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.
Google Cloud Run Serverless Workshop
Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution.
Anthos: Service Mesh
This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
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!
Applied Data: Blockchain
Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. As this Quest utilizes advanced SQL in BigQuery, we've added a SQL-in-BigQuery refresher lab at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.
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.
OK Google: Build Interactive Apps with Google Assistant
With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
Optimizing Your GCP Costs
This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.
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.
Membuat Mesin Virtual
Di lab praktis ini, Anda akan mempelajari cara membuat mesin virtual Google Compute Engine dan memahami zona, region, dan jenis mesin, Untuk melihat pratinjau, tonton video singkat ini Membuat Mesin Virtual, Dasar-Dasar GCP.
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.
Menyiapkan Load Balancer Jaringan dan HTTP
Dalam lab praktis ini, Anda akan mempelajari cara menyiapkan load balancer jaringan dan HTTP untuk aplikasi Anda yang berjalan di mesin virtual Google Compute Engine. Saksikan pratinjau singkat berikut Menyiapkan Load Balancer Jaringan & HTTP, Dasar-Dasar GCP.
Running a Node.js Container on Google Kubernetes Engine
Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.
Deploy Node.js Express Application in App Engine
In this lab, you will learn how to create a Node.js Express application on Google App Engine. Then you will learn how to update the code without taking the server down.
VM Migration: Modernize to Kubernetes through Migrate for Anthos
In this lab you'll use Migrate for Anthos to migrate a Compute Engine VM instance to a corresonding container image hosted in a Kubernetes pod.
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
Introduction to Amazon DynamoDB
This lab teaches you about Amazon DynamoDB by walking you through how to create, query, view and delete a table in the AWS Management Console.
Menjadi Pakar Cloud
Infrastruktur & DevOps
Terapkan, deploy, migrasikan, dan kelola aplikasi di cloud.
Situs & Developer Aplikasi
Untuk software engineer yang mengembangkan aplikasi di cloud.
Rancang, buat, analisis, dan optimalkan solusi big data.
Buat model machine learning terdistribusi yang bisa disesuaikan skalanya.
Keamanan, Pencadangan & Pemulihan
Pastikan Anda tetap patuh dan melindungi informasi, aplikasi data, serta infrastruktur.