AI for MEL

Use AI responsibly in real MEL work.

Melcademy helps MEL professionals understand where AI can genuinely support their work — and where human judgement still matters. No hype. Just practical workflows.

AI for MEL workflows

Practical AI use cases for MEL

Learn to use AI tools like ChatGPT, Claude, Gemini, Copilot, and NotebookLM for real MEL tasks.

Document Review

Use AI to quickly review and summarise programme documents, evaluation reports, and policy papers.

Evaluation Design

Generate and refine evaluation questions, develop evaluation matrices, and design data collection approaches.

Qualitative Analysis

Code interview transcripts, identify themes, synthesise findings, and generate evidence-based conclusions.

Data Interpretation

Interpret dashboard data, identify trends in indicator tracking, and generate narrative summaries of quantitative findings.

Learning Products

Draft learning briefs, case studies, lessons learned documents, and stakeholder communications.

Responsible Use

Understand bias, privacy, confidentiality, and ethical considerations when using AI in development contexts.

What you'll learn

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.

Prompting for MEL tasks
Using AI to review programme documents
Generating and refining evaluation questions
Supporting theory of change analysis
Synthesising interview notes and qualitative data
Drafting learning briefs and reports
Analysing indicator data
Building AI-assisted reporting workflows
Understanding bias, privacy, confidentiality, and responsible use
Keeping humans in the loop

AI courses

Ready to use AI in your MEL work?

Join the waitlist for early access to practical AI for MEL courses.