diff --git a/units/en/unit0/introduction.mdx b/units/en/unit0/introduction.mdx
index 0dab4d1..f80174d 100644
--- a/units/en/unit0/introduction.mdx
+++ b/units/en/unit0/introduction.mdx
@@ -43,7 +43,7 @@ The course is composed of:
 
 - *A theory part*: where you learn a **concept in theory (article)**.
 - *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*: such AI vs. AI and leaderboard.
+- *Challenges*: you'll get to put your agent to compete against other agents in different challenges. There will also be leaderboards for you to compare the agents' performance.
 
 
 ## Two paths: choose your own adventure [[two-paths]]