TensorFlow Cloud is a Python package that provides APIs for a seamless transition from local debugging to distributed training in Google Cloud. It simplifies the process of training TensorFlow models on the cloud into a single, simple function call, requiring minimal setup and no changes to your model. TensorFlow Cloud handles cloud-specific tasks such as creating VM instances and distribution strategies for your models automatically. This guide will demonstrate how to interface with Google Cloud through TensorFlow Cloud, and the wide range of functionality provided within TensorFlow Cloud. We'll start with the simplest use-case.