# anthropics/courses

Anthropic's educational courses

Repository: https://github.com/anthropics/courses
Canonical: https://ross.abutalabs.com/products/courses
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2025-11-13T20:40:51+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 52, release rhythm 35, longevity 58
- inputs: {"age_days": 825, "days_push": 293, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 22699, forks 2453 (observed 2026-08-28T04:11:33.928564+00:00)

## What it is
Anthropic's official educational courses covering the Claude API, prompt engineering, prompt evaluations, and tool use. Content is delivered as interactive Jupyter Notebook tutorials designed to be followed hands-on with an Anthropic API key.

## Use cases
- learn how to use the Claude API and SDK
- learn prompt engineering techniques step by step
- write production prompt evaluations
- implement tool use with Claude
- get started with building LLM applications on Anthropic
- learn to write complex real-world prompts

## When to choose
- you want official, hands-on Anthropic/Claude training material
- you prefer interactive Jupyter Notebook tutorials
- you are building applications with the Claude API and need prompting or tool-use skills

## When to avoid
- you need courses for LLM providers other than Anthropic
- you want a finished tool or library rather than educational content
- you need a formal certification or instructor-led course

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, sdk, llm-inference, rag
- domain: large-language-models, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: anthropic, claude, jupyter-notebooks, api-fundamentals, tool-use, prompt-evaluations, educational-courses, ai-agents

## Member repositories
- anthropics/courses (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:33.928564+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:56:56.507577+00:00, confidence not recorded.
  - readme: https://github.com/anthropics/courses (fetched 2026-08-28T04:11:33.928564+00:00, sha 398e7dd903ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.