The foundational courses cover machine learning fundamentals and core concepts.
We recommend taking them in the order below.
The advanced courses teach tools and techniques for solving a variety of machine learning problems.
The courses are structured independently. Take them based on interest or problem domain.
Our guides offer simple step-by-step walkthroughs for solving common machine learning problems using best practices.
Rules of ML
Become a better machine learning engineer by following these machine learning best practices used at Google.
People + AI Guidebook
This guide assists UXers, PMs, and developers in collaboratively working through AI design topics and questions.
This comprehensive guide provides a walkthrough to solving text classification problems using machine learning.
Good Data Analysis
This guide describes the tricks that an expert data analyst uses to evaluate huge data sets in machine learning problems.
The glossaries define machine learning terms.