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AI and Machine Learning for Student Developers

Innovate with pre-packaged and custom machine learning products and services on Google Cloud.

Ideate and deploy

Whether you are a developer or data scientist, Google Cloud offers AI products and services to help you quickly take projects from experimentation to production.

Case Study

At a New York University hackathon, one team develops a mobile app designed as a preliminary step in helping to detect melanoma via smartphone camera.


Jupyter on the web with Colab: Colab not only lets you execute Jupyter Notebooks on the web, but also offers a free GPU, excellent collaboration features, built-in code snippets, and much much more.


TensorFlow for Poets: learn how to install and run TensorFlow on a single machine, then train a simple classifier to classify images of flowers.



Classify images of clouds in the cloud with AutoML Vision

Learn to upload images to the AutoML UI and train a model that will be available on GCP for generating predictions

  • Updated June 29, 2018

Getting started with BigQuery ML

Learn how to use BigQuery to create machine learning models from Analytics 360 datasets.

  • Updated December 6, 2018

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Learn about and work through real-world use cases of AI and ML

Experts and influencers

Meet our Developer Advocates and the community of Google Developer Experts.