Skip to content
Consulting
GroupDlearn Consulting Group
ADR103Intermediate5 daysClassroom · Live online · In-house

AI for Monitoring, Evaluation & Learning (MEL)

Use AI across the MEL cycle, from data collection to analysis, dashboards and reporting.

You will leave with: An impact dashboard and AI-assisted evaluation report for a real programme

Overview

Built for NGOs, development programmes and government projects. Participants use AI to design indicators and tools, clean and analyse field data, analyse beneficiary feedback at scale, build impact dashboards and write donor-ready reports.

Duration
5 days
Level
Intermediate
Approach
70% hands-on
Certificate
Competency certificate

African context: NGO programmes, county projects and government social protection

AI tools you will use

  • KoboToolbox
  • ODK
  • ChatGPT
  • Power BI
  • Excel

Who should attend

  • M&E officers and managers
  • Programme and project staff
  • Development partners and evaluators

What you will be able to do

  • 01Design results frameworks and data tools with AI support
  • 02Clean and analyse field data from KoboToolbox and ODK
  • 03Analyse community feedback and qualitative data at scale
  • 04Build impact dashboards and write reports faster

Course modules

  1. Module 1

    AI in the MEL cycle

    • Theory of change and indicators
    • Tool design with AI
    • Ethical considerations

  2. Module 2

    Digital data collection

    • KoboToolbox and ODK
    • AI-assisted form design
    • Data quality checks

  3. Module 3

    Analysis with AI

    • Quantitative analysis
    • Feedback and sentiment analysis
    • Disaggregation

  4. Module 4

    Dashboards and reporting

    • Power BI impact dashboards
    • Donor reports
    • Learning briefs

Upcoming dates

Express interest in a date and we will send you a quotation. Groups and in-house delivery are also available.

January 20271 intake

April 20271 intake

August 20271 intake

November 20271 intake

Frequently asked questions

How do I join a course?

Choose a course and date, then click Express interest. Tell us how many people you would like to train, and we will send you a quotation or proposal and an invoice within one working day.

Why aren't course fees shown on the website?

Every engagement is shaped around the number of participants, the delivery mode and how much tailoring you need. We send a clear quotation or proposal for your specific needs, usually within one working day.

Do I need a technical background?

No. Most of our courses are designed for professionals with no technical or programming background. Each course page shows its level, and advanced courses list any prerequisites.

What will I leave with?

Every participant leaves with a tangible output (a working tool, dashboard, policy or portfolio project built on their own work) and a Dlearn certificate of competency.

Can a course be delivered just for our organisation?

Yes. Every course can be run in-house at your premises, at a venue of your choice, or online, and tailored to your sector, systems and data. We send a proposal within two working days.

Do you train large groups or whole organisations?

Yes. Our AI capacity building programmes train hundreds of staff across departments or counties, with learning pathways from foundation to advanced and reporting for leadership and funders.

How do I pay?

Once you accept our quotation, we issue an invoice payable by bank transfer, M-Pesa or cheque. Payment is normally due before the course starts unless agreed otherwise.

More in AI for Data, Research & M&E

AI for Data, Research & M&EADR101

AI for Data Analysis & Visualisation

Clean, analyse and visualise data with AI, then build dashboards leaders actually use.

3 daysFoundation

You build: A working Power BI dashboard built on your organisation's data

AI for Data, Research & M&EADR102

AI-Powered Research, Policy Analysis & Knowledge Management

Speed up literature reviews, qualitative analysis, policy briefs and donor reports with AI.

3 daysIntermediate

You build: A completed AI-assisted literature review or policy brief on your own topic

AI for Data, Research & M&EADR301

Applied Machine Learning with Python

Build, evaluate and deploy machine-learning models on real African datasets.

5 daysAdvanced

You build: A trained, evaluated and deployed machine-learning model

Training 5 or more people? Bring the course to your team.

Any course in our catalogue can be tailored and delivered in-house, at your premises or online. We send a proposal within two working days.

Request an in-house proposalBrowse the catalogue