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HUMCAP AI training

Compare humanitarian AI essentials with focused instruction for quality proposals, MEAL, and communication and engagement. Start from the work product: a proposal is a different learning target from program evidence or a stakeholder message.

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03Confirm with the provider
Different courses from one provider can have different scope and requirements.
Nonprofit focusedHUMCAP

AI Essentials

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

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