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For humanitarian and development professionals

Draft, analyse and check your work with AI.

Work with realistic project documents, verify AI-generated outputs and build reusable workflows through six live sessions and practical work between sessions.

AidGPT

Responsible AI, made practical

  1. FrameDefine the task
  2. GroundUse reliable sources
  3. VerifyCheck the output
  4. OwnMake the decision
Choose a cohort and apply Train your organisation

Live facilitation. Synthetic practice. Accountable human decisions.

Next available live cohorts

Choose a cohort that fits your schedule

EUR 350 including VATSelf-funded individual

EUR 280 including VATEligible self-funding rate

Six 90-minute live sessions over three weeksLive commitment

October 2026 offers morning and afternoon groups. November 2026 is afternoon only, with no cohort starting in December. From January 2027, one open cohort starts every five weeks, alternating mornings and afternoons, with two clear weeks between cohorts. Morning sessions run from 10:00 to 11:30 Cyprus time and afternoon sessions from 16:00 to 17:30. Cyprus times stay fixed when the clocks change. Additional cohorts may be offered if demand increases.

November 2026 cohort

November 2026

Applications remain open while places are available.

Afternoon cohort

Tuesdays and Thursdays

24 and 26 November; 1, 3, 8 and 10 December 2026

16:00 to 17:30 Cyprus time (14:00 to 15:30 UTC)

Choose afternoon cohort
See every available date and time

Employer paying? Organisation-funded open-cohort places are EUR 350 per participant excluding VAT and follow the invoicing process.

Ask about an organisation-funded place Pricing and VAT policy

Participant feedback

Gaurav Singh Basnyat, Norwegian Refugee Council

This training helped our teams understand AI in a practical, responsible way. People came out with real workflows they can use immediately, clearer safeguards, and the confidence to work safely with these tools. It was one of the most relevant and useful trainings we've had this year.

Gaurav Singh Basnyat Digital Programme Development Manager Norwegian Refugee Council
Read all results

Live facilitation

Live facilitated sessions with structured learner support

Live sessions combine guided teaching, discussion, practice and structured learner support. The delivery team is assigned for each cohort according to its size, needs and confirmed facilitator coverage.

Meet the facilitator team
  • Thomas Byrnes

    Thomas Byrnes

    Lead facilitator

  • Marie-Josée Hamel

    Marie-Josée Hamel

    Senior Consultant

  • Moayad Zarnaji

    Moayad Zarnaji

    Facilitator

  • Albert Lamontagne

    Albert Lamontagne

    Facilitator

  • Avril James

    Avril James

    Director of Global Operations, MarketImpact

Cohort evidence

What participants reported

July 2026 cohort · Responses to · n=7

  • 8.7/10 average programme rating
  • 8.9/10 average likelihood to recommend
  • 5 of 7 had built a work application

Learning examples

Three ways you will practise

Each example uses fictional or synthetic material and makes the human checks visible.

  • Create a source-based draft

    Starting material
    A fictional project brief and approved reference notes.
    Task
    Draft a concise update for a defined audience.
    Checks
    Trace each material statement to a source and mark gaps or assumptions.
    Output
    A usable draft with visible source boundaries.

  • Analyse with visible checks

    Starting material
    A synthetic monitoring table and narrative records.
    Task
    Identify patterns, exceptions and questions that need human judgement.
    Checks
    Recalculate key values, test claims against the records and disclose uncertainty.
    Output
    An analysis that shows how its conclusions were checked.

  • Build a reusable workflow

    Starting material
    A repeated low-risk task and its working instructions.
    Task
    Turn a successful one-off process into a repeatable sequence.
    Checks
    Define safe inputs, review points, stop rules and ownership of the result.
    Output
    A workflow card you can adapt to approved work.

Included in the cohort

A focused live programme

Six 90-minute live sessions over three weeks, plus 20–30 minutes of practice between sessions

  • Nine hours of live teaching
  • Practice with realistic fictional project documents
  • Source-based drafting, analysis with visible checks and a reusable workflow
  • A Full Cohort Workflow Card

Choose the route that fits

Join a shared open cohort or commission a programme adapted to your organisation.

  1. Open cohorts

    Learn through Eleni’s world

    A shared fictional workplace gives every learner realistic evidence, decisions and constraints without exposing real organisational data.

    See dates and cohort details

  2. Custom programmes

    Built around your audience

    Adapt the roles, source material, tasks and governance context for an agency, government team or organisation while keeping the AidGPT core.

    Discuss a tailored programme

Participant evidence

From uncertainty to useful practice

Dan Amias

I signed up a little nervous it might be too introductory. It wasn't. The instructors pitched it at a useful technical level for people already working with AI in practice. The cohort format meant real-time pressure-testing of ideas, and other participants' questions sharpened my thinking. If you work in the humanitarian or development sector and want to go beyond the hype on AI, this is worth your time.

Dan Amias Elrha AidGPT June 2026 cohort
Leah Donoghue

The training took something complex and made it workable. The trainers have a rare gift for translating daunting territory into practical, usable guidance that lands across different roles and industries. I walked in uncertain. I walked out confident, equipped to use these tools wisely, and clear-eyed about what I should and shouldn't do.

Leah Donoghue AidGPT June 2026 cohort

The learning journey

Six sessions. Six practical questions.

The course moves from understanding and controlling AI to building useful systems and making responsible decisions about how they should be used.

  1. Understand and control AI

    What is AI, how should we think about it, and how can we control it?

    Learn to choose a worthwhile task, give AI a proper brief and remain responsible for the purpose, constraints and final result.

  2. Trust and verify its work

    When can we trust AI-generated work, and how should we challenge, check and verify it?

    Learn to ground work in reliable sources, challenge the first answer, test important claims and explain material AI use when accountability requires it.

  3. Structure longer work

    What structures allow an AI system to work reliably over longer, multi-step tasks?

    Learn to organise instructions, context, source material and intermediate outputs so useful work does not depend on one increasingly unreliable conversation.

  4. Connect it safely

    What can AI reach and do through connectors, local files, browsers and computer access—and how should that access be controlled?

    Learn to distinguish availability from authority, limit access to what the task requires and keep consequential actions behind an explicit human decision.

  5. Build useful systems

    What useful applications become possible when we combine these capabilities with deliberate memory and reusable context?

    Learn to turn a successful piece of AI-supported work into a repeatable system that retains the right instructions, sources, checks and organisational knowledge.

  6. Govern responsible adoption

    What does this mean for risk, accountability, organisational policy and the future of work?

    Decide what should be adopted, what needs safeguards or policy, what remains experimental and what should stay human-led.

Synthetic practice world

Draft, analyse and check your work with AI.

Eleni Andreou is Head of Programmes at Koinon Relief Partnership in the fictional Republic of Alashiya. She works across programme priorities, evidence, partners and operational constraints during early recovery. Her role gives the cohort a consistent point of view without using real organisational or personal information.

Synthetic training material — not a real crisis or participant case.

Role
Eleni Andreou · Head of Programmes
Organisation
Koinon Relief Partnership
Setting
Republic of Alashiya
Choose a cohort and apply

Public guide · MI-GUIDE-001

AI Disclosure and Use (MI-GUIDE-001)

A free ten-page guide for managers: what staff may use AI for, what must be disclosed, and a staff notice ready to adapt and issue. Free, ungated and CC BY 4.0.

Read the guide Browse all resources Download the PDF

Public guide · MI-GUIDE-002

Verification-First (MI-GUIDE-002)

A free six-page protocol for commissioning AI-assisted analysis you can defend: seven phases, nine failure modes with the control that caught each one, and ten requirements you can write into terms of reference. Free, ungated and CC BY 4.0.

Download the guide Read the case exhibit