How Google does Machine Learning en Español

Module 0 provides an overview of the course series and an introduction to the course. Understand the focus on AI and its applications in this introductory module.

Module 1 delves into the meaning of AI, its problem-solving capabilities, and incorporating AI into applications. Learn how to create a data strategy around AI and explore relevant resources.

Module 2 explores how Google works with machine learning, addressing surprise factors, the secret ingredient, and the journey towards AI. Gain insights into Google's AI processes, detailed phases, and available resources.

Module 3 focuses on developing machine learning with Vertex AI, transitioning from experimentation to production, understanding Vertex AI components, and utilizing tools to interact with Vertex AI.

Module 4 covers the development of machine learning with Vertex AI Notebooks, including optional labs for SDK usage and resources for further exploration.

Module 5 provides insights into best practices for implementing machine learning in Vertex AI, including data preprocessing, environment configuration, and resources for guidance.

Module 6 emphasizes responsible AI development, addressing human bias, bias in data, evaluating metrics, equal opportunities, error identification, and relevant resources.

Module 7 serves as a summary of the course, providing a comprehensive overview of the covered topics and key takeaways.