diff --git a/units/en/unit0/introduction.mdx b/units/en/unit0/introduction.mdx
index 20e409d..cf251a8 100644
--- a/units/en/unit0/introduction.mdx
+++ b/units/en/unit0/introduction.mdx
@@ -37,12 +37,20 @@ Sign up  👉 <a href="http://eepurl.com/ic5ZUD">here</a>
 
 
 ## What does the course look like? [[course-look-like]]
+
 The course is composed of:
 
 - *A theory part*: where you learn a **concept in theory**.
 - *A hands-on*: where you’ll learn **to use famous Deep RL libraries** to train your agents in unique environments. These hands-on will be **Google Colab notebooks with companion tutorial videos** if you prefer learning with video format!
 - *Challenges*: you'll get to put your agent to compete against other agents in different challenges. There will also be [a leaderboard](https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard) for you to compare the agents' performance.
 
+## What's the syllabus? [[syllabus]]
+
+This is the course's syllabus:
+
+<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/syllabus1.jpg" alt="Syllabus Part 1" width="100%"/>
+<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/syllabus2.jpg" alt="Syllabus Part 2" width="100%"/>
+
 
 ## Two paths: choose your own adventure [[two-paths]]