24 Courses on Artificial Intelligence by Google
Filters
Problem Framing
Introduction to Machine Learning Problem Framing teaches you how to determine if machine learning (ML) is a good approach for a problem and explains how to outline an ML solution.
ML Practicum: Image Classification
Learn how Google developed the state-of-the-art image classification model powering search in Google Photos.
Fairness in Perspective API
Learn how the Jigsaw team addressed online harassment in partnership with Google's Counter-Abuse Technology team by developing Perspective API, which uses machine learning to identify toxic comments.
Generative Adversarial Networks
Generative adversarial networks (GANs) are an exciting recent innovation in machine learning.
Decision Forests
This course introduces decision trees and decision forests. Decision forests are a family of interpretable machine learning algorithms that excel with tabular data.
Machine Learning Crash Course with TensorFlow APIs
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
The Nuts and Bolts of Machine Learning
Build and evaluate supervised and unsupervised learning models using Python.
Clustering
An exhaustive description of and comparison between different algorithmic approaches to clustering.
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Containerize ML workflows for reproducibility, reuse, and scalable training and inference on Google Cloud.
Smart Analytics, Machine Learning, and AI on Google Cloud
Execute BigQuery commands from notebooks.