Google is committed to advancing racial equity for Black communities. See how.

Data science and machine learning on Cloud AI Platform

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.

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

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

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.

Codelabs

Codelab

Ready for a deep dive into deep learning? As you train your neural network to achieve 99% accuracy, you will also discover the tools of the trade that deep learning professionals use to train their models efficiently.

Codelab

Learn how to use Kubeflow Pipelines to train a Tensor2Tensor model that predicts issue titles from issue body text. Then deploy and serve your model with TF Serving, and access it from a web app to get predictions.

Experts and influencers

Meet Google’s data science, AI, and ML experts

News

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

Products

Solutions

Learn about examples of real-world data science

Videos

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