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Training on Artificial Intelligence in Monitoring, Evaluation and Learning

This practical course equips participants with the skills to apply AI across the monitoring, evaluation and learning (MEL) cycle, including indicator design, data-quality review, qualitative and quantitative analysis, evaluation planning, evidence synthesis, and reporting. Through hands-on exercises and realistic programme scenarios, participants will learn to improve analytical efficiency and generate timely insights while maintaining data confidentiality, methodological rigor, human validation, and responsible AI practices.

Monitoring and Evaluation Courses

Our Monitoring and Evaluation courses are designed to equip participants with practical skills and knowledge to assess program performance, measure impact, and support evidence-based decision-making. They cover key areas such as results-based management, data collection and analysis, performance indicators, evaluation design, reporting, and learning frameworks, enabling individuals and organizations to improve accountability, enhance program effectiveness, and drive sustainable development outcomes.

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