AI training
for nonprofits

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AI Training for Nonprofit Program Evaluation

Choose this route for learning about program evidence or evaluation data—not simply producing a routine report. Nine of 14 selected courses have nonprofit context; the rest are transferable analytical methods.

01Are you reviewing published studies, cleaning collected data or interpreting program measures?
02Check whether the course teaches method and source quality, not only a tool demonstration.
03Keep the distinction between observed outcomes and causal claims explicit.
A learning selection process, not a provider exercise.

Evidence review and program data are different inputs

Some curricula focus on systematic review of published literature; others cover importing, cleaning, normalizing and analyzing a dataset. The related guide separates those paths and asks what evidence you actually have.

Analysis does not prove impact by itself

A chart, trend or summary is not evidence that a program caused an outcome. Check measurement definitions, source quality and human interpretation before using generated analysis in evaluation decisions.

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14 offerings · showing 1–14 · provider A–Z

This is a curated selection; search all training for more options. Listing order is alphabetical, not a quality ranking.

Nonprofit focusedAVPN Academy

AI Essentials for Social Investors Accelerated Training

Four sessions move from social-investment AI basics to application review/due diligence/reporting using regional cases, then judge AI proposals for credibility/readiness/ethical alignment and red flags. Participants map workflow opportunities and make an action plan. Specific tool entitlements are not identified.

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Transferable skillsCentro Internacional de Estudios Interdisciplinarios

Análisis de Datos en la Investigación con Herramientas Digitales

  • Explore real data, import/clean/normalise it using Excel/Python/ChatGPT, prepare an analysis-ready database, analyse a real survey with statistics/SPSS or Python, then code interviews using ATLAS.ti and assisted ChatGPT. Communicate findings through dashboards and a final analysis report
  • Duplicated module5 entries are an editorial outline anomaly.
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Transferable skillsCentro Internacional de Estudios Interdisciplinarios

Revisión sistemática de literatura y tendencias de investigación con uso de herramientas de Inteligencia Artificial

  • Generate keywords/search equations, process articles with PRISMA in Excel, then obtain/process bibliometric data with Bibliometrix/R. Classify papers and synthesise results into theory
  • Identify gaps/hypotheses and journals. The public outline identifies tools and an ordered workflow but no named inspected practical assignment.
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Transferable skillsDatastat Training Institute

Thematic Analysis and Advanced Coding for Qualitative Data

Participants manually analyse focus groups, develop and revise a codebook, import qualitative data into QDA software and link excerpts to memos. They test coding agreement, triangulate survey evidence, then compare human and AI themes in a public-health case. Reporting ends with themes/matrices and a donor-evaluation write-up. AI is one component of the broader qualitative course.

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Transferable skillsDevimpact Institute

Artificial Intelligence in Monitoring, Evaluation and Learning

Use sample datasets and interviews to define indicators and instruments, check data quality, code themes with human validation, triangulate quantitative and qualitative evidence, then prepare learning reports and documentation protocols.

Learning cost

Online KES90000 Kenyan/USD 1000 non-Kenyan · Nairobi115000/1500 · tax unknown

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Nonprofit focusedDigital4Africa

Practical AI Training for Nonprofits

  • Use role-based prompts for concept notes, donor reports and board papers
  • Turn field notes/surveys into MEL insights
  • Redesign repeated workflows and apply data safeguards.
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Nonprofit focusedGeneva Centre of Humanitarian Studies

AI Ethics in Humanitarian Response

  • Assess humanitarian AI communication, prediction and needs-assessment cases
  • Evaluate bias, privacy, vendor accountability and risk mitigation.
Learning cost

CHF 1700 full · CHF 1360 MSF/ICRC · CHF 850 eligible LMIC national/local staff with required proof · 2026 complete course tuition

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Nonprofit focusedGeneva Institute of Humanitarian and Development Studies

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.

Learning cost

USD 99 standard · USD 59 verified current GIHDS students · complete short course

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Nonprofit focusedHUMCAP

AI for MEAL

  • Indicator coherence
  • Unbiased collection instruments and translation review
  • Dictionaries, coding and cleaning
  • Quantitative uncertainty and qualitative triangulation
  • Safeguarding escalation and learning briefs.
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Nonprofit focusedHUMCAP

AI for Quality Proposals

  • Opportunity and compliance matrix
  • Evidence review using humanitarian sources
  • Theory of change, logframe and risk
  • Narrative/workplan/budget checks
  • CHS, AAP, PSEA and do-no-harm
  • Final proposal validation.
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Nonprofit focusedNTEN

Use AI for smarter impact evaluation

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

Learning cost

$60 NTEN member · $120 nonmember · individual course registration · currency: check provider

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Decisions behind this task

Decision guide ↗

Review published evidence or analyze program data?

Choose a literature method for published studies and a data-analysis method for collected program evidence. Match prerequisites to the person doing the work.

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