Generally available: Azure Machine Learning managed endpoints and Command Line Interface v2

With managed online endpoints, you will have a fully managed infrastructure by specifying the VM instance type and scale settings. You can also try the safe rollout of a model using blue/green deployment. With managed batch endpoints, you can speed up your model deployment with no-code model deployment with MLflow, flexible input data sources, configurable output location, and the managed cost with autoscaling compute. 

Additionally, the Command Line Interface v2 general availability allows you to participate in the machine learning lifecycle without needing to learn specific programming languages. 

See additional resources:

• Managed endpoints in Azure Machine Learning for simplified model development
• Deploy an Azure Machine Learning model to a managed endpoint with CLI (v2)
• CLI & SDK v2 - Azure Machine Learning | Microsoft Docs