diff --git a/docs/clearml_serving/clearml_serving_tutorial.md b/docs/clearml_serving/clearml_serving_tutorial.md
index c13e81b9..a6e21ebe 100644
--- a/docs/clearml_serving/clearml_serving_tutorial.md
+++ b/docs/clearml_serving/clearml_serving_tutorial.md
@@ -7,7 +7,7 @@ In this tutorial, you will go over the model lifecycle -- from training to servi
 * Serving the model using **ClearML Serving**  
 * Spinning the inference container
 
-The tutorial also covers the following`clearml-serving` features: 
+The tutorial also covers the following `clearml-serving` features: 
 * Automatic model deployment 
 * Canary endpoints
 * Model performance monitoring 
diff --git a/docs/deploying_clearml/enterprise_deploy/change_artifact_links.md b/docs/deploying_clearml/enterprise_deploy/change_artifact_links.md
index e8492c18..49ce8698 100644
--- a/docs/deploying_clearml/enterprise_deploy/change_artifact_links.md
+++ b/docs/deploying_clearml/enterprise_deploy/change_artifact_links.md
@@ -30,7 +30,7 @@ script changes the values in the databases, and can't be undone.
 
 1. Access the `apiserver` Docker container:  
 
-   * In `docker-compose:`
+   * In `docker-compose`:
     
       ```commandline
       sudo docker exec -it allegro-apiserver /bin/bash
diff --git a/docs/getting_started/data_management.md b/docs/getting_started/data_management.md
index 3064a51f..06ee9984 100644
--- a/docs/getting_started/data_management.md
+++ b/docs/getting_started/data_management.md
@@ -49,7 +49,7 @@ Your goal is to create an immutable copy of the data to be used by further steps
 The second step is to preprocess the data. First access the data, then modify it,
 and lastly create a new version of the data.
 
-1. Create a task for you data preprocessing (not required):
+1. Create a task for your data preprocessing (not required):
    
    ```python
    from clearml import Task, Dataset