# DeepLearning.ai-Courses-ClaudeCode **Repository Path**: objdump/DeepLearning.ai-Courses-ClaudeCode ## Basic Information - **Project Name**: DeepLearning.ai-Courses-ClaudeCode - **Description**: Vibe Genius 团队整理的 DeepLearning.AI 官方课程 'Claude Code: A Highly Agentic Coding Assistant' 学习笔记,由 Andrew Ng 和 Anthropic 的 Elie Schoppik 主讲 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-12-30 - **Last Updated**: 2025-12-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Claude Code: A Highly Agentic Coding Assistant - Course Materials [![DeepLearning.AI](https://img.shields.io/badge/DeepLearning.AI-Course-blue)](https://www.deeplearning.ai/) [![Claude Code](https://img.shields.io/badge/Claude-Code-purple)](https://claude.ai/code) 学习笔记整理自 DeepLearning.AI 官方课程 "Claude Code: A Highly Agentic Coding Assistant",由 **Andrew Ng** 和 Anthropic 的 **Elie Schoppik** 主讲。 ## 📚 学习来源 - **原始课程**: [Claude Code: A Highly Agentic Coding Assistant](https://www.deeplearning.ai/short-courses/claude-code-a-highly-agentic-coding-assistant) - **课程平台**: DeepLearning.AI Short Courses - **主讲人**: Andrew Ng (吴恩达) & Elie Schoppik (Anthropic) - **内容性质**: 个人学习笔记整理与分享 ## 🎯 What You'll Learn Master Claude Code, Anthropic's powerful AI coding assistant, through hands-on lessons covering: - **Claude Code Architecture** - Understand how Claude Code works under the hood - **Feature Development** - Build features efficiently with AI assistance - **Testing & Debugging** - Automate testing and resolve errors intelligently - **Advanced Workflows** - GitHub integration, parallel development, and MCP servers - **Real-World Projects** - RAG chatbots, e-commerce dashboards, and Figma-to-web apps ## 📚 Course Structure ``` courses/ ├── 00. Overview.md # Learning objectives and course roadmap ├── 01. Introduction.md # Getting started with Claude Code ├── 02. What is Claude Code?.md # Architecture and capabilities ├── 03. Course Notes.md # Resources and references ├── 04. Setup & Codebase Understanding.md ├── 05. Adding Features.md ├── 06. Testing, Error Debugging and Code Refactoring.md ├── 07. Adding Multiple Features Simultaneously.md ├── 08. Exploring Github Integration & Hooks.md ├── 09. Refactoring a Jupyter Notebook & Creating a Dashboard.md ├── 10. Creating Web App based on a Figma Mockup.md ├── 11. Conclusion.md └── 12. Prompts & Summaries of Lessons.md ``` ## 🚀 Key Projects ### 1. RAG Chatbot Build a full-stack Retrieval-Augmented Generation chatbot with: - FastAPI backend - React frontend - Vector database integration - Real-time streaming responses ### 2. E-commerce Dashboard Transform Jupyter notebook analytics into an interactive web dashboard: - Data visualization - Performance metrics - Export functionality - Responsive design ### 3. Figma to Web App Convert UI mockups into functional applications: - Playwright integration - Automatic component generation - Responsive implementation - Production-ready code ## 🛠️ Prerequisites - Basic Python and Git knowledge - Interest in AI-assisted development - No prior Claude Code experience required ## 📖 How to Use This Repository 1. **Start with the Overview** - Read `courses/00. Overview.md` for learning objectives 2. **Follow Sequentially** - Lessons build upon each other 3. **Practice Along** - Apply concepts in your own projects 4. **Reference Commands** - Use `courses/12. Prompts & Summaries of Lessons.md` for quick lookup ## 🌏 Language Support - **English** - Primary course content - **中文** - Chinese translations available (see `吴恩达 x Anthropic:Claude Code 终极教程 01.md`) ## 💡 Best Practices Covered - Effective prompting strategies - Project structure understanding - Parallel feature development - Automated testing workflows - GitHub integration patterns - MCP server extensions ## ⚖️ 版权声明 - 原始课程内容版权归 DeepLearning.AI 所有 - 本仓库为个人学习笔记整理,仅供学习交流使用 - 如需官方课程内容,请访问 [DeepLearning.AI 课程页面](https://www.deeplearning.ai/short-courses/claude-code-a-highly-agentic-coding-assistant) ## 🤝 Contributing This is a reference repository for course materials. For course feedback or questions, please contact DeepLearning.AI directly. --- **Note**: This repository contains course transcripts and notes only. For hands-on practice, install [Claude Code](https://claude.ai/code) and follow along with the lessons.