Training on AI-Enhanced WASH MEAL: Predictive Analytics for Program Performance
Build practical skills in predictive analytics and AI-driven monitoring, evaluation, accountability, and learning for WASH programmes.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Advanced
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This advanced programme is designed to strengthen Monitoring, Evaluation, Accountability, and Learning (MEAL) systems through the application of Artificial Intelligence (AI), predictive analytics, and data-driven decision-making. Participants will gain practical skills in forecasting programme outcomes, identifying implementation risks, optimizing resource allocation, and enhancing performance monitoring across WASH interventions. Through practical exercises, case studies, and real-world applications, the programme equips participants to transform programme data into actionable insights that improve accountability, support adaptive management, strengthen organizational learning, and drive measurable programme impact.
Duration
5 Days
Who Should Attend:
- MEAL officers and managers
- WASH programme managers and coordinators
- Monitoring and evaluation specialists
- Data analysts and information management officers
- NGO and humanitarian practitioners
- Donor-funded project staff
- Research and learning professionals
- Government officers involved in WASH programme implementation
- Development partners and consultants
What you'll walk away with
By the end of the course, participants will be able to:
- Understand the role of AI and predictive analytics in WASH MEAL systems
- Apply data analytics techniques to monitor programme performance
- Develop predictive models for forecasting programme outcomes and risks
- Strengthen evidence-based decision-making and adaptive management
- Improve accountability, reporting, and learning processes
- Integrate AI-driven insights into programme planning and implementation
What we cover, module by module
Module 1: Foundations of AI-Enhanced MEAL Systems
- Introduction to AI, predictive analytics, and data-driven programming
- Evolution of MEAL in the WASH sector
- Data quality, governance, and ethical considerations
- Case Study: AI applications in development programmes
Module 2: Data Analytics for WASH Programme Performance
- WASH indicators and performance measurement frameworks
- Data collection, cleaning, and visualization techniques
- Identifying trends, patterns, and performance gaps
- Practical: Analyzing WASH programme datasets
Module 3: Predictive Analytics for Risk and Outcome Forecasting
- Predictive modelling concepts and methodologies
- Forecasting programme outcomes and service delivery performance
- Early identification of implementation risks
- Practical: Building predictive performance models
Module 4: AI for Accountability, Learning and Decision-Making
- AI-powered dashboards and reporting systems
- Real-time monitoring and adaptive programme management
- Learning systems and knowledge management
- Case Study: Predictive analytics for programme optimization
Module 5: Implementation, Governance and Action Planning
- Integrating predictive analytics into MEAL frameworks
- Data privacy, ethics, and responsible AI use
- Measuring impact and continuous improvement
- Practical: Developing an AI-enabled MEAL implementation roadmap
Where the change lands
Individual Impact
- Enhanced analytical and data interpretation skills
- Improved capacity to forecast programme outcomes and risks
- Stronger competencies in AI-enabled monitoring and evaluation
Organizational Impact
- Improved programme effectiveness and accountability
- Enhanced evidence-based planning and resource allocation
- Stronger learning, adaptation, and performance management systems
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.
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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-Enhanced WASH MEAL: Predictive Analytics for Program Performance 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.