1. AI Fundamentals for Nonprofit Leaders Overview

Description: This introductory course demystifies AI for nonprofit executives and board members, covering core concepts like machine learning, generative AI, and predictive analytics without requiring technical expertise. Through real-world nonprofit case studies, participants explore how AI can enhance decision-making, efficiency, and impact while addressing common misconceptions and risks. Interactive modules include hands-on demos of free AI tools and group discussions on initial implementation steps.

Key Learning Outcomes: Understand AI basics and terminology; identify entry-level applications for your organization; develop a simple AI readiness assessment; recognize ethical red flags early.

Target Audience: Nonprofit CEOs, EDs, board members, and department heads new to AI.

Why It’s Popular: 60–70% of nonprofit staff still have low-to-moderate AI literacy. This is the gateway course almost everyone needs first.

2. Ethical & Responsible AI for Nonprofits Overview

Description: Focused on building a framework for safe AI use, this course dives into bias detection, data privacy, transparency, and accountability tailored to nonprofit contexts. Participants learn to create organizational AI policies, conduct ethical audits, and navigate regulatory landscapes.

Key Learning Outcomes: Draft an AI ethics policy; perform a basic bias audit; integrate responsible AI into daily operations; respond to funder requirements on ethics.

Target Audience: Compliance officers, program directors, and leaders responsible for governance.

Why It’s Popular: Funders (especially post-Humanity AI coalition) increasingly require documented ethical AI policies. Nonprofits want to avoid bias, privacy, and trust issues.

3. AI for Fundraising & Donor Engagement Overview

Description: This hands-on course equips fundraising teams with AI strategies to predict donor behavior, personalize appeals, and optimize campaigns. Modules cover predictive modeling, donor scoring, and automation tools, with exercises using platforms like DonorSearch AI or custom scripts. Participants explore integrating AI with CRMs and measuring ROI through A/B testing.

Key Learning Outcomes: Build donor prediction models; create personalized fundraising strategies; integrate AI into CRM workflows; analyze campaign performance with AI insights.

Target Audience: Development directors, major gifts officers, and fundraising coordinators.

Why It’s Popular: Fundraising teams report the highest ROI from AI (predictive modeling, personalized appeals, donor scoring). Often the #1 requested application area.

4. Generative AI for Nonprofit Marketing & Communications Overview

Description: Dive into generative AI tools like ChatGPT and Gemini for creating compelling content, from email campaigns to social media posts. The course emphasizes prompt engineering, brand voice protection, and workflow integration, with labs on A/B testing AI-generated materials. Ethical considerations, like avoiding misinformation, are woven throughout.

Key Learning Outcomes: Master prompt engineering for content creation; develop AI-assisted marketing workflows; protect brand integrity in AI outputs; measure engagement lifts from AI content.

Target Audience: Marketing managers, communications specialists, and content creators.

Why It’s Popular: 75%+ of marketing professionals already experiment with ChatGPT, Claude, Gemini. They want structured training on prompts, content workflows, and brand voice protection.

5. AI-Powered Data Analysis & Impact Reporting for Nonprofits Overview

Description: Learn to use AI for turning raw data into actionable insights, creating real-time dashboards, and generating impact reports. Tools like Google Data Studio with AI extensions or Tableau Prep are covered, with focus on nonprofit-specific metrics like donor lifetime value and program outcomes. Participants build a sample dashboard project.

Key Learning Outcomes: Analyze data with AI tools; create interactive impact dashboards; automate reporting processes; present data to funders effectively.

Target Audience: Data analysts, evaluation officers, and program managers

Why It’s Popular: Nonprofits want to move from static annual reports to real-time dashboards. Funders love seeing measurable impact, and AI makes this accessible even without a data scientist.

6. Imagination as a Platform for Engagement Overview

Description: This innovative course explores how AI bridges imagination and reality to boost nonprofit engagement. Participants learn to use virtual worlds, gaming elements, and bounty systems for creating immersive experiences—like online events where supporters "adopt" causes or earn rewards for tasks. Case studies include AI-enhanced virtual fundraisers and community-building platforms.

Key Learning Outcomes: Design AI-driven virtual engagement strategies; integrate gaming and bounties for affinity; build online task opportunities; measure engagement in imaginary spaces.

Target Audience: Community managers, digital strategists, and innovation leads.

Why It’s Popular: Even before augmented and virtual reality take a foothold of our daily experience, we have our imagination and many online tools to make our imaginary places become real. How does connecting people to your organization through virtual places, online events and online task opportunities for visitors create affinity and engaging and rewarding experiences? Let's explore the intersection of gaming, bounties and virtual worlds to imagine what could be imagined.

7. Building & Managing AI Chatbots for Donor & Constituent Support Overview

Description: Hands-on training to design, deploy, and manage AI chatbots for 24/7 support. Covers platforms like Dialogflow or ManyChat, with emphasis on customization for donor FAQs, crisis response, and volunteer coordination. Includes testing for accuracy and ethical handling of sensitive queries.

Key Learning Outcomes:  Build a basic chatbot; integrate with websites/CRMs; monitor performance and iterate; ensure privacy in interactions.

Target Audience: Support coordinators, digital officers, and frontline staff.

Why It’s Popular: Chatbots are one of the fastest-adopted AI tools in nonprofits (donor FAQs, crisis text lines, volunteer coordination).

8. Prompt Engineering Masterclass for Nonprofit Teams Overview

Description: Advanced techniques for crafting effective prompts to maximize AI tool outputs. Through nonprofit-specific scenarios, participants practice optimizing prompts for grant writing, content creation, and data queries. Includes best practices for tools like Claude or Gemini.

Key Learning Outcomes: Create advanced prompts; troubleshoot AI responses; apply techniques to daily workflows; collaborate on team prompt libraries.

Target Audience: All staff using generative AI, from beginners to advanced.

Why It’s Popular: Prompt engineering is the single most requested skill after basics. Everyone wants to get dramatically better results from existing tools.

9. AI for Grant Writing & Funding Research Overview

Description: Leverage AI to streamline grant prospecting, proposal drafting, and submission. Modules cover tools like Grantable for automation, with tips on maintaining authenticity and compliance. Participants draft a sample proposal using AI assistance.

Key Learning Outcomes: Use AI for funding research; generate proposal drafts; edit for voice and accuracy; track submission success.

Target Audience: Grant writers, development teams, and program officers.

Why It’s Popular: Grant writers are under intense pressure to produce more proposals faster. AI tools already save 40–60% of time for many teams.

10. AI Governance & Policy Creation for Nonprofit Organizations Overview

Description: Step-by-step guide to developing AI policies, including governance structures, risk assessments, and compliance frameworks. Draws on standards from NTEN and Humanity AI, with templates for nonprofits.

Key Learning Outcomes: Draft a custom AI policy; form a governance committee; conduct risk audits; align with funder expectations.

Target Audience: Boards, executives, and compliance leads.

Why It’s Popular: Only ~15–25% of nonprofits have formal AI policies in early 2026. Boards and funders are starting to ask for them.

11. AI for Program Design & Personalized Service Delivery Overview

Description: Explore AI for identifying needs, personalizing interventions, and scaling programs. Includes case studies and tools for predictive modeling, with focus on ethical applications in direct services.

Key Learning Outcomes: Design AI-enhanced programs; use data for personalization; monitor and adapt outcomes; ensure equity in delivery.

Target Audience: Program directors, service coordinators, and impact evaluators.

Why It’s Popular: Direct-service organizations want to use AI to identify needs, personalize interventions, and scale impact without adding headcount.

12. No-Code & Low-Code AI Tools for Non-Technical Nonprofit Staff Overview

Description: Practical training on user-friendly platforms like Zapier AI, Airtable AI, and Bubble for building custom AI workflows without coding. Hands-on projects automate tasks like donor follow-ups or event registrations.

Key Learning Outcomes: Build no-code AI automations; integrate tools with existing systems; troubleshoot common issues; scale solutions organization-wide.

Target Audience: Non-technical staff across departments.

Why It’s Popular: Most nonprofit staff are not developers. Tools like Zapier + AI, Make.com, Bubble + AI, Airtable AI, etc. are exploding in popularity.

13. Measuring & Demonstrating AI Impact & ROI in Nonprofits

Description: Learn to quantify AI's value through metrics like time saved, revenue gained, and engagement lifts. Includes dashboard tools and case studies for reporting to boards and funders.

Key Learning Outcomes: Define AI KPIs; track and analyze ROI; create impact reports; justify AI investments.

Target Audience: Executives, finance officers, and data leads.

Why It’s Popular: Leadership wants to justify AI spending to boards and funders. This course teaches how to track time saved, revenue gained, engagement lifted, etc.

14. Part 1: What Are We Doing?

Description: This collaborative, discussion-based course invites participants to share their real-world AI experiences in nonprofits, from successes to challenges. Facilitated sessions encourage peer learning, question-posing, and future-oriented brainstorming. Includes guest spotlights from AI adopters and interactive forums for ongoing dialogue.

Key Learning Outcomes: Document your AI initiatives; learn from peers' strategies; generate questions for community resolution; build a personal AI action plan.

Target Audience: All nonprofit staff implementing or exploring AI.

Why It’s Popular: This is your voice, sharing with each other about what you are doing with AI, hearing what others are doing and providing questions you hope will be answered by others now or in the future.