

Anthropic's official learning hub with free courses, tutorials, and AI fluency training for Claude.ai, Cowork, Code, and the API.

Anthropic's official learning hub with free courses, tutorials, and AI fluency training for Claude.ai, Cowork, Code, and the API.
Claude Academy is Anthropic's official learning hub, a free library of courses, tutorials, and use cases organized around two tracks: learning the Claude products themselves, and learning how to work with AI in general. The product track covers Claude.ai for thinking through problems and analyzing data in conversation, Claude Cowork for handing off whole tasks and getting polished deliverables back, Claude Code for building and debugging in the terminal, IDE, and browser, Claude Tag for bringing Claude into team channels, and Claude Platform for building on the API, Claude Console, and MCP. The fundamentals track is built on Anthropic's AI Fluency framework, which teaches collaboration with AI through four disciplines: Delegation, Description, Discernment, and Diligence. Content is mixed-format and time-labeled, ranging from seven-minute reference tutorials such as The 4 Properties of AI to multi-hour courses with lessons and quizzes, including a 13-lesson course on AI capabilities and limitations that covers next-token prediction, working memory, steerability, and context limits. Everything is browsable and searchable in one place, aimed equally at individuals exploring AI and teams rolling Claude out at work.

Anthropic's official learning hub with free courses, tutorials, and AI fluency training for Claude.ai, Cowork, Code, and the API.
Claude Academy works by combining Product Learning Tracks: Separate curricula for Claude.ai, Claude Cowork, Claude Code, Claude Tag, and Claude Platform so you learn the surface you actually use., AI Fluency Framework Course: A 14-lesson, 4-hour course with a quiz teaching the 4D framework — Delegation, Description, Discernment, and Diligence — for effective, ethical, and safe AI collaboration., Capabilities and Limitations Curriculum: A 13-lesson, 3.5-hour course that builds an accurate mental model of what large language models can and cannot do, covering next-token prediction, knowledge, working memory, steerability, and context limits., Quick Reference Tutorials: Short standalone tutorials such as a 7-minute overview of the 4 Properties of AI, for when you need an answer rather than a course., Time-Labeled Lesson Structure: Every resource is tagged as course or tutorial with lesson count, quiz count, and estimated duration, so you can plan learning around available time. to help users with Individual Onboarding: Getting productive with Claude.ai or Claude Code quickly instead of learning by trial and error., Team Enablement: Running a structured internal rollout of Claude with shared courses and use cases as the training material., AI Literacy Training: Teaching non-technical staff or students a vendor-neutral mental model of how large language models behave and where they fail., Prompting Skill Building: Practicing delegation and description techniques to get better results from AI on real work., Developer Ramp-Up: Learning the Claude API, Claude Console, and MCP before building Claude into a product..
Key features include Product Learning Tracks: Separate curricula for Claude.ai, Claude Cowork, Claude Code, Claude Tag, and Claude Platform so you learn the surface you actually use., AI Fluency Framework Course: A 14-lesson, 4-hour course with a quiz teaching the 4D framework — Delegation, Description, Discernment, and Diligence — for effective, ethical, and safe AI collaboration., Capabilities and Limitations Curriculum: A 13-lesson, 3.5-hour course that builds an accurate mental model of what large language models can and cannot do, covering next-token prediction, knowledge, working memory, steerability, and context limits., Quick Reference Tutorials: Short standalone tutorials such as a 7-minute overview of the 4 Properties of AI, for when you need an answer rather than a course., Time-Labeled Lesson Structure: Every resource is tagged as course or tutorial with lesson count, quiz count, and estimated duration, so you can plan learning around available time..
Claude Academy is useful for anyone interested in Individual Onboarding: Getting productive with Claude.ai or Claude Code quickly instead of learning by trial and error., Team Enablement: Running a structured internal rollout of Claude with shared courses and use cases as the training material., AI Literacy Training: Teaching non-technical staff or students a vendor-neutral mental model of how large language models behave and where they fail., Prompting Skill Building: Practicing delegation and description techniques to get better results from AI on real work., Developer Ramp-Up: Learning the Claude API, Claude Console, and MCP before building Claude into a product..
Claude Academy is free to use.
Visit https://academy.claude.com/ to sign up and explore Claude Academy.
Compare Claude Academy: vs Switchyard · vs Router by Ramp · vs Supernova · vs bitdrift