💎 Key Takeaways
| Course Name | Teaching AI Fluency |
|---|---|
| Platform | Claude Academy (Anthropic) |
| Price | Free |
| Duration | 4.5 hours, self-paced |
| Level | Intermediate |
| Prerequisites | AI Fluency: Framework & Foundations (recommended); active teaching or curriculum development responsibilities; access to an AI chat tool |
| Skills | AI Fluency Framework instruction, assessment design, assignment design, curriculum integration, discipline-specific AI application, pedagogical AI modeling, iterative course design |
About
This course prepares academic faculty, instructional designers, and educational leaders to teach and assess AI fluency within their own courses and institutions. Built around the 4D AI Fluency Framework, it covers multiple approaches to scaffolding student learning, designing authentic assessments, and analyzing AI’s impact on disciplinary content and pedagogy. By the end, you can select a teaching approach suited to your context, build coherent AI-integrated assignments, and help colleagues apply the framework across disciplines.
The course was developed through a partnership between Anthropic and professors Rick Dakan (Ringling College of Art and Design) and Joseph Feller (University College Cork), drawing on their direct experience training educators and teaching the framework to students. It was supported in part by Ireland’s Higher Education Authority through the National Forum for the Enhancement of Teaching and Learning. Examples use Claude.ai, though any AI chat tool works for the hands-on practice components.
Who’s Teaching
Rick Dakan — AI Coordinator and professor at Ringling College of Art and Design; oversees the college’s undergraduate and professional AI certificates.
Joseph Feller — Professor of Information Systems and Digital Transformation at University College Cork; researcher in AI-human hybrid creativity and learning, with publications across major IS journals.
Maggie Vo — Founder and head of Anthropic’s education team; background in applied research, game design, organizational behavior, and AI strategy consulting.
Zoe Ludwig — Leads Claude apps education at Anthropic; prior experience in classroom instruction, curriculum design, and instructor-led training; founded the customer education team at Notion.
What’s Covered
- Linear, non-linear, focused, and loop-based approaches to structuring the 4D Framework for different teaching contexts
- Teaching the Delegation-Diligence and Description-Discernment loops as integrated strategic and tactical processes
- Outcome-based, process-based, and reflection-based assessment strategies for the 4D competencies
- Designing iterative, authentic assignments that build AI fluency without inflating grading workload
- Analyzing AI’s effect on curriculum, pedagogy, and assessment within specific disciplines
- Building institutional capacity for responsible AI integration across departments
- Creating discipline-specific applications of the 4Ds with colleagues
Skills You’ll Develop
- Adapting the 4D AI Fluency Framework to multiple instructional formats and student populations
- Designing and evaluating assessments that measure AI fluency alongside disciplinary learning outcomes
- Creating iterative assignments that develop AI competencies over time
- Using AI as a thinking partner for course design and material development
- Modeling responsible AI collaboration practices for students
- Leading discipline-level conversations about AI’s curricular impact
Level
Intermediate. Best suited for faculty and instructional designers who already have some exposure to AI tools and are actively involved in teaching or curriculum development. Beginners can participate but will get more from the course after completing the prerequisite, AI Fluency: Framework & Foundations.
