# datawhalechina/agentic-ai

本项目围绕吴恩达老师在DeepLearning.AI出品的Agentic-ai系列课程，为学习者打造中文翻译与知识整理教程。项目提供课程内容翻译、知识点梳理和示例代码解读等内容，欢迎大家Star!

Repository: https://github.com/datawhalechina/agentic-ai
Canonical: https://ross.abutalabs.com/products/agentic-ai
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-06-01T10:21:29+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 85, release rhythm 35, longevity 22
- inputs: {"age_days": 316, "days_push": 93, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1215, forks 207 (observed 2026-08-28T04:04:01.162320+00:00)

## What it is
A Chinese-language tutorial project translating and organizing Andrew Ng's Agentic AI course series from DeepLearning.AI. It provides bilingual translations, structured knowledge summaries, and annotated example code in Jupyter Notebooks covering agentic workflows, reflection, and tool use.

## Use cases
- learn agentic AI in Chinese
- understand Andrew Ng's agentic AI course
- study reflection and tool use design patterns for LLM agents
- find annotated example code for building AI agents
- learn how to integrate LLMs with local tools
- get started building autonomous AI agents

## When to choose
- you are a Chinese speaker wanting structured notes and translations of the Agentic AI course
- you want concept-to-code explanations of agent design patterns
- you prefer free, community-maintained learning materials

## When to avoid
- you need production agent framework code rather than educational material
- you want the original English course content
- you need a maintained software library with an API

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, prompt-engineering, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials
- platform: python, cross-platform
- tags: agentic-ai, andrew-ng, course-translation, chinese, deeplearning-ai, jupyter-notebooks, datawhale, ai-agents

## Member repositories
- datawhalechina/agentic-ai (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.162320+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 2026-08-30T06:17:15.640572+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/agentic-ai (fetched 2026-08-28T04:04:01.162320+00:00, sha b795d038fd67)
- Data as of 2026-08-30T08:39:29.467469+00:00.