# AlibabaCloudDocs/aliyun_acp_learning

Repository: https://github.com/AlibabaCloudDocs/aliyun_acp_learning
Canonical: https://ross.abutalabs.com/products/aliyun_acp_learning
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-08-10T07:38:45+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 97, release rhythm 35, longevity 49
- inputs: {"age_days": 689, "days_push": 23, "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 1131, forks 264 (observed 2026-08-28T04:03:42.516810+00:00)

## What it is
Alibaba Cloud's ACP (Advanced Cloud Professional) certification course for large language model engineering, delivered as Jupyter Notebook tutorials. It covers prompt engineering, RAG, fine-tuning/distillation, LangChain and LlamaIndex development, evaluation, and multi-agent multimodal applications built around a complete Q&A chatbot project.

## Use cases
- learn to build LLM applications with Alibaba Cloud Bailian
- prepare for the Alibaba Cloud ACP large model certification exam
- learn RAG and retrieval-augmented generation techniques
- study prompt engineering and context engineering
- build a Q&A chatbot with LangChain or LlamaIndex
- learn multi-agent workflows for text, image, and video generation
- understand LLM evaluation and safety compliance

## When to choose
- you want a structured, hands-on curriculum for LLM application development on Alibaba Cloud
- you are preparing for Alibaba Cloud's ACP or ACA large model certification
- you learn best from runnable Jupyter Notebook examples in Chinese or English

## When to avoid
- you need production-ready software rather than course material
- you want a vendor-neutral course not tied to Alibaba Cloud services
- you have no programming background and need absolute beginner content (the ACA course fits better)

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, rag, prompt-engineering, agent-framework, llm-training, chatbot
- domain: large-language-models, artificial-intelligence, tutorials, education
- platform: python, cross-platform
- tags: alibaba-cloud, certification-course, jupyter-notebooks, qwen, langchain, llamaindex, fine-tuning, context-engineering, multi-agent, chinese, retrieval-augmented-generation, ai-agents

## Member repositories
- AlibabaCloudDocs/aliyun_acp_learning (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.516810+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 2026-08-30T06:38:00.163810+00:00, confidence not recorded.
  - readme: https://github.com/AlibabaCloudDocs/aliyun_acp_learning (fetched 2026-08-28T04:03:42.516810+00:00, sha b9f248e488f7)
- Data as of 2026-08-30T08:39:29.467469+00:00.