Deploying Artificial Intelligence Solution with Azure Machine Learning

What should the company use to train and deploy models in Azure machine learning?

1) Azure logic apps

2) Azure Machine learning, designer

3) Azure Batch

4) Azure Cosmos DB

Answer:

To train and deploy models in Azure machine learning, the company should use Azure Machine Learning and its various deployment options like Azure Kubernetes Service (AKS) or Azure Container Instances (ACI).

When deploying an artificial intelligence solution in Azure, the company should utilize Azure Machine Learning for model training and deployment. Azure Machine Learning is a cloud-based service that offers a platform to build, train, and deploy machine learning models.

Using Azure Machine Learning, the company can train models by writing code in Python or by using the visual drag-and-drop interface of Azure Machine Learning Designer. The trained models can then be deployed and managed through Azure Machine Learning deployment options like Azure Kubernetes Service (AKS) or Azure Container Instances (ACI).

By leveraging Azure Machine Learning and its deployment capabilities, the company can efficiently train AI models and deploy them in Azure, enabling the successful implementation of artificial intelligence solutions.