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.
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Lab Destacados Contact Center AI Insights
CCAI Insights provides contact center interaction data to answer business questions or support decisions to drive efficiency. It uses Google ML and Large Language Models to turn contact center data to insights to action. Based on the outcomes of the insights module various actions can be taken by contact center ma…
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Lab Destacados Migrating Data to and from Spanner with Dataflow
In this lab, you use Dataflow and Apache Beam to migrate data into Spanner.
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Lab Destacados Introduction to Migration Center Servers Assessments
Learn how to assess a customer's existing environment, and import data collected from Azure/AWS infrastructure. Generate inventory, performance, network dependencies and financial reports such as TCO (total cost analysis) and DPR (detailed pricing) reports.
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Lab Destacados End to End Baseline Chat Summarization
In this lab, you build a end to end Baseline Chat Summarisation pipeline.
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Lab Destacados Procesamiento de datos sin servidores con Dataflow: Cómo escribir una canalización de ETL con Apache Beam y Cloud Dataflow (Python)
En este lab, a) crearás una canalización de ETL por lotes en Apache Beam, que utiliza datos sin procesar de Google Cloud Storage y los escribe en Google BigQuery; b) ejecutarás la canalización de Apache Beam en Cloud Dataflow, y c) parametrizarás la ejecución de la canalización.
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Lab Destacados Building and Debugging Cloud Functions for Node.js
In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.
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Lab Destacados Build Apps with Gemini Code Assist
In this lab, you'll develop an app using assistance from Gemini within an IDE.
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Lab Destacados Route Datadog Monitoring Alerts to Google Cloud with Eventarc
In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.
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Lab Destacados Supervised Fine Tuning with Gemini for Question & Answering
In this lab, you will utilize fine-tuning with Gemini using the Vertex AI Supervised Tuning feature. Supervised Tuning allows you to use your training data to refine the base model's capabilities toward specific tasks.
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Lab Destacados Cisco: SD-WAN Cloud Hub with Google Cloud
In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.