Certificate in Applied AI for Evaluation

A skills-based credential for the next era of AI-enabled evaluation

Overview

The Certificate in Applied AI for Evaluation (CAAIE) is for evaluators and learning professionals who want to build next-generation skills for our field by exploring where AI can genuinely strengthen evaluation work. It emphasizes practical workflows, transparent documentation, and responsible use. When used with care and intentionality, AI can help us work more efficiently, improve consistency and documentation, and elevate the quality of key work products like instruments, analysis workflows, and synthesis. The goal of this certificate is to provide evaluators with the opportunity to learn, experiment, and establish the guardrails they need to integrate AI responsibly, protect credibility and ethics, and lead confident, thoughtful adoption in our field.

Certificate Requirements

To earn the Applied AI in Evaluation Certificate, complete six courses total.

1) Start with an AI Core course

Complete one or both of the following courses:

If you complete both AI Core courses, both count toward the six-course total.

2) Complete the remaining courses

Complete additional courses until you reach six total, following these requirements:

Complete at least three courses from the AI Specialization list.
You may count up to two courses from the Evaluation Foundations for AI list.

That’s it: 6 total = AI Core (1 or 2) + at least 3 AI Specialization + up to 2 Evaluation Foundations for AI.

AI Specialization Courses

Choose at least three from the following:

Evaluation Foundations for AI

Choose up to two from the following:

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