For leaders trying to separate durable AI skill from passing hype, that distinction matters. A curriculum built by the people who build the model tends to age better than one built by an outside observer guessing at how the technology works. Below are six entry points worth knowing, organized roughly from foundational to technical.
This is the right starting point for any executive, and it is the course the rest of the Academy builds on. It introduces the 4D framework, Delegation, Description, Discernment, and Diligence, as a discipline for collaborating with AI systems rather than simply prompting them. The course treats fluency as a form of judgment rather than a technical skill, which is precisely the framing a senior leader needs before delegating any consequential work to a model.
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Adapted from the foundational course for people who own outcomes rather than tasks, this version of AI Fluency is built around what Anthropic calls owning the “full arc from problem to shipped solution.” It is suited for operators, founders, and consultants whose value lies in judgment under ambiguity rather than execution of a defined process.
View the course.Claude 101 covers the core features most knowledge workers actually need: projects, artifacts, and the practical mechanics of using Claude for everyday work. It is short by design and intended as a baseline rather than a deep dive, which makes it a sensible course to assign broadly across a team before layering in role-specific training.
View the course.Cowork is Anthropic's desktop tool for non-developers who want to automate file and task management without writing code, and this course is the clearest introduction to it. It walks through the Cowork task loop, plugins and skills, and how to steer multi-step work responsibly, which is the part most new users underestimate. The course is built for productivity within the first week of use rather than theoretical mastery.
View the course.This short, introductory course explains how AI systems actually work, in plain terms, and where their limitations genuinely lie. For executives who need to evaluate vendor claims, set realistic expectations with their boards, or simply avoid embarrassing themselves in a strategy meeting, this is a high-value, low-time-commitment course.
View the course.For technical teams, this is the flagship deep dive: a comprehensive course covering the full spectrum of working with Anthropic's models through the Claude API, from authentication and request handling to tool use and agentic workflows. It is the course referenced most often by developers moving from chat-based Claude use to building production applications, and it pairs naturally with the Academy's separate courses on the Model Context Protocol for teams connecting Claude to internal systems.
View the course.None of these six courses requires a paid Claude subscription, and none requires more than an email address to enroll. That is a deliberate choice on Anthropic's part. A better-educated base of users and developers builds more durable applications on Claude, which benefits Anthropic commercially, and a workforce that understands both the capability and the limits of these systems is less likely to misuse them. For leaders building AI fluency inside their own organizations, that alignment of incentives is worth taking advantage of. The full catalog, organized by track, is available at
anthropic.skilljar.com, with the discovery hub at
anthropic.com/learn.