Update README.md

README.md

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 ![robotics course](https://huggingface.co/robotics-course/images/resolve/main/banner.png)
 
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-  <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/62d648291fa3e4e7ae3fa6e8/Jm3GYn6LHuasiLSlj03hd.png" alt="Course Image" style="width: 7em; border-radius: 5px 5px 0 0;">
-  <h2 style="color: #333; margin-bottom: 10px;">🎓 Chapters 1 and 2 are now available! If you want to join in, follow this org!</h2>
-  <a href="https://huggingface.co/learn/robotics-course/en/chapter0/1" style="display: inline-block; padding: 10px 20px; background-color: lightcoral; color: white; text-decoration: none; border-radius: 5px; transition: background-color 0.3s ease;" onmouseover="this.style.backgroundColor='#0056b3'" onmouseout="this.style.backgroundColor='#007bff'">Learn it now</a>
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 # Welcome to the 🤗 Robotics Course
 
 ![Robotics Course](https://huggingface.co/robotics-course/images/resolve/main/ch1/ch1-lerobot-figure1.png)
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 > [!TIP]
 > This course bridges theory and practice in Robotics! It's designed for students interested in understanding how machine learning is transforming robotics. Whether you're new to robotics or looking to understand learning-based approaches, this course will guide you step by step.
 
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+  <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/62d648291fa3e4e7ae3fa6e8/Jm3GYn6LHuasiLSlj03hd.png" alt="Course Image" style="width: 7em; border-radius: 5px 5px 0 0;">
+  <h2 style="color: #333; margin-bottom: 10px;">🎓 Chapters 1 and 2 are now available! If you want to join in, follow this org!</h2>
+  <a href="https://huggingface.co/learn/robotics-course/unit0/1" style="display: inline-block; padding: 10px 20px; background-color: lightcoral; color: white; text-decoration: none; border-radius: 5px; transition: background-color 0.3s ease;" onmouseover="this.style.backgroundColor='#0056b3'" onmouseout="this.style.backgroundColor='#007bff'">Learn it now</a>
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 ## What to expect from this course?
 
 Across the course you will study classical robotics foundations and modern learning‑based approaches, learn to use LeRobot, work with real robotics datasets, and implement state‑of‑the‑art algorithms. The emphasis is on practical skills you can apply to real robotic systems.