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Teaching AI Fluency

Equips academic faculty and instructional designers to teach and assess AI fluency in instructor-led settings. Builds on the 4D AI Fluency Framework with strategies for assessment, assignment design, and discipline-specific application.

7 lessons4.5 hr1 quizCompletion badge
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What you’ll learnBy the end of this course, you’ll be able to
  • Select and adapt a linear, non-linear, focused, or loop-based approach to teaching the AI Fluency Framework for your students and context
  • Teach the Delegation-Diligence and Description-Discernment loops as connected strategic and tactical processes
  • Apply outcome, process, and reflection-based assessment strategies to evaluate the 4D competencies
  • Design authentic, iterative assignments that develop AI Fluency while keeping grading manageable
  • Analyze AI's impact on curriculum, pedagogy, and assessment in your discipline
  • Create discipline-specific applications of the 4Ds in collaboration with colleagues

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. Responsible AI development and engagement isn't something any single discipline or viewpoint can fully address. It demands collaborative approaches that span a wide range of technical, creative, business, scientific, and educational domains. That's why we partnered with educators who bring complementary expertise to create this course on AI collaboration for educators.

This course empowers faculty, instructional designers, and educational leaders to apply the 4D Framework to their own educational practice. Participants will learn to apply the 4D Framework to their own teaching practice, using AI as a thinking partner to enhance course design, create coherent learning materials, and develop authentic assessments while modeling responsible AI collaboration for their students.

This course is the result of a long partnership between Anthropic and professors Rick Dakan from Ringling College of Art and Design and Joseph Feller from University College Cork. It builds on their experiences in training fellow educators and teaching the AI Fluency Framework to their students, and on feedback and questions that arose from our earlier course: AI Fluency: Framework & Foundations This course answers the question: how can I apply this framework to my personal teaching practice?

The work was supported in part by the Higher Education Authority (Ireland) through the National Forum for the Enhancement of Teaching and Learning.

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 active teaching or curriculum development responsibilities as well as access to an AI chat tool for hands-on practice. Examples in this course will use Claude.ai, but any chatbot will work.

About this course

Completion badge

After finishing the course, you will have the opportunity to take a final assessment and earn a completion badge.

Inside the course

Introduction and approaches to teaching AI Fluency

3 lessons

Scaffolding student AI Fluency through the 4D Framework.

Assessing AI Fluency

2 lessons

Designing assessments and assignments that develop and measure student AI Fluency alongside disciplinary expertise.

AI's Impact on disciplinary content

2 lessons

Building institutional capacity for responsible and meaningful AI integration in pedagogy, assessment, and curricula across disciplines.