Learn to use AI tools like ChatGPT, Claude, Gemini, Copilot, and NotebookLM for real MEL tasks.
Use AI to quickly review and summarise programme documents, evaluation reports, and policy papers.
Generate and refine evaluation questions, develop evaluation matrices, and design data collection approaches.
Code interview transcripts, identify themes, synthesise findings, and generate evidence-based conclusions.
Interpret dashboard data, identify trends in indicator tracking, and generate narrative summaries of quantitative findings.
Draft learning briefs, case studies, lessons learned documents, and stakeholder communications.
Understand bias, privacy, confidentiality, and ethical considerations when using AI in development contexts.
Melcademy AI courses cover practical workflows for using AI to support document review, evaluation design, coding and synthesis, report drafting, dashboard interpretation, learning briefs, stakeholder communication, and programme adaptation.
Learn to use AI tools like ChatGPT, Claude, and Gemini to support real MEL tasks — from document review to indicator analysis and report drafting.
Master prompt engineering for MEL tasks: evaluation questions, document synthesis, qualitative coding, and donor report drafting.
Use AI to support evaluation design, refine evaluation questions, review programme documents, and develop evaluation matrices.
Learn to use AI for coding interview transcripts, synthesising qualitative data, identifying themes, and generating evidence-based findings.
Transform raw programme data into clear, compelling reports that inform decisions and satisfy donor requirements.
Understand the ethical, privacy, and practical considerations of using AI in international development and humanitarian contexts.