https://github.com/markshawn2020/deeplearning.ai-courses-claudecode
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
https://github.com/markshawn2020/deeplearning.ai-courses-claudecode
ai-coding-assistant ai-programming andrew-ng anthropic claude-code course-notes deeplearning-ai fastapi figma-to-code jupyter-notebook learning-notes react
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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
- Host: GitHub
- URL: https://github.com/markshawn2020/deeplearning.ai-courses-claudecode
- Owner: MarkShawn2020
- Created: 2025-08-16T03:02:46.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2025-08-16T03:36:42.000Z (about 2 months ago)
- Last Synced: 2025-08-16T05:29:06.469Z (about 2 months ago)
- Topics: ai-coding-assistant, ai-programming, andrew-ng, anthropic, claude-code, course-notes, deeplearning-ai, fastapi, figma-to-code, jupyter-notebook, learning-notes, react
- Size: 59.6 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Claude Code: A Highly Agentic Coding Assistant - Course Materials
[](https://www.deeplearning.ai/)
[](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.