AI courses with nonprofit-sector context — page 3

Aplicações da IA para OSCs

• Data management, multiple AI tools, first steps, information validation and ethical implementation
• Tool demonstrations.

Introdução à IA no campo social

• Fundamentals, social-sector adoption and ethics: bias, privacy, transparency, exclusion
• Videos and assessments.

Ferramentas de Inteligência Artificial e aplicação prática no terceiro setor

• Text and long-document work, grant applications, agents/Gems, presentations/images/video, ethics/RGPD
• Practical exploration/demos.

Taller IA y uso avanzado Chat GPT

Prompting, web research, analysis, canvas, automation, images, projects/customGPTs using real OSC cases.

IA con Propósito: Guía Práctica para ONG

Six modules: maturity diagnosis, concepts, five ethical principles/EU Act, proposal/communication/design/translation tools and five-step implementation plan.

ChatGPT: tu nuevo aliado en comunicación y estrategia digital

• Three recorded lessons what/how/deep on nonprofit communication, fundraising/community practice
• Creativity quiz label.

IA na Prática: Como Dados bem Estruturados fazem a Diferença

• Structured data, synthetic versus realistic data, context and examples for nonprofit data interpretation
• Webinar/support quizzes.

Inteligência Artificial para Organizações Não Governamentais

• Copilot prompts for socioenvironmental project planning, theory of change, monitoring and evaluation
• Examples and final assessment.

AI Fundraising intro fondsansøgning med AI

Discuss prior AI use, learn text/image tools and administration, write a credible grant application from scratch in a workshop, check funder expectations and plan completion. The five-stage fundraising process supplies needs, strategy, participation, application and delivery context.

Generative KI Überblick für den Einsatz in gemeinnützigen Organisationen

Use NGO examples of donation letters, knowledge access, donor analysis and reporting, then define own jobs-to-be-done and prioritize implementation by economics, feasibility and compliance, ending with concrete next actions.

AI for Fundraisers: Learn How to Build Your Own AI Assistants with Claude, ChatGPT or Copilot to Supercharge Your Fundraising

• Use context and meta-prompting to build reusable assistants
• Compare supporter feedback across donor-value segments, turn themes into fundraising stories, plan campaign tests and revise an appeal for dignity and tone.

AI Governance for Fundraisers: Ethical, Safe and Effective Use of AI

• Assess embedded, generative and predictive AI use cases with a go/no-go risk model
• Define governance roles, donor-data boundaries, policy needs and post-deployment monitoring
• Form an implementation plan.

AI in Action: Lessons from Australia's Leading Charities

Compare leadership adoption, Cancer Council Victoria implementation, Australian Red Cross governance/privacy and Smith Family supporter-care cases.

AI Training for Nonprofits

• Organizational AI context and governance
• Build reusable tools/workflows
• Peer sharing and technical troubleshooting.

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.

Build Smarter Workflows with AI for Nonprofits

• Ground AI responses in workplace files to turn meeting audio and reports into project briefs and compliance checklists
• Use the ACT Framework to draft a personal AI-use policy.

Daily Wins with AI for Nonprofits

• Apply Persona, Task, Context and Format prompting
• Select suitable augmentation tasks and synthesize information from daily administrative work.

Data Analysis with AI for Nonprofits

• Clean and standardize scanned sign-in records and donor spreadsheets with multimodal AI
• Prompt sentiment analysis, what-if impact simulations and stakeholder visualizations.

Optimize Creativity and Fundraising with AI for Nonprofits

• Create custom AI helpers for donor outreach and brand-voice editing
• Use workplace-file grounding for fundraising insights and quality control of generated media.

Putting AI to Work in Program Evaluation

• Synthesize program documents into theories of change, indicators and data-gap plans
• Use templates to collect/analyze information and communicate findings.

AI Training for Charities

• Practice donor email, grant and social-content prompts
• Leave with two priority tasks and an action plan.

Practical AI Skills for NGO and Humanitarian Professionals

• Develop prompts for email, meeting summaries, reports, presentations and workplans
• Explore programming/operations scenarios and produce an organizational adoption action plan with privacy safeguards.

Community Crisis Intelligence

Four introductory modules explain collective/AI techniques with examples, humanitarian situational-awareness/resource/monitoring applications, AI risk mitigation and participatory responsible implementation. Public body is an introduction, not a hands-on modeling lab.

Ethical AI Use and Decision-making in Humanitarian Work

HLA and Data Friendly Space announce a free, approximately thirty-minute interactive module co-created with practitioners, using humanitarian ethical decisions and reflection. HLA and Data Friendly Space co-created the humanitarian module. Its companion guide checks identifying data and processing arrangements before input, examines excluded communities, triangulates AI outputs with field and community evidence, records disagreements and escalates aggregation risks. The guide explicitly accompanies Introduction to Ethical AI Decision-Making in Humanitarian Work.

AI Essentials

• Four stages: humanitarian AI ecosystem
• Task/tool selection
• Context and iterative prompts
• Confidentiality, bias, copyright and output checking.

AI for Communication and Engagement

• Evidence-led impact
• Convert proposals, monitoring and field notes into donor plans, fact sheets, cases and summaries
• Visual tool selection
• Consent, dignity, copyright and approval.

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.

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.

AI-Powered Donor Grant Reporting and Compliance Automation

Generate narrative/financial donor report, quality-check evidence, track compliance deadlines and monitor performance.

Natural Language Processing for Community Feedback and WASH Survey Data

Clean/tokenize multilingual text, identify sentiment/themes, categorize complaints and communicate programme insights.