Descubra las capacitaciones de Google Cloud a su manera.
Con más de 980actividades de aprendizaje entre las que elegir, Google Cloud diseñó este catálogo integral teniéndote en cuenta. Este catálogo consta de una variedad de formatos de actividad para que elijas. Elige entre labs individuales breves o cursos de varios módulos que contienen videos, documentos, labs y cuestionarios. Nuestros labs te proporcionan credenciales temporales a recursos reales de la nube para que puedas aprender a usar Google Cloud de forma práctica. Gana insignias por las actividades que completes y define, supervisa y mide tu éxito con Google Cloud.
732 resultados
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Lab Destacados BigQuery Soccer Data Analytical Insight
Learn how to create deeper analytical insights from soccer event data using BigQuery.
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Lab Destacados Arcade Hero: Enter the Artifact Registry YUM
Arcade Hero: Artifact Registry Level One
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Lab Destacados Introduction to Convolutions with TensorFlow
A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!
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Lab Destacados Arcade Hero: Enter the Artifact Registry APT
Arcade Hero: Artifact Registry Level One
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Lab Destacados Arcade Hero: Enter the Artifact Registry Python
Arcade Hero: Artifact Registry Level One
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Lab Destacados Build an AI Image Generator app using Imagen on Vertex AI
In this lab, you will learn how to use Google's Vertex AI SDK to interact with the pre-trained Image Generation AI model, enabling you to send text prompts to the AI model as an input for image generation and receive the image response generated by the AI model.
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Lab Destacados Arcade Hero: Enter the Artifact Registry NPM
Arcade Hero: Artifact Registry Level One
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Lab Destacados BigQuery Machine Learning using Soccer Data
Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
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Lab Destacados Deploying a Multi-Cluster Gateway Across GKE Clusters
Learn how to enable, use, and deploy the multi-cluster Google Kubernetes Engine (GKE) Gateway controller