Coursera Project Network
Implementando modelo Computer Vision en Amazon Sagemaker

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Implementando modelo Computer Vision en Amazon Sagemaker

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Learn, practice, and apply job-ready skills with expert guidance
Beginner level

Recommended experience

1 hora de trabajo
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Beginner level

Recommended experience

1 hora de trabajo
Learn at your own pace
Hands-on learning

What you'll learn

  • Utilizar Amazon SageMaker Studio

  • Desplegar modelos de Visión Computacional

Details to know

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Add to your LinkedIn profile

Taught in Spanish
No downloads or installation required

Only available on desktop

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introducción a Amazon SageMaker

  2. Creando el dominio de Amazon SageMaker Studio

  3. Iniciando el proyecto

  4. Reentrenando el modelo

  5. Ejecutando un modelo de extracción de atributos

Recommended experience

Al menos 1 año de experiencia con Amazon Web Services

5 project images

Instructor

Nestor Nicolas Campos Rojas
Coursera Project Network
8 Courses3,584 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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