Self-Paced AI Training for Nonprofits

AI-Powered Management for NGOs

• Apply low-cost generative tools to reporting, analysis, content and proposal support
• Assess readiness, draft responsible-use guidelines and design a 90-day pilot.

AI Fluency for Nonprofits

Use Delegation, Description, Discernment and Diligence for iterative grant research/writing, voice and accuracy checks, sensitive donor/beneficiary data, analytical validation and repeatable workflows.

AI Skills for Nonprofit Leaders

Seven self-paced modules support strategic decisions, board/funder/team conversations and AI governance.

AI Skills for Nonprofit Practitioners

Seven self-paced modules use nonprofit scenarios, guided practice and human judgment to address privacy, accessibility, trust and output evaluation.

AI in Humanitarian Action and Development

Select tools, build contextual prompts, critique and refine responses, verify evidence and apply human judgment to needs assessments, program design, donor mapping, proposals, MEAL and reporting.

AI Policy and Governance

• Use impact-based assessment to define principles, accountable roles, guardrails, oversight and monitoring
• Reflect on real nonprofit scenarios.

AI readiness and adoption

• Assess five readiness dimensions
• Sequence foundational, policy, integration and sector-leadership adoption phases with ambassadors and feedback.

Bias mitigation and ethical AI leadership

Use inclusive-assessment and FATE principles, design thinking, case studies and a responsible-AI action plan to identify and mitigate bias.

Build and fund AI

• Apply a five-step build-or-buy, design, deploy and maintain framework
• Examine Quill.org and E4Youth examples and lifecycle funding, evaluation and sunsetting.

Change management and AI

ADKAR resistance diagnosis, inclusive leadership/trust, project/change coordination, ethics and innovation lead to an applied simulation/reflection. Public page exposes framework sequence but not the simulation’s scenario or completed staff artifact.

Grant writing in the age of AI

Research credible funders, cross-check sources, review RFP criteria, build scoring matrices and proposal checklists, and draft with funder-specific language and human review.

Human-centered and responsible generative AI

Reflect on workflows and values, select tools, examine responsible prompting demonstrations and create an interim acceptable-use policy.

Intro to the AI framework for an equitable world

• Apply an equitable-AI framework to inputs, outcomes and accountability across individual, organizational and system impact
• Design interventions across development and deployment using a John Jay College case.

Introduction to responsible AI

• Apply an AI risk framework to recruitment, donor outreach and program content
• Try self-paced social-media and grant-writing activities.

Legal considerations with AI

• Assess privacy, confidentiality and security risks in nonprofit use cases
• Examine vendor contracts and construct a mission-aligned governance roadmap.

Mitigate bias in AI

• Recognize bias
• Use counter-stereotypical examples and bias-aware prompting
• Plan ongoing audits through hands-on exploration.

Practical AI for philanthropy professionals

• Watch grantee-data analysis and simple custom-GPT demonstrations
• Use data, context and guardrails to guide policy and philanthropic work.

Streamline grants management with AI

• Work through four grant-lifecycle cases covering strategy, design, due diligence, evaluation and compliance
• Refine prompts and review outputs.

Use AI for smarter impact evaluation

Convert goals into evaluation frameworks, standardize inputs, identify themes and trends, and design a safer evaluation assistant.

Work smarter with AI

• Distinguish healthy from unhealthy cognitive offloading
• Create intentional-use guidelines and prompt for skill-building and analysis.

AI Literacy Starter Course

Remove sensitive data, set task/context, request facts and assumptions, verify sources and retain human review for proposals, notes, reports and action memos.