How Google does Machine Learning en Français

This module provides an overview of the course series and presents a brief introduction to the course. It also covers identifying problems related to machine learning and integrating ML into applications.

Explore the concept of businesses centered around AI, the types of problems machine learning can solve, and strategies for integrating ML into applications. The module includes a quiz to test understanding.

Delve into Google's approach to machine learning, understanding the surprises of ML, the secret ingredient, and transitioning to ML within business processes. The module concludes with a quiz.

Learn about developing machine learning with Vertex AI, including transitioning from testing to production, components of Vertex AI, and utilizing datasets to train AutoML models. The module also includes workshops and quizzes.

Discover the development of machine learning using notebooks Vertex, including optional workshops for training AutoML models and using the Vertex AI Model Builder SDK. The module also includes a quiz.

This module focuses on implementing ML best practices, covering development, data preprocessing, and configuring a machine learning environment. It includes a quiz to evaluate learning.

Understand the principles of responsible AI development, including recognizing human biases in ML models, evaluating metrics for ML inclusion, ensuring equal opportunities, and using Facets to identify data errors. The module concludes with a quiz.