Training on AI for Smart Water Metering & Demand Forecasting
Build practical skills in smart water meter analytics, demand forecasting, and AI-enabled water utility optimization.
Next intake
20 Jul 2026 · Nakuru
Duration
5 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
This specialized programme is designed to equip water sector professionals with the knowledge and practical skills required to leverage Artificial Intelligence (AI), smart metering technologies, and predictive analytics to improve water demand management and operational efficiency. The programme explores how AI-powered data analysis can enhance consumption monitoring, demand forecasting, customer insights, non-revenue water reduction, and resource optimization. Through practical exercises, case studies, and real-world applications, participants will develop the capacity to transform metering data into actionable intelligence that supports evidence-based planning, sustainable water resource management, and improved service delivery.
Duration
5 Days
Who Should Attend
- Water utility managers and technical officers
- Water resource planners and engineers
- Non-Revenue Water (NRW) specialists
- Smart metering and billing professionals
- Data analysts and information management officers
- WASH programme managers and coordinators
- GIS and digital transformation specialists
- Government water sector officials
- Development partners and consultants
What you'll walk away with
By the end of the training, participants will be able to:
- Understand the role of AI in smart water metering and demand forecasting
- Analyze smart meter data to improve operational performance
- Apply predictive analytics to forecast water demand and consumption patterns
- Identify opportunities to reduce water losses and improve efficiency
- Utilize data-driven insights for planning and resource allocation
- Develop strategies for implementing AI-enabled smart water systems
What we cover, module by module
Module 1: Fundamentals of Smart Water Metering and AI
- Introduction to smart water metering technologies
- AI and machine learning concepts for utilities
- Digital transformation in water management
- Case Study: Smart utility operations and performance improvement
Module 2: Smart Meter Data Collection and Analytics
- Smart meter infrastructure and data flows
- Data quality, validation, and management
- Consumption pattern analysis
- Practical: Analyzing smart meter datasets
Module 3: AI-Powered Demand Forecasting
- Predictive analytics and forecasting techniques
- Demand modeling and consumption trends
- Seasonal and climate-related demand forecasting
- Practical: Building demand forecasting models
Module 4: Water Loss Management and Operational Optimization
- AI applications in non-revenue water reduction
- Leak detection and anomaly identification
- Customer behavior analytics and demand management
- Case Study: Data-driven utility optimization
Module 5: Implementation Strategy and Future Innovations
- Developing smart metering implementation roadmaps
- Data governance, cybersecurity, and privacy considerations
- Monitoring performance and measuring impact
- Practical: Designing an AI-enabled smart water management strategy
Where the change lands
Individual Impact
- Enhanced expertise in smart metering technologies and predictive analytics
- Improved ability to interpret water consumption data
- Stronger competencies in AI-driven decision-making and forecasting
Organizational Impact
- Improved water demand planning and resource allocation
- Reduced non-revenue water and operational inefficiencies
- Enhanced customer service and utility performance
- Stronger data-driven management and strategic planning capabilities
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 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·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.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid5 daysLearn how AI, satellite imagery, and remote sensing technologies support drought monitoring and water scarcity forecasting.
Hybrid5 daysBuild expertise in AI-driven water resource planning to strengthen water security, resilience, and climate adaptation.
Hybrid5 daysLearn AI-powered groundwater and aquifer sustainability modeling using machine learning, GIS and geospatial analytics for water resource planning and management
Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on AI for Smart Water Metering & Demand Forecasting 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.