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Responsible AI in Practice

Responsible AI training for practical aid workflows

For humanitarian, development, social-protection, governance, donor, and public-sector professionals who need to use AI faster, safely, and with better judgement.

Two facilitators

Every live session

Live, not webinar

Instructor-led practice

20 max

Capped cohort size

6 x 90 min

Over three weeks

Not pre-recorded. Not a webinar. Capped at 20 participants.

Next open cohorts

July starts Tuesday 21 July 2026

Dates
July cohort Open now

Tuesday 21 July / Thursday 23 July / Tuesday 28 July / Thursday 30 July / Tuesday 4 August / Thursday 6 August 2026

August cohort Applications open

Tuesday 18 August / Thursday 20 August / Tuesday 25 August / Thursday 27 August / Tuesday 1 September / Thursday 3 September 2026

September cohort Applications open

Tuesday 15 September / Thursday 17 September / Tuesday 22 September / Thursday 24 September / Tuesday 29 September / Thursday 1 October 2026

Schedule
Tuesdays + Thursdays, starting at 3:00 PM CEST / 2:00 PM BST / 9:00 AM US Eastern
Sessions are spaced so you apply what you learned on real work between sessions. Not a boot camp. A three-week practice cycle with 20-30 minutes of practical between-session tasks.
Investment
EUR 350 per person EUR 280 reduced rate for eligible participants — national and local NGO staff in low- or middle-income or crisis-affected countries, and aid workers between roles See reduced-rate eligibility
Group size
Up to 20 participants

Your facilitators

Two facilitators in every live session

Delivered by Thomas Byrnes and Marie-Josée Hamel, with Moayad Zarnaji as a trainer. One facilitator leads the content while the other reads the room, supports participants who need more time, and stretches those who are ahead. Albert Lamontagne supports delivery as facilitator-in-training, MarketImpact.

Thomas Byrnes

Thomas Byrnes

Lead facilitator

15+ years in humanitarian operations across 20+ countries, lead author of the GIZ DCI AI Hub Global Evidence Review, and the Rights-Based Risk Framework for AI in Social Assistance.

Marie-Josée Hamel

Marie-Josée Hamel

Operations Director, MarketImpact

Keeps the live cohort grounded in delivery, participant support, and operational realities so the practice transfers back into real teams.

Choose your format

Start, practise, build, or embed

Each format is practical on its own and gives you a clear next step when you are ready for more support.

Practise

Live Intro Lab

A facilitated introduction to responsible AI workflows.

EUR 75

Monday 20 July 2026, 13:00–14:30 UTC

Complete the Lab and the 75 euros comes off the price of a future full cohort if you go on to enrol.

Lite Workflow Card

Book the 20 July Lab

Build

Full six-session open cohort

Move from one-off prompting to responsible, repeatable workflows.

EUR 350 per person

EUR 280 reduced rate for eligible participants — national and local NGO staff in low- or middle-income or crisis-affected countries, and aid workers between roles

Full Cohort Workflow Card

Apply for July, August or September

Embed

Private team cohort

The full cohort adapted to your team workflows and risk boundaries.

Custom quote for teams

Full Cohort Workflow Card

Discuss private cohort

Full cohort detail

Six sessions over three weeks

The open cohort is for people who want to move from occasional AI use to responsible, repeatable workflows. Participants leave with a documented Workflow Card for one real recurring work process.

Short pre-training videos cover the basics before Session 1. Live sessions are reserved for practice, discussion, and guided failure, the moments where participants hit AI failure modes firsthand and learn to catch them. We do not waste instructor time on setup demos.

  • 6 live sessions x 90 minutes over 3 weeks
  • Recordings and between-session materials
  • CHEF Prompt Catalogue, reference materials, and verification prompts
  • Reusable Project or agent design
  • Full Cohort Workflow Card
  • Certificate of completion
  • Endline survey and post-course support path
  • Optional 45-minute follow-up call

What you leave with

Skills

  • CHEF prompting method for approved low-risk tasks and safe source material
  • Verification prompts and fresh-chat checking habits
  • Coach, Build, and Challenge agent-team design
  • Right-tool mapping across chat, Project, multi-agent, Cowork, and scheduled tasks
  • Risk review and human oversight plan

Artifacts

  • Reusable Projects or agents for recurring work
  • CHEF Prompt Catalogue and Workflow Card for one approved recurring workflow
  • Full paid Claude workspace access for the duration of the course, at a tier above Claude Pro, included in the course fee

Support

  • 30-day and 60-day check-ins to support sustained adoption

Course curriculum

The six-session pathway

Each session adds one working habit and ties the tool back to CHEF, verification, and human accountability.

Session 1

Get Past Generic AI

CHEF prompting with an approved low-risk task and safe source material.

Output: First usable CHEF prompt, saved reflection entry, and first Prompt Catalogue row.

  • Introduce CHEF as the course method.
  • Show the difference between AI memory and supplied context.
  • Establish the habit of using approved low-risk tasks, safe source material, and real judgement.

Session 2

Build Your Critic

First-answer scrutiny saved as a reusable critic.

Output: A critic prompt or skill that forces a fix, discard, or escalate decision.

  • Treat first answers as useful drafts, not final truth.
  • Build an honest critic that asks what is assumed and what is missing.
  • Use the critic on a safe real output and make a decision.

Session 3

Projects and Agents

Save the configuration and give it a role.

Output: First reusable Project or agent role for a recurring task.

  • Move from one-off prompting to saved CHEF setups.
  • Decide what belongs in instructions, files, and each fresh chat.
  • Assign Coach, Build, and Challenge roles around the workflow.

Session 4

Working Across Files

Reach is exposure: AI can now read what other people wrote.

Output: Low-stakes file-based test or documented readiness plan.

  • Use data gates before granting file or folder reach.
  • Practise safe multi-file work through browser upload or approved folder access.
  • Decide what the AI may read, trust, quote, and change.

Session 5

Loops and Goals

It runs alone, so you keep the decision.

Output: A delegated-goal decision with checkpoint placement and go/no-go reasoning.

  • Distinguish a task from a goal.
  • Watch a plan-act-check loop and decide where the human stands.
  • Experience prompt injection safely before applying the checkpoint habit to real work.

Session 6

Making It Stick

What persists must be governed.

Output: Stop rules, persistence decisions, Monday-morning commitment, and post-course support path.

  • Govern memory, saved instructions, files, logs, and connected tools.
  • Discuss what changes in the team workflow on Monday.
  • Commit to one practical next action and the check that keeps it safe.

Workflow Card system

Intro reflection and workflow cards

The Workflow Card is the practical bridge between learning about AI and using it responsibly on real work.

Lite Workflow Card

Live Intro Lab learners.

One approved low-risk task turned into a repeatable AI-assisted workflow: one task, one reusable prompt or agent, one verification step, and one practical next action.

  • One low-risk workflow candidate
  • One CHEF brief
  • One reusable prompt or primary agent
  • One verification habit

Full Cohort Workflow Card

Six-session open cohorts and private team cohorts.

A tested record of one approved, low-risk-to-practise AI-assisted workflow, including the task, safe or approved source material, agent design, verification method, risks, safeguards, and operational checklist.

  • Workflow architecture and agent-team design
  • Verification and human oversight plan
  • Risks, safeguards, and operational checklist
  • Personalised draft where enough detail is submitted by Session 4

Participants who submit enough workflow detail by Session 4 may receive a personalised draft Workflow Card. Others complete the standard card with facilitator support.

What participants say

Previous participants valued the practical workflow focus and realistic safe-use discussion.

Public feedback

"Key lessons from the training are definitely here to stay."

Lenka Blanarova, Head of Nutrition, Action Against Hunger UK

LinkedIn, April 2026

Mays Nawayseh
"Really well organised and informative, exactly what I needed. I learned a lot and the facilitation was great throughout. I'll definitely join the next cohort and recommend it to colleagues, huge thanks to the team."

Mays Nawayseh

AidGPT June 2026 cohort

Lili Mohiddin
"I am really pleased I did this course as it made AI accessible, providing very useful and applicable training materials relevant to the work I undertake."

Lili Mohiddin

AidGPT June 2026 cohort

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

View LinkedIn Profile
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

Ayesha Batool
"An incredible learning experience. This training demystified generative AI and Claude. The structure was perfect, brief high-impact pre-work videos combined with interactive live sessions that kept us engaged. The facilitators created an inclusive, energetic space where we could tackle AI ethics in humanitarian aid head-on, leaving us inspired and equipped to use AI effectively and ethically."

Ayesha Batool, UN

AidGPT June 2026 cohort

Rachid Moujaes
"The AidGPT 'Responsible AI in Practice' course was exactly what I needed as a humanitarian professional navigating AI adoption. Beyond the practical skills, building agents, designing workflows, and applying verification practices, it gave me a real framework for using AI safely and responsibly, with my organisation and the people we serve always front of mind. If you work in humanitarian or development settings and want to engage with AI confidently rather than cautiously from the sidelines, I'd encourage you to join the next cohort."

Rachid Moujaes

AidGPT June 2026 cohort

Kim Kristensen, FAO
"There's a lot I can do now that I couldn't do four weeks ago. More than worth the money spent."

Kim Kristensen, FAO

AidGPT April 2026 cohort

"Taking long reports, transcripts, or datasets and distilling them into clear summaries or bullet points saves hours of manual reading and note-taking."

Digital CFM Officer, NRC Sudan

"I really appreciated the training and found it practical."

Digital CFM Officer, NRC Sudan

"The AI training gave me the opportunity to learn new technology and improve the skills I use in my job responsibilities."

DCH Technical Assistant, NRC Sudan

Ready for the next facilitated cohort?

Apply for July, August or September

Trusted by

Norwegian Refugee Council
Caritas Switzerland
International Rescue Committee
Estonian Refugee Council
Action Against Hunger UK

Not compliance training

This is not a compliance checkbox

Compliance training tells your staff what not to put in. This course teaches them how to catch what AI gets wrong. That is a different skill, a different format, and a different outcome.

Investment

Clear public pricing

Choose a Live Intro Lab for a short facilitated introduction, a full cohort for supported workflow development, or a private format adapted to your team.

Live Intro Lab

EUR 75

Monday 20 July 2026, 13:00–14:30 UTC

Complete the Lab and the 75 euros comes off the price of a future full cohort if you go on to enrol.

90-minute facilitated group session

Book the 20 July Lab

Full six-session open cohort

EUR 350 per person

EUR 280 reduced rate for eligible participants — national and local NGO staff in low- or middle-income or crisis-affected countries, and aid workers between roles

Six 90-minute live sessions over three weeks

Apply for July, August or September

Private team cohort

Custom quote for teams

Six-session structure adapted to your organisation

Discuss private cohort

Eligibility for the reduced rate is confirmed at application stage based on the organisation or context you note in your application. There is no separate form.

See full reduced-rate eligibility Training terms

Frequently asked questions

Do I need technical experience?

No. The course is designed for non-technical professionals. We focus on practical judgement, good prompts, verification, and safe workflows rather than coding.

Which format should I choose?

Choose the Live Intro Lab if you want a short facilitated introduction, the full cohort if you want a supported workflow build, and the private cohort if your team needs adaptation to your tools and risk boundaries.

Who qualifies for the reduced rate?

The reduced rate is for individuals who are either: staff of a national or local NGO or civil-society organisation that is headquartered and primarily operating in a low- or middle-income or crisis-affected country; or aid and development professionals currently between roles, on a career break, or recently made redundant and self-funding their place. It does not apply to staff of international NGOs, UN agencies, donors, governments, academia, the private sector or consultancies, or to national societies and other entities based in high-income countries, or where an employer or grant is funding the place. If you are unsure whether you qualify, apply for the standard rate and mention your situation in the application notes. We confirm eligibility before invoicing. The full criteria are on the reduced-rate eligibility page.

What tools will we use?

The method works on any AI tool. The course fee includes a seat in a managed Claude workspace for the duration of the course, at a tier above Claude Pro, because the Claude ecosystem (Projects, agents, file-based workflows) currently supports the widest range of what we teach in Sessions 3-6. Everything you learn transfers to ChatGPT, Copilot, Gemini, Mistral, or local open-weight models. We are not sponsored by any AI provider. If a better platform emerges for teaching these workflows, we will move to it.

What if my organisation does not allow Cowork or desktop tools?

Cowork and desktop/file-based tools are optional and only used where installation, file access, and policy allow it. The core course works with approved chat or Project-style environments.

Will I get a personalised Workflow Card?

Participants who provide enough workflow detail by Session 4 may receive a personalised draft. Everyone receives the standard Full Cohort Workflow Card and facilitator guidance.

What happens if I miss a session?

Recordings and materials are shared with participants. You can catch up between sessions and use the learner materials to keep your Workflow Card moving.