

# More patterns
<a name="machinelearning-more-patterns-pattern-list"></a>

**Topics**
+ [Accelerate MLOps with Backstage and self-service Amazon SageMaker AI templates](accelerate-mlops-with-backstage-and-sagemaker-templates.md)
+ [Automate AWS infrastructure operations by using Amazon Bedrock](automate-aws-infrastructure-operations-by-using-amazon-bedrock.md)
+ [Automate the setup of inter-Region peering with AWS Transit Gateway](automate-the-setup-of-inter-region-peering-with-aws-transit-gateway.md)
+ [Deploy agentic systems on Amazon Bedrock with the CrewAI framework by using Terraform](deploy-agentic-systems-on-amazon-bedrock-with-the-crewai-framework.md)
+ [Deploy a ChatOps solution to manage SAST scan results by using Amazon Q Developer in chat applications custom actions and CloudFormation](deploy-chatops-solution-to-manage-sast-scan-results.md)
+ [Generate data insights by using AWS Mainframe Modernization and Amazon Q in Quick Sight](generate-data-insights-by-using-aws-mainframe-modernization-and-amazon-q-in-quicksight.md)
+ [Generate Db2 z/OS data insights by using AWS Mainframe Modernization and Amazon Q in Quick Sight](generate-db2-zos-data-insights-aws-mainframe-modernization-amazon-q-in-quicksight.md)
+ [Give SageMaker notebook instances temporary access to a CodeCommit repository in another AWS account](give-sagemaker-notebook-instances-temporary-access-to-a-codecommit-repository-in-another-aws-account.md)
+ [Manage AWS Organizations policies as code by using AWS CodePipeline and Amazon Bedrock](manage-organizations-policies-as-code.md)
+ [Modernize the CardDemo mainframe application by using AWS Transform](modernize-carddemo-mainframe-app.md)
+ [Modernize and deploy mainframe applications using AWS Transform and Terraform](modernize-mainframe-app-transform-terraform.md)
+ [Perform advanced analytics using Amazon Redshift ML](perform-advanced-analytics-using-amazon-redshift-ml.md)
+ [Streamline Amazon EC2 compliance management with Amazon Bedrock agents and AWS Config](streamline-amazon-ec2-compliance-management-with-amazon-bedrock-agents-and-aws-config.md)
+ [Streamline Amazon Lex bot development and deployment by using an automated workflow](streamline-amazon-lex-bot-development-and-deployment-using-an-automated-workflow.md)
+ [Transform Easytrieve to modern languages by using AWS Transform custom](transform-easytrieve-modern-languages.md)
+ [Troubleshoot states in AWS Step Functions by using Amazon Bedrock](troubleshooting-states-in-aws-step-functions.md)