Anthropic Academy Courses

AI Fluency for nonprofits

This course empowers nonprofit professionals to develop AI fluency in order to increase organizational impact and efficiency while staying true to their mission and values.

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About this course

At Anthropic, we believe that empowering people with AI, and ensuring that AI makes safe contributions to society, requires engaging with a wide range of human perspectives and experiences. Nonprofit professionals are uniquely positioned to leverage AI for social good—but only if they can approach it intentionally, with resilience and clear purpose.

This course helps nonprofit staff—whether in fundraising, communications, program delivery, operations, or leadership—build practical AI collaboration skills through the 4D Framework (Delegation, Description, Discernment, and Diligence). In this course, we’ll explore how the framework applies to common non-profit tasks, and consider what it means to implement AI across a nonprofit organization.

This course is the result of a partnership between Anthropic and GivingTuesday, drawing on research with nonprofit professionals about their actual needs, concerns, and aspirations for AI adoption. 

The work builds on our AI Fluency: Framework & Foundations course, adapted specifically for the nonprofit context where limited resources, multiple stakeholder accountabilities, and mission-driven work create unique considerations for AI collaboration.

Recommended prerequisites

This course lightly covers the foundational AI Fluency concepts. However, for deeper understanding, participants should complete AI Fluency: Framework & Foundations before beginning this educator-focused curriculum. 

It is also recommended that learners have access to an AI chat tool for hands-on practice. Examples in this course will use Claude.ai, but any chatbot will work.

Curriculum

  • Introduction and AI Fluency framework
  • Welcome to AI Fluency for nonprofits
  • The 4D Framework
  • The Description-Discernment loop
  • Researching with AI
  • Writing with AI
  • The Delegation-Diligence loop
  • Understanding privacy and data
  • Data analysis with AI
  • Putting it all together
  • Workflow augmentation
  • Integration
  • Conclusion and certificate
  • Next steps
  • Course Quiz

About this course

At Anthropic, we believe that empowering people with AI, and ensuring that AI makes safe contributions to society, requires engaging with a wide range of human perspectives and experiences. Nonprofit professionals are uniquely positioned to leverage AI for social good—but only if they can approach it intentionally, with resilience and clear purpose.

This course helps nonprofit staff—whether in fundraising, communications, program delivery, operations, or leadership—build practical AI collaboration skills through the 4D Framework (Delegation, Description, Discernment, and Diligence). In this course, we’ll explore how the framework applies to common non-profit tasks, and consider what it means to implement AI across a nonprofit organization.

This course is the result of a partnership between Anthropic and GivingTuesday, drawing on research with nonprofit professionals about their actual needs, concerns, and aspirations for AI adoption. 

The work builds on our AI Fluency: Framework & Foundations course, adapted specifically for the nonprofit context where limited resources, multiple stakeholder accountabilities, and mission-driven work create unique considerations for AI collaboration.

Recommended prerequisites

This course lightly covers the foundational AI Fluency concepts. However, for deeper understanding, participants should complete AI Fluency: Framework & Foundations before beginning this educator-focused curriculum. 

It is also recommended that learners have access to an AI chat tool for hands-on practice. Examples in this course will use Claude.ai, but any chatbot will work.

Curriculum

  • Introduction and AI Fluency framework
  • Welcome to AI Fluency for nonprofits
  • The 4D Framework
  • The Description-Discernment loop
  • Researching with AI
  • Writing with AI
  • The Delegation-Diligence loop
  • Understanding privacy and data
  • Data analysis with AI
  • Putting it all together
  • Workflow augmentation
  • Integration
  • Conclusion and certificate
  • Next steps
  • Course Quiz