AI for Monitoring, Evaluation & Learning (MEL) Training

Practical AI training for MEL professionals to improve data analysis, evaluation, reporting, evidence synthesis and decision-making. About This Training Artificial Intelligence is changing how Monitoring, Evaluation and Learning professionals analyse data, generate insights and support programme decision-making. This practical AI for Monitoring, Evaluation & Learning (MEL) Training equips participants with the skills to apply AI across the MEL cycle, including indicator design, data-quality review, qualitative and quantitative analysis, evaluation planning, evidence synthesis and reporting. The training focuses on practical application rather than AI theory. Participants will learn how to use AI to improve analytical efficiency, strengthen reporting and generate timely insights while maintaining data confidentiality, methodological rigour, human validation and responsible AI practices. What You Will Learn By the end of the training, participants will be able to: • Apply AI across key stages of the Monitoring, Evaluation and Learning cycle • Use AI to support indicator development and MEL planning • Improve data-quality review and identify inconsistencies • Analyse qualitative and quantitative programme data more efficiently • Support evaluation planning and evidence synthesis • Extract insights from reports, surveys, interviews and programme documentation • Improve MEL reporting and communication of findings • Use AI to support evidence-based programme decisions • Protect sensitive programme and beneficiary information • Validate AI-generated analysis using professional judgement and human oversight Who Should Attend? This training is designed for: • Monitoring & Evaluation Officers • MEL / MEAL Specialists and Managers • Programme and Project Managers • Evaluation Professionals • Research and Data Officers • NGO and INGO Professionals • Donor-Funded Project Teams • Government and Public-Sector Officers • Development Practitioners • Professionals responsible for programme reporting, learning and evidence What to Expect This is a practical, instructor-led professional training programme. Participants will work through realistic programme scenarios, guided exercises and applied examples showing how AI can support everyday MEL work. The emphasis is on understanding where AI adds value, where human judgement remains essential, and how to use AI responsibly in professional monitoring and evaluation environments. Key Areas Covered • AI applications in Monitoring, Evaluation and Learning • MEL planning and indicator development • Data-quality assessment • Qualitative data analysis • Quantitative data analysis • Evaluation design and planning • Evidence synthesis • Programme reporting • Knowledge and learning • AI-supported decision-making • Responsible AI use in MEL • Data confidentiality and privacy • Human validation of AI-generated outputs Training Approach The programme combines: • Instructor-led sessions • Practical demonstrations • Guided AI exercises • Realistic MEL scenarios • Case-based discussions • Individual and group exercises Training Duration 5-Day Classroom Training Registration for this Eventbrite event covers the full training programme on the dates shown above. Certification Participants who successfully complete the programme will receive a Certificate of Professional Proficiency from Devimpact Institute. Why Attend? This training is ideal for professionals who want to move beyond experimenting with AI and begin applying it practically to monitoring, evaluation, learning, reporting and programme decision-making. Spaces are limited for this training cohort. Register through Eventbrite to secure your place. Register here https://devimpactinstitute.com/courses/monitoring-and-evaluation/training-on-artificial-intelligence-in-monitoring-evaluation-and-learning/