Update concept-environments.md

Author: itechedit

articles/machine-learning/concept-environments.md

@@ -48,12 +48,12 @@ For specific code samples, see the "Create an environment" section of [Reuse env
 * Environments are automatically registered to your workspace when you submit an experiment. They can also be manually registered.
 * You can fetch environments from your workspace to use for training or deployment, or to make edits to the environment definition.
 * With versioning, you can see changes to your environments over time, which ensures reproducibility.
-* You can build Docker images automatically from your environments
+* You can build Docker images automatically from your environments.
 
 For code samples, see the "Manage environments" section of [Reuse environments for training and deployment](how-to-use-environments.md#manage-environments).
 
 ## Next steps
 
 * Learn how to [create and use environments](how-to-use-environments.md) in Azure Machine Learning.
 * See the Python SDK reference documentation for the [environment class](https://docs.microsoft.com/python/api/azureml-core/azureml.core.environment(class)?view=azure-ml-py).
-* See the R SDK reference documentation for [environments](https://azure.github.io/azureml-sdk-for-r/reference/index.html#section-environments).
+* See the R SDK reference documentation for [environments](https://azure.github.io/azureml-sdk-for-r/reference/index.html#section-environments).