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AI for Nonprofit Organizations

Curriculum

  • 8 Sections
  • 26 Lessons
  • Lifetime
Expand all sectionsCollapse all sections
  • Intro: AI challenges, definitions and myths
    3
    • 1.1
      Benefits and challenges of AI for nonprofits
    • 1.2
      AI definitions (glossary)
    • 1.3
      AI myths (common misconceptions)
  • Best uses of AI in nonprofit organizations
    3
    • 2.1
      Ways to find great AI opportunities for your organization
    • 2.2
      Most common AI use cases in nonprofit organizations
    • 2.3
      Useful prompts & resources
  • Main risks and how to minimize them
    2
    • 3.1
      Key AI risks for nonprofits & mitigation strategies
    • 3.2
      Useful prompts & resources
  • Roadmap: Steps to implement AI in your organization
    7
    • 4.1
      Step 1: Assemble your AI Team
    • 4.2
      Step 2: Identify high-impact AI opportunities
    • 4.3
      Step 3: Select the right AI tools (vendor selection)
    • 4.4
      Step 4: Launch pilots and iterate
    • 4.5
      Step 5: Develop your AI Policy
    • 4.6
      Step 6: Build your AI Knowledge Base (the “AI Library”)
    • 4.7
      Template: AI Roadmap
  • BONUS 1: “AI Policy” template
    1
    • 5.1
      “AI Policy” template
  • BONUS 2: Prompt engineering guide
    5
    • 6.1
      Prompt engineering for nonprofits
    • 6.2
      Prompt engineering techniques
    • 6.3
      Context engineering
    • 6.4
      Other prompt-related advice
    • 6.5
      The future of AI & prompt engineering
  • BONUS 3: Quick-wins to multiply results
    1
    • 7.1
      18 quick-wins to multiply results
  • BONUS 4: Checklists for AI implementation
    4
    • 8.1
      AI Readiness & Strategy Checklist
    • 8.2
      AI Ethics & Risk Assessment
    • 8.3
      AI Tool Evaluation & Setup
    • 8.4
      Steps for new AI Projects & Pilots
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