Découvrez les formations Google Cloud à votre manière.
Afin de répondre à vos besoins, Google Cloud a constitué un catalogue complet de plus de 980 activités de formation aux formats variés. Vous avez le choix entre de petits ateliers individuels ou des cours de plusieurs modules comprenant des vidéos, de la documentation, des ateliers et des questionnaires. Lors des ateliers, nous vous fournissons des identifiants temporaires qui vous permettent d'accéder à de vraies ressources cloud. Vous pouvez ainsi apprendre à utiliser Google Cloud en conditions réelles. Gagnez des badges pour les formations que vous terminez, définissez des objectifs, et suivez et mesurez votre progression avec Google Cloud !
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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection End to End Baseline Chat Summarization
In this lab, you build a end to end Baseline Chat Summarisation pipeline.
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Atelier Sélection Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)
In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.
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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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.