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AI Economics5 min read

Anthropic Just Made AI Education Free - Here's What Leaders Should Take

A curated walkthrough of all 15 Anthropic Academy courses, grouped by audience with editorial commentary on which ones matter and why.

By Richard Ewing·
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Navigating the AI Curriculum

Anthropic's commitment to open education is a structural shift, but with 15 dense technical courses, executive and engineering leaders risk getting bogged down in tutorials not meant for their persona.

For the Executive Suite

If you are controlling the budget, skip the developer-centric prompt engineering basic courses. You need to focus entirely on the architectural and safety modules. Understanding how Constitutional AI governs drift and how tiered access models dictate pricing is critical for accurately modeling your API burn rate.

For the Architects (The "Execution Layer" Builders)

Ignore the chatbot tutorials; your focus must be on Tool Use and Function Calling. The only way to build deterministic enterprise software using probabilistic models is by forcing the models to output strictly validated JSON schemas. The courses on function calling are mandatory listening for anyone building what we call an Execution Layer - that firm barrier between AI intent and system action.


Integrate these learnings with the Agentic Governance Curriculum Track.

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Richard Ewing

The AI Economist - Quantifying engineering economics for technology leaders, PE firms, and boards.

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Richard Ewing - AI Economist & Capital Auditor