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.
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 GCP 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 GCP 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 GCP 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.
Exploring Google Ngrams with Amazon EMR
This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.
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.
Using Firestore with Cloud IoT Core for Device Configuration
Learn how to configure Cloud Functions for Firebase to relay document changes in Cloud Firestore as configuration updates for Cloud IoT Core Devices.
Google Kubernetes Engine Security: Binary Authorization
This lab deploys a Kubernetes Engine Cluster with the Binary Authorization feature enabled; you'll learn how to whitelist approved container registries and the process of creating and running a signed container.
Centralized Log Processing with Amazon Elasticsearch Service
Applications captures large amount of data that—when analyzed in real time—provides significant insight into your applications. Real-time log analysis can be used to ensure security compliance, troubleshoot operation events, identify application usage patterns, and much more. Let's take a look at an use case: You have several AWS accounts all collecting logs and shipping them to a central account for processing. You have a team of developers who are looking for stack traces from their code, and you got business and product owner wanting to know the events that took place in yesterday. The security team just pinged you that they just got abuse notifications from AWS. Your course of action is to quickly identify what the problem is remedy the situation. This lab will provide you on how to build a scalable centralized log processing solution and inspect various security related threats and how to respond on those.
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
Video on Demand with AWS Elemental MediaConvert
In this lab, you will utilize the AWS Elemental MediaConvert Service to convert input video into multiple output formats, combine multiple videos into one during the conversion process, add captions/watermarks to the videos, and work with ad insertion metadata.
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.