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Data science and machine learning on AI Platform

Google Cloud's tools for productive data science and machine learning

Take your machine learning projects from ideation to production

Use our suite of tools and services to access a productive data science development environment. AI Platform supports Kubeflow, which lets you build portable ML pipelines that you can run on-premises or on Google Cloud Platform without significant code changes. Access cutting-edge Google AI technology like TensorFlow, TPUs, and TFX tools as you deploy your AI applications to production.

Create a new AI Platform notebook instance

Jump right into your very own Jupyter environment in the cloud by creating a Jupyter notebook on GCP!


Get started with Cloud TPUs

Learn how to use Cloud TPUs to speed up your machine learning training and inference.


Training and prediction with Keras

Ready to run some training and prediction jobs in the cloud? This quickstart guide will show you how to run Keras training jobs with AI Platform.

Cloud AI Adventures

Exploring the art, science, and tools of machine learning

Experts and influencers

Meet Google’s data science, AI, and ML experts
Learn about examples of real-world data science


Featured data science, AI, and ML videos from Google’s YouTube channels

News feed

Get the latest news and articles about data science, AI, and ML