Add notebook links

units/en/unit1/hands-on.mdx

@@ -1,7 +1,17 @@
 # Hands on [[hands-on]]
 
+
+  <CourseFloatingBanner
+    classNames="absolute z-10 right-0 top-0"
+    notebooks={[
+      {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/unit1/unit1.ipynb"}
+      ]} />
+
 Now that you've studied the bases of Reinforcement Learning, you’re ready to train your first agent and share it with the community through the Hub 🔥:
 
+
+
+
 A Lunar Lander agent that will learn to land correctly on the Moon 🌕
 
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/lunarLander.gif" alt="LunarLander">
@@ -14,7 +24,7 @@ So let's get started! 🚀
 
 **To start the hands-on click on Open In Colab button** 👇 :
 
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]()
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/unit1/unit1.ipynb)
 
 
 # Unit 1: Train your first Deep Reinforcement Learning Agent 🤖

units/en/unitbonus1/train.mdx

@@ -1,10 +1,16 @@
 # Let's train and play with Huggy 🐶 [[train-play]]
 
+<CourseFloatingBanner
+  classNames="absolute z-10 right-0 top-0"
+  notebooks={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/bonus-unit1/bonus-unit1.ipynb"}
+    ]} />
+
 ## Let's train Huggy 🐶
 
 **To start to train Huggy, click on Open In Colab button** 👇 :
 
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]()
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/bonus-unit1/bonus-unit1.ipynb)
 
 
 # Bonus Unit 1: Let's train Huggy the Dog 🐶 to fetch a stick