Temukan pelatihan Google Cloud sesuai keinginan Anda.
Dengan lebih dari 980 aktivitas pembelajaran yang dapat dipilih, Google Cloud telah merancang katalog yang komprehensif dengan mempertimbangkan kebutuhan Anda. Katalog ini terdiri dari berbagai format aktivitas yang dapat Anda pilih. Anda dapat memilih dari lab individual berdurasi singkat atau kursus multi-modul yang terdiri dari video, dokumen, lab, dan kuis. Lab kami memberi Anda kredensial sementara ke resource cloud nyata agar Anda dapat mempelajari Google Cloud secara langsung di platform aslinya. Dapatkan badge untuk aktivitas yang berhasil Anda selesaikan, serta tentukan target, lacak progres, dan ukur keberhasilan Anda di Google Cloud.
-
Lab Unggulan Configure Device Settings for Users on ChromeOS
In this lab, you'll configure device settings for Users on ChromeOS.
-
Lab Unggulan Secure Software Supply Chain: Create and Use Cloud Workstations
In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.
-
Lab Unggulan Building Batch Pipelines in Cloud Data Fusion
This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…
-
Lab Unggulan Online Data Migration to Cloud Spanner using Striim
In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.
-
Lab Unggulan Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
-
Lab Unggulan Manage a partitioned table in BigQuery
Manage a partitioned table and use filters to reduce data examined in BigQuery
-
Lab Unggulan Set up a SIEM forwarder for Windows on Docker
In this lab, you configure a SIEM forwarder on a Windows VM using a standard Docker image. You use labels to add searchable metadata to the logs to optimize analytical capabilities.
-
Lab Unggulan Machine Learning with Spark on Google Cloud Dataproc
In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset