In this module, you'll learn to engage with AI effectively in the day-to-day work of running a nonprofit. You'll practice the Description-Discernment loop on two of the most common AI use cases — researching topics relevant to your mission, and writing communications like grant proposals — building skill in providing rich context, iterating on prompts, and critically evaluating AI output for accuracy, voice, and alignment with your organization's values. By the end, you'll have a repeatable approach for collaborative back-and-forth with AI on real nonprofit tasks.

In this module, you'll learn to make responsible higher-level decisions about when and how to bring AI into your work. You'll start with privacy and data — what actually happens to information you share with AI, how to evaluate platforms by their data-handling policies, and how to protect sensitive donor, beneficiary, or program data. You'll then apply the Delegation-Diligence loop to data analysis, learning how to validate AI's analytical capabilities against work you already understand so you can build confidence before trusting AI with new analyses.

In this module, you'll combine all four competencies into practical, organization-level applications. You'll learn to design a repeatable AI-augmented workflow — categorizing tasks by what AI should handle versus what needs human judgment, describing the system precisely, and testing iteratively with real examples. You'll then learn how to integrate AI across your organization in ways that strengthen human capacity rather than replace it, including how to address concerns about AI dependency, preserve human connection, and create an organizational AI policy that reflects your mission and values.

In this module, you'll consolidate the full 4D Framework and chart how you'll keep building AI Fluency after the course. You'll see how Delegation, Description, Discernment, and Diligence work as a loop rather than a checklist, and you'll plan a real task from your nonprofit work — a grant proposal, donor report, or program data analysis — to put into practice this week. You'll also be pointed to blueprints and resources for continued learning, and shown where to collect your certificate of completion.