Equipping national NTD programme professionals across Africa with practical generative AI skills for data analysis, reporting, and training material development.
AMPLIFY is a pioneering professional development programme jointly delivered by WHO’s ESPEN and Sightsavers. It equips Ministry of Health staff leading national NTD programmes with practical skills in generative AI.
National NTD programmes have limited access to capacity-building in data analytics, restricting data use beyond basic reporting and impeding the feedback loop between data quality and decision-making.
Built entirely on free AI tools and services, AMPLIFY ensures skills are not dependent on donor funding or paid subscriptions — creating sustainable, self-sufficient capacity countries can continue independently.
Participants learn through hands-on training sessions and monthly check-ins with expert instructors. Assignments use real NTD datasets, ensuring skills transfer directly to day-to-day programme work.
By embedding AI literacy within national NTD teams, AMPLIFY creates a lasting foundation for data-driven decision-making, improving programme quality and the reach of health worker training materials.
Our inaugural cohort brings together Ministry of Health NTD professionals from across sub-Saharan Africa — each nominated by their country to serve as an AI champion within their national programme.
AMPLIFY runs monthly, building progressively from AI fundamentals through to autonomous AI workflows and programme integration.
AMPLIFY 2026 · Seven-module programme · March 19 — September 17
Core concepts in generative AI and effective prompt design
Exploring and summarising NTD data with AI tools
Patterns, scenarios, and deeper data analysis techniques
Creating programme documents, reports, and training materials
Integrating AI tools into routine NTD programme workflows
Country-tailored use cases, case studies, and applied work
Planning for broader adoption and long-term sustainability
Demonstrating the transformative potential of generative AI in data analysis and training material development — leading to more informed decision-making and improved outcomes.
Built on freely available AI tools so skills endure beyond any single project or funding cycle
Covering data analysis, visualisation, reporting, and content creation with hands-on exercises
Real-world application in technical working groups such as national NOEC meetings
Monthly virtual check-ins to address challenges, share best practices, and sustain momentum
Pilot designed to lay groundwork for broader adoption across more countries and programmes
Better data quality, stronger programme decisions, and improved training materials at scale
Combining WHO’s ESPEN technical expertise in NTD elimination with Sightsavers’ commitment to building AI capability within national health systems.