Built for practitioners, not beginners
You have M&E experience
You know what a logframe is. You have designed indicators. You have written donor reports. This course assumes your M&E knowledge.
You have time pressure
KII guides due tomorrow. Donor report this week. Evaluation ToR next month. Every lesson is designed so you can apply what you learn to your actual workload.
You want skills that transfer, not task-by-task recipes
A task-by-task course teaches you 30 things. This course teaches you the underlying techniques — so you can apply AI to any M&E work you face, including tasks this course never explicitly covers.
Why M&E Studio Courses?
Practitioner-Focused
Created by M&E practitioners for practitioners. Real workflows, real challenges, real solutions.
Technique-Based Learning
Organized around 19 transferable techniques, not task-by-task recipes. Learn once, apply everywhere.
Self-Paced
Complete coursework on your schedule. Learn at the pace your workload allows.
Certificate of Completion
Earn a certificate for your portfolio. Showcase your skills to employers and clients.
Real-World Case Studies
Learn from actual M&E programs: what worked, what did not work, and why.
Grounded in MEAL Standards
Every deliverable is quality-checked against professional M&E standards — not generic AI outputs.
AI Courses
Hands-on training built around real M&E work. Not generic AI productivity — M&E-specific techniques.
AI for M&E Practitioners
39 lessons organized around 19 transferable techniques — so you can apply AI to any M&E task, including ones this course never covers.
Tools You'll Use:
What You'll Learn:
- Apply 19 transferable AI techniques to any M&E deliverable
- Build context briefs, role assignments, and interaction designs that eliminate generic output
- Systematically check, verify, and iterate on AI-generated M&E work
- Adapt AI workflows across sectors, donors, and audience types
- Design reusable workflows and a personal AI adoption plan
AI for M&E Managers
For decision-makers: evaluate AI tools, manage risk, set organizational policy, and lead AI adoption in M&E teams.
Tools You'll Use:
What You'll Learn:
- Evaluate AI tools for organizational fit
- Develop responsible AI policies for your team
- Manage privacy and ethical risks
- Lead team adoption of AI workflows
- Build business cases for AI investment
5 Modules. 39 Lessons. 19 Transferable Techniques.
Organized around techniques that transfer — not tasks you memorize. From foundational understanding to workflow design.
Module 1Foundations
7 lessons — how AI works and how to work with it
Foundations
7 lessons — how AI works and how to work with it
Module 2Prompting & Producing
9 lessons — getting usable first drafts
Prompting & Producing
9 lessons — getting usable first drafts
Module 3Quality Control
8 lessons — checking, correcting, and enforcing standards
Quality Control
8 lessons — checking, correcting, and enforcing standards
Module 4Advanced Applications
8 lessons — adaptation, multimodal, and code work
Advanced Applications
8 lessons — adaptation, multimodal, and code work
Module 5Workflows & Systems
7 lessons — templates, quality chains, and adoption
Workflows & Systems
7 lessons — templates, quality chains, and adoption
The M&E work you'll master
Techniques are the vehicle. The destination is M&E work you can deliver with confidence. Across 39 lessons, you'll apply these techniques to 36 professional M&E deliverables.
Complete KII Guide
10 thematic questions, 4 sets of probes, a context brief, and a closing question — for your actual program.
Coded Transcript + Codebook
A marked-up FGD transcript with applied codes, definitions, and inter-rater calibration notes.
Survey Instrument
A complete survey with question types, skip logic, response options, and translation notes ready for deployment.
FGD Facilitation Guide
A structured discussion guide with warm-up questions, core themes, probing strategies, and time allocation.
Site Monitoring Checklist
A field-ready observation checklist with scoring criteria, SOPs, and data capture instructions.
Enumerator Training Package
A training agenda, field manual, and reference card that enumerators can take into the field.
How does this course compare?
A plain-English breakdown for M&E practitioners who have seen AI courses before and found them lacking.
vs Free YouTube
YouTube is great for "what is ChatGPT" introductions. This course starts where that leaves off — it assumes you know M&E, assumes you have tried AI, and teaches you why your prompts are not working for M&E tasks.
vs Generic AI Courses
Generic AI courses cover productivity, writing, and business use cases. None were built around the specific M&E workflow — KII design, transcript coding, DQA, evaluation ToR writing. This one was.
vs Building It Yourself
You can prompt-engineer your own M&E workflows. It takes months of iteration and a lot of failed outputs. This course gives you tested, failure-analysed techniques and prompts you would otherwise need to discover yourself.
| What most courses do | What this course does |
|---|---|
| Teach one task at a time — when you hit a new task, you're stuck | Teach 19 transferable techniques — each one applies across dozens of M&E tasks |
| Apply level throughout — same cognitive demand every lesson | Bloom's taxonomy progression: Understand → Apply → Analyze → Evaluate → Create |
| Show AI outputs without M&E context | Every demo is grounded in real M&E deliverables and professional standards |
| Generic prompts that work on anything | Technique-specific patterns with failure modes for M&E work |
| No exercise files — learners start from scratch | Realistic anonymized M&E data for practice in every lesson |
| Single tool (usually ChatGPT only) | Claude.ai, ChatGPT, and Gemini — with tradeoff notes for M&E use |
Try before you buy
Download free M&E + AI resources and see the course quality for yourself.
AI for Qualitative Data Collection - Mini-Guide
The complete AI-assisted workflow for generating KII question guides, FGD discussion guides, and observation protocols. Includes 5 ready-to-use prompt templates.
Use this to generate your first AI-powered KII guide before you even start the course.
SMART Indicator AI Reference Card
One-page reference for using AI to generate, test, and refine SMART indicators. Covers the 5 most common AI failures when generating indicators and how to fix them.
Pin this next to your monitor. Works with Claude.ai, ChatGPT, or Gemini.
No credit card required
Train your entire M&E team
Structured AI training for M&E teams at INGOs, UN agencies, and donor-funded programmes. 39 lessons, 5 modules, 19 transferable techniques applied to real M&E work. Group pricing and custom delivery options available.
Stop reinventing the wheel.
Start producing better M&E work.
39 lessons. 19 techniques. Real AI workflows for real M&E professionals.