AI Training for Nonprofits: Which Course to Start With
Several providers now offer free AI training for nonprofits, and the courses differ in length, focus and the tools they teach. This guide reviews six of them, from Anthropic, Google, Microsoft, OpenAI, NetHope and the Humanitarian Leadership Academy. It covers what each one teaches, then suggests a first course for each role in your organization. A companion guide on what to do after training is coming soon.
Key Takeaways
- Where nonprofits stand: In NTEN and Bridgespan's 2026 survey, 37% of nonprofits don't train staff on AI tools and 18% have training in place (NTEN and Bridgespan, 2026).
- Choosing a first course: Anthropic's AI Fluency for Nonprofits is a good starting point for most staff. Microsoft's and Google's nonprofit paths suit teams on those tools, and leaders, program staff and IT teams can each start in a different place.
- Policy: A short AI policy sets shared standards for what's allowed while the tools keep changing. Update it as your team learns.
- What comes next: A course gives your team the foundation at Crawl on the AI maturity ladder. Context, skills and agents build on it.
Why AI training for nonprofits matters now
Your staff are probably already using AI. In the 2026 State of Nonprofit AI Adoption and Governance survey of 917 organizations, NTEN and The Bridgespan Group found that 37% don't train staff on AI tools and only 18% have training in place. Just 22% train staff on safe use, and 39% have written guidance on responsible use. Just 8% have an AI roadmap for the next one or two years (Bridgespan).
Google's own survey points the same way. In a survey of more than 6,000 nonprofits, 86% said AI could make their work more effective, but only 49% use it regularly (Google.org, 2026).
Atlassian's 2026 State of Nonprofit Teams report, based on 306 nonprofit knowledge workers, shows the same pattern. Over half (53%) already use AI at least once a week. Only 15% say they have extensive opportunity to learn AI skills, and 23% name limited skills or training as a main obstacle to getting value from AI (Atlassian, 2026).
Our AI maturity ladder calls the first stage Crawl: every staff member uses AI weekly and knows what to keep out of it. Training is one way to get there. A shared course gives the whole team the same vocabulary for what AI is good at, where it fails, and what data never goes in.
AI courses for nonprofits
Every course below is free. Details were checked in October 2026.
| Course | Provider | Time | Best for |
|---|---|---|---|
| AI Fluency for Nonprofits | Anthropic, with GivingTuesday | 4–6 hours | All staff, any tool |
| AI for Nonprofits | ~3 hours | Teams on Google Workspace | |
| Introduction to AI Skills for nonprofits | Microsoft Learn | Self-paced | Teams on Microsoft 365 |
| OpenAI Academy | OpenAI | Self-paced | ChatGPT users |
| Fundamentals of AI for Nonprofits | NetHope, on Kaya | ~2 hours | Senior and field-office leaders |
| Ethical AI use in humanitarian work | Humanitarian Leadership Academy | ~30 minutes | Humanitarian staff |
Anthropic: AI Fluency for Nonprofits
This is the course we suggest first because it is free, written for nonprofit staff, and its framework applies to any AI tool. It is built around the 4D framework: Delegation (deciding what to hand to AI), Description (explaining the task well), Discernment (judging the output) and Diligence (taking responsibility for what you use). The framework is conceptual, so it carries over to ChatGPT, Gemini or Copilot even though the examples use Claude.
Two lessons are worth doing first: "Understanding privacy and data" and "Data analysis with AI". Both are most relevant for staff who work with program data.
It's on Anthropic Academy and Coursera. The Skilljar version ends with a certificate. The course suggests taking AI Fluency: Framework & Foundations first.
Google: AI for Nonprofits
Google launched this three-course path in July 2026. "Daily Wins with AI for Nonprofits" teaches a prompt structure of Persona, Task, Context, Format, which teams can reuse for any prompt. "Build Smarter Workflows" covers automation and working with unstructured data.
The path is centered on Gemini and Workspace. If your organization uses Google Workspace for Nonprofits, the Gemini app and NotebookLM are included (Google), and Google offers one-to-one training sessions once you activate it.
Google also offers AI Essentials, a broader course that isn't free by default: it costs $49 a month on Coursera after a 7-day trial, with financial aid available. Google's Introduction to Responsible AI takes about 15 minutes.
Microsoft Learn: AI Skills for nonprofits
This four-module path covers working with AI in Word, Excel and Copilot Chat, including the Writing Coach and Analyst agents. It suits organizations already on Microsoft 365. Most of it assumes a paid Microsoft 365 Copilot license, which costs $25.50 per user per month on nonprofit pricing. Copilot Chat itself is included with Microsoft 365.
Two changes since last year: Microsoft's nonprofit program is now called Microsoft Elevate, and the AI-900 certification was retired in June 2026. Its replacement requires Python, so non-technical staff who want a credential should look at AI Business Professional (AB-730) instead. Microsoft also publishes an AI governance framework and Copilot playbook for nonprofits.
OpenAI Academy
OpenAI Academy has courses with completion certificates, including AI Foundations and Agents and Workflows. Its nonprofits community runs regular events and has a prompt cookbook written for nonprofit tasks. The certificates mark course completion and aren't formal certifications.
Sector courses: NetHope and the Humanitarian Leadership Academy
NetHope's Fundamentals of AI for Nonprofits is written for senior and field-office leaders in programs, operations and finance. It takes about two hours and comes with a certificate. Its follow-up, Responsible Use of AI, covers deepfakes, copyright and policy in an hour.
The Humanitarian Leadership Academy's 30-minute course on ethical AI was co-written with humanitarian practitioners and comes with an offline PDF guide. NetHope's Fundamentals course and the Humanitarian Leadership Academy course are both in English only for now.
Tip
Pair a course with a policy. A policy sets shared standards for which tools staff can use and what data stays out, which matters while AI changes this quickly. Fast Forward's Nonprofit AI Policy Builder drafts a first version in about 20 minutes. Treat it as a starting point and revisit it as your team's use of AI grows.
Which AI training is right for your team?
Start from each person's role. The first course builds shared vocabulary, and the next step goes deeper into the tools or policies that role works with.
Suggested courses by role
Start with
NetHope: Fundamentals of AI for Nonprofits
Then
An AI policy, with Fast Forward's builder or Microsoft's governance framework
Start with
Anthropic: AI Fluency for Nonprofits
Then
Google's or Microsoft's nonprofit path, matched to your tools
Start with
Google: AI for Nonprofits
Then
OpenAI Academy's nonprofit prompt cookbook
Start with
Anthropic: AI Fluency for Nonprofits
Then
Anthropic's courses on MCP and agent skills
Give people a month and dedicated time to finish, so the whole team ends up with the same starting point.
What comes after the course
The courses on this list build the foundation: how to prompt, how to judge the output, and what data stays out. The natural next step is the Walk stage of the maturity ladder, where AI starts working from your organization's own material instead of general knowledge. Our follow-up guide, coming soon, covers it:
- Giving AI your organization's context with projects, instructions and reference files.
- Packaging what your team knows as skills, a plain text format that several AI tools can read.
- Improving skills in a feedback loop, the same way we build digital products for NGOs.
- Deciding when an agent is safe to use, from Claude and OpenAI dots to the open-source Hermes Agent.
Getting started this month
- Ask who is already using AI, and for what. The maturity ladder's getting-started steps explain why this comes first.
- Set data boundaries. Agree on what never goes into AI tools before anyone starts a course.
- Choose one course for each role. Use the flowchart above, set a deadline and allocate time.
At Hikaya, we help NGOs and nonprofits move from AI training to daily practice: choosing courses for each team, writing usage policies, and setting up the context and skills that make AI useful for your own work.
If your team is planning AI training and wants help choosing where to start, start a conversation with us, or see how we've done this for other organizations in our AI adoption work.
