platform

Cloud ML

Cloud ML refers to machine learning services and platforms provided by cloud providers, enabling developers to build, train, deploy, and manage ML models without managing underlying infrastructure. It typically includes tools for data preprocessing, model training, hyperparameter tuning, and serving predictions at scale. Major examples include Google Cloud AI Platform, AWS SageMaker, and Azure Machine Learning.

Also known as: Cloud Machine Learning, MLaaS, Machine Learning as a Service, Cloud AI, AI Platform
🧊Why learn Cloud ML?

Developers should learn Cloud ML when building scalable machine learning applications that require handling large datasets, distributed training, or automated deployment pipelines. It's ideal for teams lacking dedicated ML infrastructure or needing to integrate ML into cloud-native applications, such as recommendation systems, fraud detection, or natural language processing services.

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