Teaching AI Fluency

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Teaching AI Fluency

Coursera · Intermediate ·📐 ML Fundamentals ·1w ago
This course equips faculty, instructional designers, and educational leaders to teach AI fluency in an instructor-led setting. Participants will learn how to deliver the 4D Framework from AI Fluency: Framework & Foundations, design assessments and assignments that measure AI fluency, and integrate AI into discipline-specific curriculum topics. Built through a long-standing partnership between Anthropic and professors Rick Dakan (Ringling College of Art and Design) and Joseph Feller (University College Cork), this course draws on their firsthand experience training fellow educators and teaching the AI Fluency Framework to students. It directly addresses two questions educators face today: how can I bring the AI Fluency Framework to my students, and how can I weave AI fluency into my discipline? By the end of this course, participants will have practical teaching strategies, ready-to-adapt materials, and the confidence to lead AI fluency instruction across a range of academic contexts. Recommended prerequisites: Completion of AI Fluency: Framework & Foundations is strongly recommended. Learners should have active teaching or curriculum development responsibilities and access to an AI chat tool for hands-on practice. Examples use Claude.ai, but any chatbot will work.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The Boring Layers AI Still Cannot Fake
AI models still struggle with infrastructure, evaluation, and operations, making these areas crucial for production AI success
Medium · Machine Learning
Machine Learning: A fun beginner’s guide to how it works, types and real-world applications
Learn the basics of machine learning, its types, and real-world applications in this beginner's guide
Medium · Machine Learning
Deep Learning (Part-03): Basics of the Neural Network Training Process
Learn the basics of the neural network training process in deep learning, including data preparation, model initialization, and optimization techniques.
Medium · LLM
Deep Learning (Part-03): Basics of the Neural Network Training Process
Learn the basics of neural network training in deep learning, including the general process and key concepts
Medium · ChatGPT
Up next
Full-Stack AI Development Roadmap | Learn How To Build, Deploy And Scale | #Shorts | #Simplilearn
Simplilearn
Watch →