# MLOps Automation With SageMaker Projects
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Create end-to-end ML solutions with CI/CD by using SageMaker Projects. 

Use SageMaker Projects to create a MLOps solution to orchestrate and manage:
+ Building custom images for processing, training, and inference
+ Data preparation and feature engineering
+ Training models
+ Evaluating models
+ Deploying models
+ Monitoring and updating models

**Topics**
+ [What is a SageMaker AI Project?](sagemaker-projects-whatis.md)
+ [Granting SageMaker Studio Permissions Required to Use Projects](sagemaker-projects-studio-updates.md)
+ [Create a MLOps Project using Amazon SageMaker Studio or Studio Classic](sagemaker-projects-create.md)
+ [MLOps Project Templates](sagemaker-projects-templates.md)
+ [View Project Resources](sagemaker-projects-resources.md)
+ [Update a MLOps Project in Amazon SageMaker Studio or Studio Classic](sagemaker-projects-update.md)
+ [Delete a MLOps Project using Amazon SageMaker Studio or Studio Classic](sagemaker-projects-delete.md)
+ [Walk Through a SageMaker AI MLOps Project Using Third-party Git Repos](sagemaker-projects-walkthrough-3rdgit.md)