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.
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Lab Unggulan Creating Cross-region Load Balancing
This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.
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Lab Unggulan Menggunakan Dataproc Serverless untuk Spark guna Memuat BigQuery
Lab praktik ini menunjukkan kepada Anda cara menggunakan Dataproc Serverless untuk Spark guna memuat BigQuery.
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Lab Unggulan Automating your BigQuery Data Pipeline with Cloud Dataprep
In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.
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Lab Unggulan Exploring the Lineage of Data with Cloud Data Fusion
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
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Lab Unggulan Working with Artifact Registry
Artifact Registry is a single place to manage container images and language packages, and is fully integrated with Google Cloud tooling and and runtimes. This makes it simple to integrate it with your CI/CD tooling to set up automated pipelines.
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Lab Unggulan Mengimplementasikan Load Balancing di Compute Engine: Challenge Lab
Challenge Lab ini akan menguji kemampuan dan pengetahuan Anda dari berbagai lab dalam badge keahlian Mengimplementasikan Load Balancing di Compute Engine. Sebaiknya pahami dahulu konten lab sebelum mencoba lab ini.
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Lab Unggulan Modernizing Applications with Apigee X
In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…
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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…
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Lab Unggulan Creating a Gmail Add-on
In this hands-on lab you create a Gmail Add-on that allows you to quickly change the labels of an email thread.
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Lab Unggulan Predict Baby Weight with TensorFlow on Vertex AI
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.