agentic-ai  by datawhalechina

Agentic AI course content and code

Created 4 months ago
377 stars

Top 75.8% on SourcePulse

GitHubView on GitHub
Project Summary

This project provides a Chinese translation and structured knowledge base for Andrew Ng's DeepLearning.AI Agentic AI course. It aims to help Chinese-speaking learners, particularly those interested in advanced LLM applications, tool integration, and building autonomous AI agents, overcome language barriers and gain a deeper understanding of the course material. The benefit is a more accessible and systematically organized learning resource for complex AI concepts.

How It Works

The project translates Andrew Ng's Agentic AI course content, offering precise Chinese-English bilingual translations. It structures the information into a four-layer knowledge graph: concept, principle, architecture, and code. Accompanying example code is deeply analyzed, detailing design choices, library usage, and extensibility, often integrating practical local tool functionalities like file I/O and API calls.

Quick Start & Requirements

This project serves as a curated educational resource and tutorial series based on external course materials. It does not appear to require a specific installation process for the project itself. Users are directed to the online video course for the primary learning content.

Highlighted Details

  • Provides accurate, fluent Chinese-English bilingual translations of the Agentic AI course.
  • Organizes course content into a structured four-layer knowledge graph (concept, principle, architecture, code).
  • Offers in-depth explanations of example code, including design rationale, library usage, and extensibility.
  • Integrates practical local tool usage scenarios (file I/O, API calls, data processing) into examples.

Maintenance & Community

The project is actively maintained with a clear plan, indicating all modules are complete. It encourages community contributions for translations, notes, and tutorials, fostering a shared learning ecosystem. Contact information and issue reporting are available for engagement.

Licensing & Compatibility

The project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. This license prohibits commercial use and requires any derivative works to be shared under the same terms.

Limitations & Caveats

The CC BY-NC-SA 4.0 license strictly prohibits commercial use, limiting adoption for businesses or projects requiring commercial integration. The project is a derivative work based on external course content, and its utility is tied to the availability and quality of the original DeepLearning.AI course.

Health Check
Last Commit

3 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
1
Star History
80 stars in the last 30 days

Explore Similar Projects

Feedback? Help us improve.