ChatGPT-Prompt-Engineering-for-Developers-in-Chinese and chatgpt-prompt-engineering-for-developers

These are **competitors** — both provide Chinese and English subtitles for the same Andrew Ng "ChatGPT Prompt Engineering for Developers" course, offering functionally identical learning resources with different repository implementations.

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Language: Jupyter Notebook
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Stars: 294
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Language: Jupyter Notebook
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About ChatGPT-Prompt-Engineering-for-Developers-in-Chinese

GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese

《面向开发者的 ChatGPT 提示词工程》非官方版中英双语字幕 Unofficial subtitles of "ChatGPT Prompt Engineering for Developers"

Repository provides bilingual Chinese-English subtitle files organized by type (dual-language, English-only, Chinese-only) alongside Jupyter notebooks from the course, enabling learners to follow along with both video and executable code examples. The project covers nine modules on prompt engineering fundamentals, API integration, and practical applications—including sentiment classification, text summarization, translation, and chatbot development—sourced from DeepLearning.AI's official course taught by Andrew Ng and OpenAI's Iza Fulford. Community contributions improve subtitle quality through pull requests, making enterprise-grade prompt engineering techniques accessible to non-English speakers.

About chatgpt-prompt-engineering-for-developers

Kevin-free/chatgpt-prompt-engineering-for-developers

吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版

Contains executable Jupyter notebooks and mind maps demonstrating practical LLM applications using OpenAI's API—including prompt principles, text summarization, sentiment classification, translation, and content generation. Organized with parallel English and Chinese versions to support both international and domestic learners. Includes working code examples that directly implement the course's techniques for building LLM-powered applications.

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