Developed by Anthropic, this course empowers you to build lasting, real-world AI skills by teaching you how to collaborate with language models like Claude using a clear, ethical and practical framework. (Source: Image by RR)

Explore the 4D Framework: Delegation, Description, Discernment, and Diligence

The AI Fluency: Framework & Foundations course is designed to help learners build practical and ethical collaboration skills with AI, moving beyond surface-level tips to develop a sustainable framework for engaging with AI systems. In under four hours, participants will explore key concepts through interactive lessons, videos, and exercises, beginning with an overview of the course goals, structure, and learning expectations. Learners will be guided to assess whether the course meets their personal or professional needs and to reflect on their own experiences with AI so far.

Central to the course is the concept of “AI Fluency,” which refers to the ability to collaborate with AI effectively, efficiently, ethically and safely. The course, as reported in anthropic.com, introduces the “4D” framework—Delegation, Description, Discernment, and Diligence—as the core competencies essential for meaningful AI engagement. Rather than focusing on technical mechanics alone, the course emphasizes the mindset shift needed to thoughtfully and responsibly use AI in real-world scenarios, from work to education and beyond.

Participants will be encouraged to apply what they learn through hands-on exercises with AI tools like Claude (or other language models), with clear instructions and no paid subscriptions required. These practical sessions are designed to help learners build confidence and reinforce key principles across different AI platforms. Additionally, a vocabulary guide is provided for accessible reference to technical terms throughout the course.

By the end of the course, learners will have developed a personalized framework for interacting with AI, gained collaborative skills applicable across sectors, and earned a certificate of completion after a final assessment. Future lessons will expand on the relevance of AI fluency in modern society and introduce models of human-AI interaction—namely automation, augmentation, and agency—to deepen learners’ understanding of the evolving AI landscape.

read more at anthropic.com