feat: add THU SIGS special thanks info box to learning-map pages

Add acknowledgement info boxes to both Chinese and English learning-map
pages, thanking Tsinghua University SIGS students for their testing,
feedback, and contributions to the course.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: sanbuphy

docs/en/stage-1/learning-map/index.md

@@ -5,6 +5,10 @@ description: 'Complete roadmap for learning AI programming: from zero basics to
 
 # From Idea to AI Product
 
+::: info Special Thanks
+Special thanks to the students from **Tsinghua University Shenzhen International Graduate School (THU SIGS)** for their testing, feedback, and support for this course! Your contributions and suggestions have made this course better. [👉 View full contributors list](https://github.com/datawhalechina/easy-vibe#contributing--contributors)
+:::
+
 In the past, building software had a high barrier: you had to understand programming and algorithms and have years of project experience.
 Now it's different. As long as you have an idea, AI can help you write the code.
 

docs/zh-cn/stage-1/learning-map/index.md

@@ -11,6 +11,10 @@ const relatedArticles = relatedArticlesMap['zh-cn/stage-1/learning-map'] ?? []
 
 # 从创意到 AI 产品
 
+::: info 特别感谢
+特别感谢来自 **清华大学深圳国际研究生院（THU SIGS）** 的同学们对本课程的测试、反馈和支持！你们的意见和贡献让这门课程变得更好。[👉 查看完整贡献者名单](https://github.com/datawhalechina/easy-vibe#contributing--contributors)
+:::
+
 以前做软件，门槛很高：你要懂编程、懂算法，还得有几年的项目经验。
 现在不一样了。只要你有想法，AI 就能帮你写代码。