🚀 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

🤝 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 and follow along with the lessons.