operational costs.
- Improved efficiency of water distribution systems.
- Enhanced asset management and maintenance planning.
- Increased revenue recovery and service reliability.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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For corporate teams
Training 10+ professionals?
We deliver Training on AI-Powered Leak Detection & Non-Revenue Water Reduction in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.