The modern academy for MEL, data and responsible AI.

Melcademy is a specialist online learning platform for MEL professionals who want to build practical, job-ready skills in Monitoring, Evaluation and Learning, while also learning how to use data tools and AI responsibly in real-world development work.

Who Melcademy is for

Melcademy helps M&E officers, MEL managers, consultants, NGO staff, donor teams, programme managers, and international development professionals strengthen their skills in evaluation design, results frameworks, Excel, Power BI, dashboards, data analysis, reporting, digital MEL systems, and AI-assisted MEL practice.

M&E Officers & Managers

Strengthen core skills and learn modern tools.

MEL Consultants

Expand your toolkit with AI and data skills.

NGO & INGO Staff

Build practical skills for programme monitoring.

Programme Managers

Use data and dashboards for better decisions.

Four connected learning areas

Melcademy positions itself at the intersection of MEL methods, data skills, AI, and digital systems.

Core MEL Skills

Monitoring, evaluation design, results frameworks, theories of change, indicators, evaluation questions, learning systems, reporting, and adaptive management.

Data Skills for MEL

Excel, Power BI, dashboards, data cleaning, data analysis, survey data, indicator tracking, visualisation, and donor reporting.

AI for MEL

Practical and responsible use of AI tools such as ChatGPT, Claude, Gemini, Copilot, and NotebookLM to support evaluation design, document review, synthesis, qualitative analysis, reporting, and programme decision-making.

Digital MEL Systems

Simple databases, dashboards, information systems, digital tools, automation, and AI-enhanced workflows for MEL teams.

Created by a MEL, data and AI practitioner.

Melcademy is developed by a practitioner with deep experience across Monitoring, Evaluation, Learning, data systems, dashboards, analysis, AI, and digital tools for international development.

The platform is designed around the skills MEL professionals need in actual projects — not just theory, and definitely not AI hype wearing a blazer.

MEL, data and AI expertise