Training course · ChatGPT · NGOs & Non-Profits

ChatGPT for Non-Profit Organisations

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“ChatGPT for Non-Profit Organisations” is a hands-on course for roles such as Fundraising and donor relations staff, Project and programme managers and Communications and campaigns teams. Rather than learning ChatGPT in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from NGOs & Non-Profits.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

Charities, foundations, associations and NGOs tackle big challenges with limited resources. A large share of their capacity goes into grant applications, reports to funders, donor communication, public relations and coordinating volunteers. Generative AI can reduce exactly this burden: it helps draft project proposals and impact reports, personalises fundraising letters, creates social posts in several languages and summarises feedback from programmes. Automations ease membership administration and volunteer coordination. That leaves more time for the mission itself. At the same time, non-profits carry special responsibility for sensitive beneficiary data and for credible, authentic communication.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Fundraising and donor relations staff
  • Project and programme managers
  • Communications and campaigns teams
  • Directors of charities, foundations and associations
  • Volunteer coordinators

Typical challenges we address

  • Scarce staff and financial resources
  • Heavy effort for grant applications and reporting to funders
  • Communication with many audiences across many channels
  • Protecting sensitive data of beneficiaries, donors and members

What you will be able to do

  • You write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • Produce grant applications, reports and donor communication more efficiently and precisely with AI.
  • Use AI responsibly and with data minimisation when handling beneficiary and donor data.
  • Relieve your team through simple automations in volunteer and membership administration.

Course outline

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
Module 6 Practice lab: NGOs & Non-Profits
  • Drafting grant applications
  • Impact and narrative reports
  • Donor communication
  • Campaigns and social media
  • Coordinating volunteers
  • Analysing feedback and surveys
Module 7 Data protection, quality & transfer to daily work
  • Beneficiary data can be highly sensitive, such as health, ethnic origin or religion, and does not belong in unapproved AI tools; donor and member data is subject to the GDPR. Funders may set their own rules on AI use, and AI-generated images in fundraising should be clearly labelled.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting grant applications

Funding criteria are turned into checklists, project logic with objectives, indicators and activities is structured, and proposal text is written to match the funder's requirements.

Impact and narrative reports

Project data, participant numbers and feedback become clear impact reports, annual reports and grant reports that present results transparently and honestly. Setbacks and lessons learned are presented constructively rather than hidden.

Donor communication

Thank-you letters, mailings and appeals are tailored to the audience and prepared in variants for segments such as first-time, regular or major donors. Personal tone and real stories stay central.

Campaigns and social media

AI helps sharpen key messages, build content calendars and write posts for different channels and languages – with a focus on authentic stories rather than generic copy.

Coordinating volunteers

Rotas, induction materials, FAQs and reminders for volunteers are prepared, and recurring coordination is simplified through forms and automations. New volunteers find their feet faster and tend to stay longer.

Analysing feedback and surveys

Open-ended feedback from participants, members or partners is grouped by theme and summarised to develop programmes in a targeted way. Results also feed into impact reports and funder conversations.

Prerequisites

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. Experience working in a non-profit organisation; no technical background required.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

Data protection & compliance

Beneficiary data can be highly sensitive, such as health, ethnic origin or religion, and does not belong in unapproved AI tools; donor and member data is subject to the GDPR. Funders may set their own rules on AI use, and AI-generated images in fundraising should be clearly labelled.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 Online Request
  • Mon, 7 December 2026 Berlin Request
  • Thu, 17 December 2026 Online Request
  • Wed, 13 January 2027 Stuttgart Request
  • Fri, 29 January 2027 Online Request
  • Thu, 4 February 2027 Hanover Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

Which AI tools suit organisations on a tight budget?

Many vendors offer discounted plans for non-profits, and even the basic versions of common AI assistants deliver a lot of value. What matters is that data protection and contract terms fit your data. The course is tool-neutral and helps you choose a suitable, affordable setup.

Is it credible to write fundraising letters with AI?

Yes, as long as the content stays authentic. AI helps you structure and vary text, but the stories, figures and images must be real and come from your work. Invented case studies or unlabelled AI images can damage trust for a long time.

How much does “ChatGPT for Non-Profit Organisations” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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