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AI & Machine Learning

AI and Machine Learning from Google lets you responsibly create, deploy and manage machine learning models for desktop, micro, mobile, web, and cloud.

On-demand

AI and machine learning for developers

Learn what Google is doing in the AI and machine learning space, from developer APIs to state of the art research.

What's new in AR

Get the latest on our AR developer tools, including the new ARCore Geospatial API.

Adding machine learning to your developer toolbox

Mobile, web, and backend developers: Adding machine learning to your app is easier then you'd expect!

An introduction to MLOps with TFX

Learn why MLOps is important for any product, and how TFX helps make it real

Building for everyone: The importance of representative data

Learn how developers are using crowdsourcing tools like Task Mate (beta) to address data quality and representation bias

Deploy a custom ML model to mobile

Learn how to author, optimize, and deploy a custom TensorFlow Lite model in your Android and iOS apps.

Easier data preprocessing with Keras

Join us for a dive into what's new with Keras, the human-friendly ML library.

Fraudfinder: A comprehensive solution for real data science problems

Get a practical overview of Vertex AI capabilities by building a fraud detection system app.

From colab to Cloud in five steps

Learn how to become a Google Cloud machine learning developer in five steps.

Further on the edge with Coral Dev Board Micro

Hear the latest updates from Google Coral for developing AI/ML solutions at the edge.

Machine learning for developers in a hurry

Would you like add ML to your app in a hurry? Learn about the fastest, easiest-to-use ML tools and how to use them.

Making smart IoT devices with TensorFlow Lite and Raspberry Pi

AI & ML on a Raspberry PI. Get hands on with object detection and sound classification with standard and custom models.

Responsible AI review processes: From a developer’s point of view

Lessons learned, resources, and tools from Google’s ethics review teams who support developers building AI applications.

TensorFlow.js: From prototype to production, what's new in 2022?

Get a tour of what's new for web developers with TensorFlow.js – from new models to improved tooling!

Tips and tricks for distributed large model training

Understand patterns and practices for distributed training and data for large-scale models.

What's new in Android accessibility

Learn about new Android accessibility features: Braille, summarizing photo content, listening in noisy environments.

What's new in Android machine learning

Updates on the latest APIs and early access programs for machine learning on Android.

What's under the hood in ARCore

Get a deep dive on ARCore, including the APIs for tracking and placement and ML models for improving your experiences.

Apply responsible AI principles when building remote sensing datasets

Learn to use the Dynamic World dataset and apply responsible innovation practices for large-scale social benefit.

Customizing machine learning models: the easy way

Learn how to stand on the shoulders of giants, and customize their models with your data for your scenarios!

Faster model training and experimentation with Vertex AI

Get hands-on experience with running large scale hyperparameter tuning and distributed training jobs on Vertex AI.

Product fairness testing for developers

Walk through product fairness testing methods and responsible AI tools, from the technical and societal points of view.

Web ML: Transfer learning in JavaScript with TensorFlow.js

Make your own version of "Teachable Machine" that can leverage transfer learning in the browser to recognize anything!
Grow your skills

ARCore Augmented Images

ARCore Cloud Anchors with Cloud Anchors

ARCore Raw Depth API

Add a map to your Android app (Kotlin)
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