Este curso presenta las ofertas de inteligencia artificial (IA) y aprendizaje automĆ”tico (AA) en Google Cloud que admiten el ciclo de vida de datos a IA a travĆ©s de las bases de la IA, el desarrollo de la IA y las soluciones de IA. En Ć©l, se exploran las tecnologĆas, los productos y las herramientas disponibles para crear modelos y canalizaciones de AA, asĆ como proyectos de IA generativa en funciĆ³n de los diferentes objetivos de los usuarios, como cientĆficos de datos, ingenieros de AA y desarrolladores de IA.
Introduction to AI and Machine Learning on GC - EspaƱol
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Introduction to AI and Machine Learning on GC - EspaƱol
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Reconocer las tecnologĆas y herramientas de datos a IA que ofrece Google Cloud
Crear proyectos de IA generativa usando las instrucciones multimodales y eficientes de Gemini, y los ajustes de modelos
Explorar varias opciones para desarrollar un proyecto de IA en Google Cloud
Crear un modelo de AA de extremo a extremo usando Vertex AI
Details to know
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Assessments
4 assignments
Taught in Spanish
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There are 6 modules in this course
En este mĆ³dulo, se cubre el objetivo del curso de ayudar a los estudiantes a navegar por las herramientas de desarrollo de IA en Google Cloud. TambiĆ©n se proporciona una descripciĆ³n general de la estructura del curso, que se basa en un framework de IA de tres capas que incluye bases de la IA, desarrollo y soluciones.
What's included
1 video
Este mĆ³dulo comienza con un caso de uso que demuestra las capacidades de IA. Luego, se centra en las bases de la IA, incluida la infraestructura de nube, como el procesamiento y el almacenamiento. TambiĆ©n se explican los datos principales y los productos de desarrollo de IA en Google Cloud. Por Ćŗltimo, demuestra cĆ³mo usar BigQuery ML para crear un modelo de AA, que ayuda a la transiciĆ³n de datos a la IA.
What's included
10 videos1 reading1 assignment1 app item
Este mĆ³dulo explora las diversas opciones para desarrollar un proyecto de AA en Google Cloud, desde soluciones listas para usar, como APIs previamente entrenadas, hasta soluciones sin cĆ³digo y de poco cĆ³digo, como AutoML, y soluciones basadas en cĆ³digo, como el entrenamiento personalizado. Compara las ventajas y desventajas de cada opciĆ³n para ayudar a decidir cuĆ”les son las herramientas de desarrollo adecuadas.
What's included
8 videos1 reading1 assignment1 app item
En este mĆ³dulo, se explica el flujo de trabajo del AA desde la preparaciĆ³n de datos hasta el desarrollo de modelos y la entrega de modelos en Vertex AI. TambiĆ©n se muestra cĆ³mo convertir el flujo de trabajo en una canalizaciĆ³n automatizada con Vertex AI Pipelines.
What's included
9 videos1 reading1 assignment1 app item
En este mĆ³dulo, se presenta la IA generativa, el avance mĆ”s reciente de la IA, y los kits de herramientas esenciales para desarrollar proyectos de IA generativa. Comienza con el anĆ”lisis del flujo de trabajo de IA generativa en Google Cloud. Luego, se investiga cĆ³mo usar Gen AI Studio y Model Garden para acceder a Gemini multimodal, diseƱar instrucciones y ajustar modelos. Por Ćŗltimo, se exploran las capacidades de IA generativa de las soluciones de IA.
What's included
9 videos1 reading1 assignment1 app item
En este mĆ³dulo, se proporciona un resumen de todo el curso que cubre los conceptos, herramientas, tecnologĆas y productos mĆ”s importantes.
What's included
1 video1 reading
Instructor
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