menu

search language
Deutsch English español (Latinoamérica) français bahasa Indonesia 日本語 한국어 português (Brasil) 简体中文 繁體中文
Gabung
close

Jadilah pakar cloud dengan pelatihan interaktif.

Kami berikan kredensial sementara untuk Google Cloud Platform dan Amazon Web Services, agar Anda dapat mempelajari cloud secara konkret – tanpa simulasi. Mulai dari lab individu berdurasi 30 menit hingga kursus selama beberapa hari, mulai dari level pemula hingga ahli, kursus yang dipandu instruktur atau belajar mandiri, dengan topik seperti machine learning, keamanan, infrastruktur, developer aplikasi, dan banyak lagi, semuanya tersedia untuk Anda.

Featured Learning

Quest

GCP Essentials

Dalam quest level pendahuluan ini, Anda akan mendapatkan praktik langsung dengan aneka fitur dan layanan dasar Google Cloud Platform. Dasar-Dasar GCP adalah Quest pertama yang direkomendasikan bagi peserta kursus Google Cloud—Anda dapat memulai dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan selesai dengan pengalaman praktis yang dapat diterapkan pada project GCP pertama Anda. Mulai dari menulis perintah Cloud Shell dan menerapkan mesin virtual pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar GCP merupakan pengenalan terbaik pada fitur-fitur dasar platform cloud. Setiap lab disertai video berdurasi 1 menit yang akan memandu Anda memahami berbagai konsep penting.

Introductory
Quest

Baseline: Infrastructure

If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.

Introductory
Quest

Kubernetes in Google Cloud

Kubernetes is the most popular container orchestration system and the Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in the Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images and containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional at the end of the

Advanced
Quest

DevOps Essentials

Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five multiple-choice question quiz and find out!

Fundamental
Quest

Cloud Healthcare API

Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

Fundamental

Sedang Populer

Populer
Lab Praktik

Tur Qwiklabs dan Google Cloud Platform

Dalam lab interaktif yang pertama ini, Anda akan mengakses Qwiklabs dan Google Cloud Platform Console, serta menggunakan beberapa fitur dasar GCP: Project, Resource, Pengguna IAM, Peran, Izin, API, dan Cloud Shell.

Introductory
Populer
Lab Praktik

Membuat Mesin Virtual

Dalam lab interaktif ini, Anda akan mempelajari cara membuat mesin virtual Google Compute Engine dan memahami zona, region, dan jenis mesin. Untuk melihat pratinjaunya, tonton video singkat Get Started with Cloud Shell, GCP Essentials.

Introductory
Populer
Lab Praktik

Memulai Cloud Shell & gcloud

Dalam lab praktik langsung ini, Anda akan mempelajari cara menghubungkan ke resource komputasi yang dihosting di Google Cloud Platform melalui web. Anda juga akan mempelajari cara menggunakan Cloud Shell dan perintah gcloud Cloud SDK Untuk melihat pratinjau, tonton video singkat Memulai Cloud Shell, Dasar-Dasar GCP.

Introductory
Populer
Lab Praktik

Kubernetes Engine: Qwik Start

Google Kubernetes Engine menyediakan lingkungan terkelola untuk men-deploy, mengelola, dan menskalakan aplikasi dalam container menggunakan infrastruktur Google. Lab praktik ini menunjukkan cara men-deploy aplikasi dalam container dengan Kubernetes Engine. Tontonlah video singkat Mengelola Aplikasi dalam Container dengan Kubernetes Engine.

Introductory
Sedang Tren
Lab Praktik

Automating DevOps Workflows with GitLab and Terraform

In this lab, you will learn how to use GitLab and Terraform to automate devops workflows.

Fundamental
Sedang Tren
Lab Praktik

Build a Serverless Text-to-Speech Application with Amazon Polly

This lab builds a complete serverless application that demonstrates how to convert text-to-speech using Amazon Polly.

Advanced
Sedang Tren
Lab Praktik

Managing IoT Sensor Data with Amazon ElastiCache for Redis

In this lab, you will see how AWS IoT makes it easy to use AWS services like AWS Lambda and Amazon ElastiCache Service to build IoT applications that gather, process, and analyze data generated by connected devices (in this case an emulator), without having to manage any infrastructure. The goal of capturing time series data from IoT devices such as sensors is to learn from observations and apply that learning or analytics to improve upon some experience or to help predict the next event, given previous observations. Here we'll simulate temperature sensor readings and capture, then ingest and analyze that data with Amazon ElastiCache for Redis. Prerequisites: To successfully complete this lab, you should be familiar with the basics of Elasticache and AWS Internet-Of-Things from taking the Introduction to Amazon Elasticache lab and the Introduction to Internet-Of-Things lab. Further experience with SQL and command-line operations will also be useful. For the lab to function as written, please DO NOT change the auto assigned region.

Advanced
Rating Tinggi
Lab Praktik

Hardening Default GKE Cluster Configurations

This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

Expert
Rating Tinggi
Lab Praktik

Learning TensorFlow: the Hello World of Machine Learning

In this lab, you learn the basic ‘Hello World' of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.

Introductory
Rating Tinggi
Lab Praktik

Deploy Your Website on Cloud Run

In this lab you will deploy a website to Google Kubernetes Engine, scale it out to more instances, then deploy a new version using rolling updates.

Fundamental

Menjadi Pakar Cloud

Infrastruktur & DevOps

Terapkan, deploy, migrasikan, dan kelola aplikasi di cloud.

Situs & Developer Aplikasi

Untuk software engineer yang mengembangkan aplikasi di cloud.

Big Data

Rancang, buat, analisis, dan optimalkan solusi big data.

Machine Learning

Buat model machine learning terdistribusi yang bisa disesuaikan skalanya.

Keamanan, Pencadangan & Pemulihan

Pastikan Anda tetap patuh dan melindungi informasi, aplikasi data, serta infrastruktur.

Telusuri seluruh katalog
Privasi Persyaratan