Introduction to AI and Machine Learning on GC - Español

Module 1: Introducción

This module serves as an introductory overview of the course, providing an initial glimpse into the diverse topics and skills that participants will explore throughout the program.

Module 2: Bases de la IA

Delve into the foundational concepts of AI, gaining insights into the framework of AI/ML on Google Cloud, the infrastructure, available data and AI products, categories of ML models, and practical exercises using BigQuery ML.

Module 3: Opciones de desarrollo de IA

Explore the various development options for AI, including pre-trained APIs, Vertex AI, AutoML, and personalized training, with a focus on practical applications through labs and assessments.

Module 4: Flujo de trabajo de desarrollo de la IA

Understand the machine learning workflow, from data preparation to model development and deployment, also exploring MLOps for workflow automation. Engage in a comprehensive lab focusing on risk prediction with AutoML through Vertex AI.

Module 5: IA generativa

Dive into generative AI, examining its applications, including the Model Garden and Generative AI Studio, and explore solutions of generative AI through practical hands-on labs and assessments.

Module 6: Resumen

Conclude the course with a comprehensive summary, consolidating the knowledge and skills gained, ensuring a thorough understanding of AI and ML on Google Cloud.