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datawhalechinaAgentic AI course content and code
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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
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.
3 months ago
Inactive
open-thought