Use AI to Transform MonitoringEvaluationLearning
A practical eLearning course for development professionals to apply Generative AI across monitoring, evaluation, and learning and Programme Design.
Trusted by development professionals, NGOs, and global teams working to scale impact through data and technology.
This course uses multiple AI platforms for learning purposes only. We do not endorse them.
What is it?
Learn how to harness
AI for Development.
This course is designed for MEL officers, NGO staff, researchers, government teams, and development practitioners looking to integrate AI into their workflows in a practical and responsible way.
It combines self-paced learning with tutor-led support, including live webinars and personalised check-ins, so participants build both conceptual understanding and real-world skills.
Course Highlights
What you'll
learn with us.
This topic shows how AI can support evaluators across the full evaluation process — from framing evaluation questions and approaches, to desk review, analysis, synthesis, and reporting. The focus is on using AI to work faster while keeping human judgment and methodological rigour.
This topic focuses on how AI can improve the design and implementation of data collection tools. Examples include drafting survey questions, improving interview guides, refining wording for different audiences, translating instruments, and supporting enumerator guidance — while ensuring data quality and ethical safeguards.
This module covers practical ways GenAI can support analysis and reporting tasks, such as summarising qualitative data, structuring findings, generating first drafts, creating executive summaries, and producing different report formats (briefs, slide decks, blog-style outputs). Emphasis is placed on verification and human review.
This section teaches how to keep humans in control when using AI — especially in development contexts where decisions affect people and resources. Learners explore review workflows, quality assurance steps, and how to prevent over-reliance, hallucinations, and biased outputs.
This topic explores how AI can support early-stage program design, including problem analysis, stakeholder mapping, theory of change, logframe drafting, risk analysis, and proposal structuring. The focus is on using AI as a structured thinking partner rather than a replacement for technical expertise.
This section introduces responsible AI principles relevant to MEL and international development, including fairness, transparency, accountability, privacy, and avoiding harm. Learners reflect on how to use AI in ways that align with development values and organisational policies.
This topic focuses on practical cyber safety when using AI tools: protecting sensitive data, avoiding accidental data exposure, using safe sharing practices, managing access and permissions, and understanding what should never be uploaded into AI systems.
This section shows how AI can support data storytelling — turning technical findings into clear narratives for different audiences (communities, donors, policymakers, internal teams). Learners explore how to create structured stories, key messages, and communication outputs while keeping accuracy and avoiding oversimplification.
What You’ll Learn
Practical AI skills you can apply immediately
Built around real MEL use cases, this training focuses on tools and workflows you can start using right away.
Automate data cleaning and structuring
Generate reports and summaries in minutes
Analyze qualitative and quantitative data faster
Improve surveys and data collection processes
Extract insights and patterns with AI
Reduce repetitive manual work
How it Works?
The program combines hands-on learning, expert guidance, and real-world frameworks to help you integrate AI into your MEL workflows effectively and responsibly.
Practical Training
Learn by applying AI to real MEL workflows
Work through hands-on exercises and case studies using real-world MEL scenarios, from data collection to reporting, so you can immediately apply what you learn in your own projects.
- Automating data cleaning and structuring
- Using NLP for qualitative analysis and sentiment mining
- Building dashboards and generating reports with AI
- Applying predictive models for outcomes and risk analysis
Expert Insights
Learn from real-world AI use in development
Gain insights from global applications of AI in development contexts, helping you understand what works, what doesn’t, and how to apply AI effectively within your organisation.
- Case studies like food security prediction and remote sensing
- Common implementation challenges and pitfalls
- Practical tips for adoption in low-tech or conservative environments
Ethical AI Frameworks
Apply AI responsibly within MEL systems
Understand how to use AI ethically and responsibly, ensuring your work remains credible, inclusive, and aligned with development principles.
- Identifying and reducing bias in AI outputs
- Ensuring data privacy and protection
- Applying ethical standards and impact assessments
- Avoiding risks like data misuse or “data colonialism”
Implementation Strategy
Turn AI into a working system, not just a tool
Move beyond experimentation by learning how to implement AI within your organisation through structured, realistic strategies.
- AI readiness assessments
- Step-by-step adoption roadmaps
- Team integration and change management
- Performance tracking and continuous improvement
Tools, Templates & Resources
Everything you need to apply AI immediately
Access a curated set of tools, templates, and resources designed specifically for MEL professionals, helping you implement faster without starting from scratch.
- AI-readiness checklists and frameworks
- Ethical review templates
- Data strategy and workflow templates
- Curated AI tools for MEL
- Peer learning and support resources
tutor check-in
Get private sessions with our experts
Access a curated set of tools, templates, and resources designed specifically for MEL professionals, helping you implement faster without starting from scratch.
- AI-readiness checklists and frameworks
- Ethical review templates
- Data strategy and workflow templates
- Curated AI tools for MEL
- Peer learning and support resources
Get Access to our Exclusive Webinar
Get instant access to our exclusive webinar with practical insights and actionable strategies you can apply right away.
Who is this for?
Built for real-world development work.
Designed for MEL professionals.
Whether you're new to AI or already exploring it, this program helps you apply it effectively in your day-to-day work. Walk away with the ability to save hours on reporting, improve data quality, and confidently use AI across your MEL workflows.
NGOs, development organisations & researchers
Improve monitoring systems and automate reporting across projects.
MEL Specialists, Officers & Managers
Enhance data analysis, visualization, and insight generation.
Looking to improve efficiency & reporting
Make faster & smarter decisions as a team using AI-powered insights.
Your Mentors
Learn from practitioners applying AI in real-world development contexts
The program is led by experienced professionals working at the intersection of AI and international development, bringing practical insights from real projects — not just theory.
Your mentor brings hands-on experience in applying AI within Monitoring, Evaluation, and Learning systems across development programs — helping you understand how to use these tools effectively in real organisational settings.
Kerry Bruce
Kerry Bruce is a global development expert specializing in research, evaluation, digital innovation, and AI, with 30 years' experience.
Silva Ferretti
Silva Ferretti is a consultant using participation, Al, and creativity to simplify complexity and support inclusive, responsive humanitarian and development efforts.
Hayat Askar
Independent evaluation and public policy consultant with 15+ years’ experience in monitoring, evaluation, research, and project management, holding a Graduate Diploma in Program Evaluation.
Valentine Gandhi
Valentine J Gandhi, is a senior Evaluation, Innovation and Tech4Good specialist, with over 20 years of interdisciplinary experience at both field and policy level.
Chris Perry
Principal Consultant & Generative AI Lead at Itad with 25+ years in evaluation, AI, and international development expertise worldwide.
Bring AI into your MEL workflow
Start working faster, smarter, and more efficiently with AI tools tailored for Monitoring, Evaluation & Learning.