typo fixes, header size change

Author: sheetalarkadam

articles/machine-learning/how-to-build-custom-acpt-env.md

@@ -14,33 +14,33 @@ ms.date: 03/17/2023
 
 # Creating Custom Curated ACPT Environments in Azure Machine Learning Studio
 
-If you are looking to extend curated environment and add HF transformers or datasets to be installed, AzureML offers creating a new env with docker context containing ACPT curated environment as base image and additional packages on top of it as below.
+If you are looking to extend curated environment and add HF transformers or datasets or any other external packages to be installed, AzureML offers creating a new env with docker context containing ACPT curated environment as base image and additional packages on top of it as below.
 
-## Step 1: Navigate to Environments
+### Step 1: Navigate to Environments
 
 In the [Azure Machine Learning Studio](https://ml.azure.com/registries/environments), navigate to the "Environments" section by clicking on the "Environments" option in the left-hand menu.
 
 ![Screenshot of navigating to environments from AML studio](media/how-to-build-custom-acpt-env/navigate_to_environments.png) 
 
-## Step 2: Navigate to Curated Enviroments
+### Step 2: Navigate to Curated Enviroments
 
-Navigate to curate environments and search "acpt" to list all the available ACPT curated enviroments. Clicking on the environment will show details of the environment. 
+Navigate to curated environments and search "acpt" to list all the available ACPT curated enviroments. Clicking on the environment will show details of the environment. 
 
 ![Screenshot of navigating to curated enviroments](media/how-to-build-custom-acpt-env/navigate-to-curated-environments.png) 
 
-## Step 3: Get details of the curated enviroment
+### Step 3: Get details of the curated enviroment
 
-To create custom environment you will need the base docker image repository which can be found in the "Description" section as "Container Registry". Copy the "Container Registry" name which will be used later when you create a new custom environment.
+To create custom environment you will need the base docker image repository which can be found in the "Description" section as "Azure Container Registry". Copy the "Azure Container Registry" name which will be used later when you create a new custom environment.
 
 ![Screenshot of getting contaioner registry name](media/how-to-build-custom-acpt-env/get_details-curated-environments.png) 
 
-## Step 4: Navigate to Custom Enviroments
+### Step 4: Navigate to Custom Enviroments
 
 Go back and click on the " Custom Environments" tab.
 
 ![Screenshot of navigating to custom enviroments](media/how-to-build-custom-acpt-env/navigate-to-custom-environment.png)
 
-## Step 5: Create Custom Environment 
+### Step 5: Create Custom Environment 
 
 Click on + Create. In the "Create Environment" window, name the environment, description and select "Create a new docker context" in Select enbvironment type section
 
@@ -59,8 +59,6 @@ That's it! You have now created a custom environment in Azure Machine Learning S
 * Learn more about environment objects:
 
     * [What are Azure Machine Learning Environments? ](concept-environments.md.md).
-    * For a low-code or no-code experience: [Create your automated ML experiments in the Azure Machine Learning studio](how-to-use-automated-ml-for-ml-models.md).
-
-* Learn more about [curated environments](concept-environments.md).
+    * Learn more about [curated environments](concept-environments.md).
 
 * Learn more about [training models in AML](concept-train-machine-learning-model.md).