Utsav Solanki
Menjadi anggota sejak 2022
Diamond League
47275 poin
Menjadi anggota sejak 2022
Race to the finish line with the Arcade June Speedrun and pick up valuable skills along with an exclusive Google Cloud Credential. Get hands-on experience with APIs, learn how to build a serverless app, and more! No prior experience needed.
Hey there! You're invited to game on with the Arcade Trivia for June Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 4 badge!
Selesaikan kursus badge keahlian tingkat menengah Memitigasi Ancaman dan Kerentanan dengan Security Command Center untuk menunjukkan keterampilan dalam hal berikut: mencegah dan mengelola ancaman lingkungan, mengidentifikasi dan memitigasi kerentanan aplikasi, serta merespons anomali keamanan.
This course consists of a series of labs, designed to provide the learner hands-on experience performing a variety of tasks pertaining to setup and maintenance of their Google VPC networks.
Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
Hey there! You're invited to game on with the Arcade Trivia for June Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 3 badge!
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
Hey there! You're invited to game on with the Arcade Trivia for June Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 2 badge!
Bring your ideas to life by gaining hands-on experience in application development and deployment on Google Cloud Platform. Master security, traffic management, and learn to use development frameworks while earning a Google Cloud Credential. No prior experience needed!
Hey there! You're invited to game on with the Arcade Trivia for June Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 1 badge!
The Cloud hums with constant communication, and the backbone of that connection is networking, linking all your resources and services. Get ready to gain hands-on experience with Google Cloud's powerful networking tools and earn an exclusive Google Cloud Credential—no prior experience needed!
Selesaikan badge keahlian tingkat menengah Menerapkan Dasar-Dasar Keamanan Cloud di Google Cloud untuk menunjukkan kemahiran dalam hal berikut: membuat dan menetapkan peran dengan Identity and Access Management (IAM); membuat dan mengelola akun layanan; memungkinkan konektivitas pribadi di seluruh jaringan virtual private cloud (VPC); membatasi akses aplikasi menggunakan Identity-Aware Proxy; mengelola kunci dan data terenkripsi dengan Cloud Key Management Service (KMS); dan membuat cluster Kubernetes pribadi.
Excited to follow your favorite soccer/football stars on their next quest? Use GenAIus Travel Guides to learn how to interact with chat applications, master prompt engineering, understand the importance of context in AI, and work with Generative AI. Earn an exclusive Google Cloud Generative AI Credential and showcase your new skills! No prior experience needed!
Selesaikan badge keahlian pengantar Mengimplementasikan Cloud Load Balancing untuk Compute Engine untuk menunjukkan keterampilan dalam hal berikut: membuat dan men-deploy virtual machine di Compute Engine serta mengonfigurasi load balancer aplikasi dan jaringan.
Welcome to Qwiklabs Trivia for June! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the May badge.
There’s so much more to cloud security than making your passwords something other than “password”. As more and more businesses move their data and applications to the cloud, the importance of - and demand for - cloud security is growing exponentially. In fact, the demand for cloud security professionals is outpacing the supply: according to a report by Cybersecurity Ventures, there are roughly 3.5 million unfilled cybersecurity positions around the world in 2023. Unlock your cloud security potential with hands-on experience in the Arcade - each lab teaches and tests your growing tech skills, and sets you on the path to a Google Cloud credential.
Selesaikan kursus badge keahlian Pemantauan di Google Cloud tingkat pemula untuk menunjukkan keterampilan dalam hal berikut: menggunakan alat Cloud Monitoring untuk memantau resource di Google Cloud.
Dapatkan Badge Keahlian dengan menyelesaikan kursus Membangun Aplikasi Berbasis Peristiwa dengan Eventarc. Dalam kursus ini, Anda akan menggunakan Eventarc untuk membuat pemicu peristiwa di berbagai resource, termasuk topik Pub/Sub dan bucket Cloud Storage.
The demand for data skills is growing rapidly, and we want you to get some of that sweet knowledge! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. Data can be used to identify trends, patterns, and insights that can help businesses improve their operations, products, and services - which makes data career paths highly valuable. There are a lot of different aspects to data science, so it's important to start with the basics - and we’ve got you covered. Kickstart your data skills discovery and get hands-on experience in the Arcade, with labs that help you learn and earn your first Google Cloud credential. No experience required.
Dapatkan badge keahlian dengan menyelesaikan kursus Membuat Data Lake Streaming di Cloud Storage, tempat Anda menggunakan Pub/Sub, Dataflow, dan Cloud Storage bersama-sama untuk membuat data lake streaming di Google Cloud.
Dapatkan badge keahlian dengan menyelesaikan kursus badge keahlian Panduan Awal Menggunakan Looker, tempat Anda mempelajari cara menganalisis, memvisualisasikan, dan mengelola data menggunakan Looker Studio dan Looker.
Dapatkan badge keahlian dengan menyelesaikan kursus badge keahlian Menerapkan Solusi Cloud Storage dan Perlindungan Data, tempat Anda mempelajari cara membuat bucket Cloud Storage, cara menggunakan command line Cloud Storage, dan cara menggunakan Kunci Bucket untuk melindungi objek di bucket.
Selesaikan kursus badge keahlian Memperkaya Metadata dan Penemuan Data Lakehouse untuk menunjukkan keterampilan dalam menggunakan BigQuery, Lakehouse, dan Knowledge Catalog. Anda akan membuat tabel Lakehouse, lalu memperkaya pengelolaan metadata dan penemuan data dalam tabel.
Selesaikan kursus badge keahlian pengantar Membuat Data Lake Aman di Cloud Storage untuk menunjukkan keterampilan dalam hal berikut: mengamankan dan mengonfigurasi bucket Cloud Storage, menggunakan Gemini untuk pembuatan teks, mengelola kontrol akses IAM, dan membuat Knowledge Catalog lake untuk tata kelola data.
Dapatkan badge keahlian dengan menyelesaikan kursus Menganalisis Ucapan dan Bahasa dengan Google API, tempat Anda mempelajari cara menggunakan API Natural Language and Speech dalam konteks nyata.
Dapatkan badge keahlian dengan menyelesaikan kursus tentang pengantar Membuat dan Mengelola Instance Cloud Spanner untuk menunjukkan keterampilan dalam: membuat dan berinteraksi dengan instance dan database Cloud Spanner; memuat database Cloud Spanner menggunakan berbagai teknik; mencadangkan database Cloud Spanner; menentukan skema dan memahami rencana kueri; serta men-deploy Aplikasi Web Modern yang terhubung ke instance Cloud Spanner.
Selesaikan kursus badge keahlian pengantar Mengamankan Data Lakehouse untuk menunjukkan keterampilan dengan IAM, BigQuery, Lakehouse, dan Data Catalog dalam Knowledge Catalog untuk membuat dan mengamankan tabel Lakehouse.
Welcome to Qwiklabs Trivia for May! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the May badge.
Selesaikan badge keahlian pengantar Mengelola dan Mengatur Data dengan Dataplex untuk menunjukkan keahlian dalam hal berikut: membuat aset Dataplex, membuat jenis aspek, dan menerapkan aspek ke entri di Dataplex. Badge keahlian akan memvalidasi pengetahuan praktis Anda terkait produk tertentu melalui lab interaktif dan penilaian tantangan. Dapatkan badge dengan menyelesaikan kursus atau langsung ikuti Challenge Lab untuk mendapatkan badge Anda hari ini. Badge membuktikan kemahiran Anda, meningkatkan profil profesional Anda, dan pada akhirnya membantu meningkatkan peluang karier Anda. Buka profil Anda untuk memantau badge yang telah Anda peroleh.
Ever thought "I wish I had an app for this" ? Guess what - employers have, too. In fact, demand for citizen developers is expected to grow 300% by 2024 according to a Forrester report. Become the innovator companies want and need with the Arcade. Play now to get hands-on experience creating custom applications with Google Cloud's powerful data tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
Dapatkan badge keahlian Pengantar dengan menyelesaikan kursus Membangun Aplikasi Serverless dengan Cloud Run Functions, yang akan membahas cara menggunakan Cloud Run Functions melalui Konsol Google Cloud dan command line. Badge keahlian akan memvalidasi pengetahuan praktis Anda terkait produk tertentu melalui lab interaktif dan penilaian tantangan. Dapatkan badge dengan menyelesaikan kursus atau langsung ikuti Challenge Lab untuk mendapatkan badge Anda hari ini. Badge membuktikan kemahiran Anda, meningkatkan profil profesional Anda, dan pada akhirnya membantu meningkatkan peluang karier Anda. Buka profil Anda untuk memantau badge yang telah Anda peroleh.
Dapatkan badge keahlian dengan menyelesaikan kursus Mengimplementasikan Alur Kerja Olahpesan dan Otomatisasi Berbasis Peristiwa, tempat Anda mempelajari cara menggunakan Pub/Sub melalui Konsol Cloud, cara tugas Cloud Scheduler dapat menghemat tenaga Anda, dan cara Pub/Sub Lite dapat menghemat uang Anda dalam proses transfer peristiwa bervolume tinggi.
Dapatkan Badge Keahlian dengan menyelesaikan kursus Men-deploy dan Mengelola Aplikasi di Google App Engine, yang membahas cara menggunakan App Engine dengan Python, Go, dan PHP.
Dapatkan badge keahlian dengan menyelesaikan kursus Pembuatan Aplikasi dengan AppSheet. Dalam kursus ini, Anda akan mempelajari cara membangun, mengonfigurasi, dan memublikasikan aplikasi menggunakan AppSheet.
Dapatkan badge keahlian dengan menyelesaikan kursus badge keahlian Panduan Awal Menggunakan Gateway API, dan pelajari cara menggunakan Gateway API untuk men-deploy, mengamankan, dan mengelola API dengan gateway yang terkelola sepenuhnya.
Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow 22% over the next five years, much faster than the average for all occupations. And demand for machine learning jobs is expected to grow 75%. Want to grow your skills and take advantage of the opportunity? Level up your tech skills and get hands-on experience in the Arcade, with labs that help you learn and earn your first Google Cloud credential. No experience required.
Dapatkan badge keahlian dengan menyelesaikan kursus Men-streaming Analytics ke BigQuery, tempat Anda menggunakan Pub/Sub, Dataflow, dan BigQuery secara bersamaan untuk melakukan streaming data untuk analisis.
Selesaikan badge keahlian tingkat menengah Mengoptimalkan Biaya untuk Google Kubernetes Engine untuk menunjukkan keterampilan dalam hal berikut: membuat dan mengelola cluster multi-tenant, memantau penggunaan resource berdasarkan namespace, mengonfigurasi penskalaan otomatis pada cluster dan pod untuk tujuan efisiensi, menyiapkan load balancing untuk mengoptimalkan distribusi resource, dan menerapkan pemeriksaan keaktifan serta kesiapan untuk memastikan kondisi aplikasi dan efektivitas biaya.
Selesaikan kursus badge keahlian pengantar Membangun Objek LookML di Looker untuk menunjukkan keterampilan dalam hal berikut: membuat dimensi dan ukuran, tabel turunan, serta tampilan baru; menetapkan filter ukuran dan berdasarkan persyaratan; memperbarui dimensi dan ukuran; membangun dan menyempurnakan Eksplorasi; menggabungkan tabel ke Eksplorasi yang ada; dan memutuskan objek yang akan dibuat berdasarkan persyaratan bisnis.
Earn a skill badge by completing the Automate Interactions with Contact Center AI quest, where you will learn about the features of Contact Center AI, including how to Build a virtual agent, Design conversation flows for your virtual agent; Add a phone gateway to your virtual agent; Use Dialogflow for troubleshooting; Review logs and debug your virtual agent. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
Dapatkan badge keahlian tingkat menengah dengan menyelesaikan kursus Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI, tempat Anda akan belajar cara menggunakan platform Vertex AI Google Cloud, AutoML, dan layanan pelatihan kustom untuk melatih, mengevaluasi, menyesuaikan, menjelaskan, serta men-deploy model machine learning. Kursus badge keahlian ini diperuntukkan bagi Data Scientist dan Engineer Machine Learning profesional. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan Badge keahlian ini, dan challenge lab penilaian akhir, untuk menerima badge digital yang dapat Anda bagikan ke jaringan Anda.
Welcome to Qwiklabs Trivia for April! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the April badge.
Description: According to IDC, by 2026, 7 PB of data will be generated per second globally. But what you *do* with the data is what matters. Data is the heart of digital transformation and offers incredible opportunities for organizations to accelerate the most strategic business outcomes, like revenue and productivity. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud's powerful data tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
Selesaikan badge keahlian pengantar Menyiapkan Data untuk Dasbor dan Laporan Looker untuk menunjukkan keterampilan dalam hal berikut: memfilter, mengurutkan, dan melakukan pivot pada data; menggabungkan hasil dari sejumlah Eksplorasi Looker; serta menggunakan fungsi dan operator untuk membangun dasbor dan laporan Looker untuk analisis dan visualisasi data.
Cloud Storage, Cloud Functions, dan Cloud Pub/Sub adalah layanan Google Cloud Platform yang dapat digunakan untuk menyimpan, memproses, dan mengelola data. Ketiga layanan dapat digunakan bersama untuk membuat berbagai aplikasi berbasis data. Dalam badge keahlian ini, Anda akan menggunakan Cloud Storage untuk menyimpan gambar, Cloud Functions untuk memproses gambar, dan Cloud Pub/Sub untuk mengirim gambar ke aplikasi lain.
More than 90% of IT leaders say they're looking to grow their cloud environments in the next several years, yet more than 80% of those same leaders identified a lack of skills as a barrier to growth. This means that tech skills (particularly cloud skills!) are in high demand. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential. No experience required.
Selesaikan badge keahlian pengantar Memantau dan Mengelola Resource Google Cloud untuk menunjukkan keterampilan dalam hal berikut: memberikan dan mencabut izin IAM; menginstal agen logging serta pemantauan; membuat, men-deploy, dan menguji fungsi Cloud Run berbasis peristiwa.
In this course, you learn how to create APIs that utilize multiple services and how you can use custom code on Apigee. You will also learn about fault handling, and how to share logic between proxies. You learn about traffic management and caching. You also create a developer portal, and publish your API to the portal. You learn about logging and analytics, as well as CI/CD and the different deployment models supported by Apigee. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the third and final course of the Developing APIs with the Apigee API Platform course series.
In this course, you learn how to secure your APIs. You explore the security concerns you will encounter for your APIs. You learn about OAuth, the primary authorization method for REST APIs. You will learn about JSON Web Tokens (JWTs) and federated security. You also learn about securing against malicious requests, safely sending requests across a public network, and how to secure your data for users of Apigee. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the second course of the Developing APIs with the Apigee API Platform series. After completing this course, enroll in the API Development with the Apigee API Platform course.
In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API lifecycle, and how the Apigee API platform helps you manage all aspects of the lifecycle. You learn how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lessons, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with the Apigee API Platform series. After completing this course, enroll in the API Security with the Apigee API Platform course.
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets. This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
Organisasi dalam berbagai ukuran memanfaatkan kekuatan dan fleksibilitas cloud untuk mentransformasi cara mereka beroperasi. Namun, pengelolaan dan penskalaan resource cloud secara efektif bisa menjadi tugas yang rumit. Kursus ini membahas konsep dasar operasi modern, keandalan, dan ketahanan di cloud, serta cara Google Cloud dapat membantu mendukung upaya ini. Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.
Banyak perusahaan tradisional menggunakan sistem dan aplikasi lama yang tidak dapat mengikuti ekspektasi pelanggan modern. Para pemimpin bisnis sering kali harus memilih antara mempertahankan sistem IT lama mereka atau berinvestasi pada produk dan layanan baru. Kursus ini mengeksplorasi tantangan tersebut dan menawarkan solusi untuk mengatasinya dengan menggunakan teknologi cloud. Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.
Teknologi cloud adalah aset yang sangat canggih. Jika dipasangkan dengan data, teknologi ini akan menjadi pendorong inovasi dan peningkatan pengalaman pelanggan. Menjelajahi Transformasi Data dengan Google Cloud membahas cara organisasi memanfaatkan cloud untuk membuat data mereka lebih mudah diakses, ditindaklanjuti, dan bernilai. Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.
Transformasi digital adalah perjalanan penting bagi organisasi modern, dan membangun dasar yang kuat dalam cloud computing merupakan langkah pertama untuk mendorong inovasi yang bermakna. Transformasi Digital dengan Google Cloud memperkenalkan teknologi inti dan framework strategis yang membantu organisasi memodernisasi operasi mereka. Kursus ini membahas konsep cloud dasar, infrastruktur jaringan global, dan model tanggung jawab bersama untuk membantu para pemimpin menentukan jalur mereka ke cloud dengan percaya diri. Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.
Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Selesaikan badge keahlian Membangun Infrastruktur dengan Terraform di Google Cloud tingkat menengah untuk menunjukkan keterampilan dalam hal berikut: Prinsip Infrastruktur sebagai Kode (IaC) menggunakan Terraform, penyediaan dan pengelolaan resource Google Cloud dengan konfigurasi Terraform, pengelolaan status yang efektif (lokal dan jarak jauh), serta modularisasi kode Terraform agar dapat digunakan kembali dan diatur.
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
Selamat datang di kursus Mulai Menggunakan Google Kubernetes Engine. Jika Anda tertarik dengan Kubernetes, lapisan software yang berada di antara aplikasi Anda dan infrastruktur hardware Anda, maka Anda berada di tempat yang tepat! Google Kubernetes Engine menghadirkan Kubernetes sebagai layanan terkelola di Google Cloud. Tujuan kursus ini adalah untuk memperkenalkan dasar-dasar Google Kubernetes Engine, atau GKE, sebagaimana umumnya disebut, dan cara membuat aplikasi dalam container dan menjalankannya di Google Cloud. Kursus ini dimulai dengan pengantar dasar tentang Google Cloud, lalu dilanjutkan dengan ringkasan container dan Kubernetes, arsitektur Kubernetes, dan operasi Kubernetes.
Kursus akselerasi sesuai permintaan ini memperkenalkan peserta pada infrastruktur dan layanan platform yang komprehensif dan fleksibel yang disediakan oleh Google Cloud. Melalui kombinasi video materi edukasi, demo, dan lab interaktif, peserta akan mengeksplorasi dan men-deploy berbagai elemen solusi, termasuk membuat interkoneksi jaringan yang aman, load balancing, penskalaan otomatis, otomatisasi infrastruktur, serta layanan terkelola.
Kursus akselerasi sesuai permintaan ini memperkenalkan peserta pada infrastruktur dan layanan platform yang komprehensif dan fleksibel yang disediakan oleh Google Cloud, dengan fokus pada Compute Engine. Melalui kombinasi video materi edukasi, demo, dan lab praktis, peserta akan mengeksplorasi dan men-deploy berbagai elemen solusi, termasuk komponen infrastruktur seperti jaringan, sistem, dan layanan aplikasi. Kursus ini juga membahas cara men-deploy solusi praktis termasuk kunci enkripsi yang disediakan pelanggan, pengelolaan keamanan dan akses, kuota dan penagihan, serta pemantauan resource.
Kursus akselerasi sesuai permintaan ini memperkenalkan peserta pada infrastruktur dan layanan platform yang komprehensif dan fleksibel yang disediakan oleh Google Cloud, dengan fokus pada Compute Engine. Melalui kombinasi video materi edukasi, demo, dan lab interaktif, peserta akan mengeksplorasi dan men-deploy berbagai elemen solusi, termasuk komponen infrastruktur seperti jaringan, virtual machine, dan layanan aplikasi. Anda akan mempelajari cara menggunakan Google Cloud melalui konsol dan Cloud Shell. Anda juga akan mempelajari peran arsitek cloud, pendekatan desain infrastruktur, dan konfigurasi networking virtual dengan Virtual Private Cloud (VPC), Project, Jaringan, Subnetwork, alamat IP, Rute, dan Aturan firewall.
Mempelajari cara membuat panduan belajar yang dipersonalisasi menggunakan Gemini Notebook untuk menghadapi ujian sertifikasi Associate Cloud Engineer. Anda akan meninjau kembali fitur Gemini Notebook, membuat notebook di Gemini Notebook, dan mempelajari cara menggunakan panduan belajar untuk berlatih menghadapi ujian sertifikasi.
Dasar-Dasar Google Cloud: Infrastruktur Inti memperkenalkan konsep dan terminologi penting untuk bekerja dengan Google Cloud. Melalui video dan lab interaktif, kursus ini menyajikan dan membandingkan banyak layanan komputasi dan penyimpanan Google Cloud, bersama dengan resource penting dan alat pengelolaan kebijakan.
These labs help you get started with the skills you need to develop and train ML models. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
These labs help you get started with the skills you need to analyze sports-related data. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
Welcome to the Learn to Earn Cloud Data Challenge! These labs help you get started with data analysis skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
Selesaikan badge keahlian Mengimplementasikan Alur Kerja DevOps di Google Cloud tingkat menengah untuk menunjukkan keterampilan dalam hal berikut: membuat dan mengelola repositori git, meluncurkan, mengelola, dan menskalakan deployment di Google Kubernetes Engine (GKE), serta merancang pipeline CI/CD yang mengotomatiskan pembangunan dan deployment image container ke GKE.
Selesaikan badge keahlian Men-deploy Aplikasi Kubernetes di Google Cloud tingkat menengah untuk menunjukkan keterampilan dalam hal berikut ini: mengonfigurasi dan membangun image container Docker, membuat dan mengelola cluster Google Kubernetes Engine (GKE), memanfaatkan kubectl untuk pengelolaan cluster yang efisien, dan men-deploy aplikasi Kubernetes dengan praktik continuous delivery (CD) yang andal.
Earn a skill badge by completing the Secure Workloads in Google Kubernetes Engine quest, where you learn about security at scale on Google Kubernetes Engine (GKE) including how to: migrate containers from virtual machines to Google Kubernetes Engine, restrict network connections in GKE using firewalls and Network Policies, use role-based access controls (RBAC) in GKE, use Binary Authorization for security controls of your images, secure applications in GKE using 3 access levels: host, network, Kubernetes API, and harden GKE cluster configurations. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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.
Selesaikan badge keahlian tingkat menengah Menerapkan Dasar-Dasar Keamanan Cloud di Google Cloud untuk menunjukkan kemahiran dalam hal berikut: membuat dan menetapkan peran dengan Identity and Access Management (IAM); membuat dan mengelola akun layanan; memungkinkan konektivitas pribadi di seluruh jaringan virtual private cloud (VPC); membatasi akses aplikasi menggunakan Identity-Aware Proxy; mengelola kunci dan data terenkripsi dengan Cloud Key Management Service (KMS); dan membuat cluster Kubernetes pribadi.
Keamanan adalah fitur layanan Google Cloud yang tidak dapat dikompromikan, dan Google Cloud telah mengembangkan alat khusus untuk memastikan keamanan dan identitas di seluruh project Anda. Dalam kursus pengantar ini, Anda akan melakukan praktik langsung dengan Layanan Identity and Access Management (IAM) Google Cloud, yang merupakan layanan utama untuk mengelola akun pengguna dan virtual machine. Anda akan mendapatkan pengalaman dengan keamanan jaringan dengan menyediakan VPC dan VPN, serta mempelajari alat-alat yang tersedia untuk mendapatkan perlindungan dari ancaman keamanan dan kebocoran data.
Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.
Dapatkan badge keahlian dengan menyelesaikan kursus Arsitektur Cloud: Merancang, Mengimplementasikan, dan Mengelola untuk menunjukkan keahlian Anda dalam hal berikut: men-deploy situs yang dapat diakses secara publik menggunakan server web Apache, mengonfigurasi VM Compute Engine menggunakan skrip startup, mengonfigurasi RDP yang aman menggunakan Bastion host Windows dan aturan firewall, membangun dan men-deploy image Docker ke cluster Kubernetes serta kemudian mengupdatenya, membuat instance CloudSQL, dan mengimpor database MySQL. Kursus badge keahlian ini merupakan referensi yang bagus untuk memahami topik yang akan muncul di ujian sertifikasi Professional Cloud Architect Tersertifikasi Google Cloud.
TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
Dapatkan badge keahlian tingkat lanjut dengan menyelesaikan kursus tentang Menggunakan API Machine Learning di Google Cloud yang membahas fitur dasar machine learning dan dan teknologi AI berikut: Cloud Vision API, Cloud Translation API, dan Cloud Natural Language API.
It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Selesaikan badge keahlian pengantar Menyiapkan Data untuk ML API di Google Cloud untuk menunjukkan keterampilan Anda dalam hal berikut: menghapus data dengan Dataprep by Trifacta, menjalankan pipeline data di Dataflow, membuat cluster dan menjalankan tugas Apache Spark di Managed Service for Apache Spark, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API.
Big data, machine learning, dan kecerdasan buatan menjadi topik komputasi yang populer saat ini, tetapi bidang tersebut sangat terspesialisasi dan materi pengantarnya sulit diperoleh. Untungnya, Google Cloud menyediakan layanan yang mudah digunakan dalam bidang tersebut, dan melalui kursus tingkat pengantar ini, Anda dapat mengambil langkah pertama dengan alat seperti BigQuery, Cloud Speech API, dan Video Intelligence.
Dapatkan badge keahlian pengantar dengan menyelesaikan kursus badge keahlian Membangun Situs di Google Cloud. Kursus ini didasarkan pada serial Get Cooking in Cloud dan mencakup:Men-deploy situs di Cloud RunMenghosting aplikasi web di Compute EngineMembuat, men-deploy, dan menskalakan situs Anda di Google Kubernetes EngineBermigrasi dari aplikasi monolitik ke arsitektur microservice menggunakan Cloud Build
Selesaikan badge keahlian tingkat menengah Membangun Data Warehouse dengan BigQuery untuk menunjukkan keterampilan Anda dalam hal berikut: menggabungkan data untuk membuat tabel baru, memecahkan masalah penggabungan, menambahkan data dengan union, membuat tabel berpartisi tanggal, serta menggunakan JSON, array, dan struct di BigQuery.
Selesaikan badge keahlian tingkat menengah Rekayasa Data untuk Pembuatan Model Prediktif dengan BigQuery ML untuk menunjukkan keterampilan Anda dalam hal berikut: membangun pipeline transformasi data ke BigQuery dengan Dataprep by Trifacta; menggunakan Cloud Storage, Dataflow, dan BigQuery untuk membangun alur kerja ekstrak, transformasi, dan pemuatan (ETL); serta membangun model machine learning menggunakan BigQuery ML.
Selesaikan badge keahlian tingkat menengah Membuat Model ML dengan BigQuery ML untuk menunjukkan keterampilan dalam hal berikut: membuat dan mengevaluasi model machine learning dengan BigQuery ML untuk membuat prediksi data.
Selesaikan badge keahlian pengantar Mendapatkan Insight dari Data BigQuery untuk menunjukkan keterampilan dalam hal berikut: menulis kueri SQL, membuat kueri tabel publik, memuat sampel data ke dalam BigQuery, memecahkan masalah error sintaksis umum dengan validator kueri di BigQuery, dan membuat laporan di Data Studio dengan menghubungkannya ke data BigQuery.
Selesaikan badge keahlian Mengembangkan Aplikasi Serverless di Cloud Run untuk menunjukkan keterampilan Anda dalam hal berikut: mengintegrasikan Cloud Run dengan Cloud Storage untuk pengelolaan data, membangun sistem asinkron yang tangguh menggunakan Cloud Run dan Pub/Sub, membuat gateway REST API yang didukung Cloud Run, dan membangun serta men-deploy layanan di Cloud Run.
Selesaikan badge keahlian tingkat menengah Mengembangkan Aplikasi Serverless dengan Firebase untuk menunjukkan keterampilan dalam hal berikut ini: membuat arsitektur dan membangun aplikasi web serverless dengan Firebase, memanfaatkan pengelolaan database Firestore, mengotomatiskan proses deployment menggunakan Cloud Build, dan mengintegrasikan fungsi Asisten Google ke dalam aplikasi.
Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
Selesaikan badge keahlian pengantar Memantau dan Membuat Log dengan Google Cloud Observability untuk menunjukkan kemahiran dalam hal berikut: memantau virtual machine di Compute Engine, menggunakan Cloud Monitoring untuk pengawasan multi-project, memperluas kemampuan pemantauan dan logging ke Cloud Functions, membuat dan mengirimkan metrik aplikasi kustom, serta mengonfigurasi pemberitahuan Cloud Monitoring berdasarkan metrik kustom.
Dapatkan badge keahlian dengan menyelesaikan kursus Mengembangkan Jaringan Google Cloud Anda yang berisi pelajaran tentang berbagai cara untuk men-deploy dan memantau aplikasi, termasuk cara: menjelajahi peran IAM dan menambahkan/menghapus akses project, membuat jaringan VPC, men-deploy dan memantau VM Compute Engine, menulis kueri SQL, men-deploy dan memantau VM di Compute Engine, serta men-deploy aplikasi menggunakan Kubernetes dengan beberapa pendekatan deployment.
Dapatkan badge keahlian dengan menyelesaikan kursus Membangun Jaringan Google Cloud yang Aman yang membahas resource yang terkait dengan beberapa jaringan untuk membangun, menskalakan, dan mengamankan aplikasi Anda di Google Cloud.
Dapatkan badge keahlian dengan menyelesaikan kursus Menyiapkan Lingkungan Pengembangan Aplikasi di Google Cloud, yang memungkinkan Anda mempelajari cara membangun dan menghubungkan infrastruktur cloud yang berpusat pada penyimpanan menggunakan kemampuan dasar teknologi berikut: Cloud Storage, Identity and Access Management, Cloud Functions, dan Pub/Sub.
Selesaikan badge keahlian pengantar Mengimplementasikan Cloud Load Balancing untuk Compute Engine untuk menunjukkan keterampilan dalam hal berikut: membuat dan men-deploy virtual machine di Compute Engine serta mengonfigurasi load balancer aplikasi dan jaringan.
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. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…
Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.
Bukan rahasia lagi bahwa machine learning adalah salah satu bidang yang berkembang paling cepat di ranah teknologi, dan Google Cloud Platform telah berperan penting dalam memajukan pengembangannya. Dengan berbagai API, GCP memiliki alat untuk hampir semua tugas machine learning. Dalam kursus pengantar ini, Anda akan melakukan praktik langsung dengan machine learning sebagaimana diterapkan pada pemrosesan bahasa, melalui serangkaian lab yang akan memungkinkan Anda mengekstrak entity dari teks, melakukan analisis sentimen dan sintaksis, serta menggunakan Speech to Text API untuk melakukan transkripsi.
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.
Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
Big data, machine learning, and scientific data? It sounds like the perfect match. In this course, you will get hands-on practice with GCP services like BigQuery, Managed Service for Apache Spark, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
Ingin membangun model ML dalam hitungan menit, bukan jam, hanya dengan menggunakan SQL? BigQuery ML memperluas akses machine learning dengan memungkinkan analis data membuat, melatih, mengevaluasi, dan memprediksi sesuatu dengan model machine learning menggunakan alat serta keterampilan SQL yang ada. Dalam rangkaian lab ini, Anda akan bereksperimen dengan beragam jenis model dan mempelajari ciri-ciri model yang baik.
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
Dalam kursus ini, Anda akan mempelajari empat arsitektur situs Google Cloud untuk memastikan situs Anda tersedia dan skalabel. Setelah menyelesaikan kursus ini, selesaikan challenge lab tambahan di akhir kursus Membangun Situs di Google Cloud untuk menerima badge digital eksklusif Google Cloud. Kursus ini didasarkan pada serial video Get Cooking in Cloud.
The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
With Google Assistant part of over a billion consumer devices, 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. 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.
Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
Dapatkan keunggulan kompetitif melalui DevOps. DevOps adalah inisiatif organisasi dan budaya yang bertujuan meningkatkan kecepatan pengiriman software, meningkatkan keandalan layanan, dan membangun kepemilikan bersama di antara para pemangku kepentingan software. Dalam kursus ini, Anda akan mempelajari cara menggunakan Google Cloud untuk meningkatkan kecepatan, stabilitas, ketersediaan, dan keamanan kemampuan pengiriman software Anda. DevOps Research and Assessment telah bergabung dengan Google Cloud. Bagaimana performa tim Anda? Ikuti kuis pilihan ganda yang berisi lima pertanyaan ini dan temukan jawabannya.
Quest level dasar ini berbeda dengan penawaran Qwiklabs lainnya. Semua lab yang termasuk dalam level ini telah diseleksi untuk membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Professional Cloud Architect . Dari IAM, hingga jaringan, dan penerapan Kubernetes Engine, quest ini tersusun atas sejumlah lab spesifik yang akan menguji pengetahuan Anda tentang GCP. Harap diketahui bahwa, meskipun praktik dengan lab ini akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga mempelajari panduan ujian serta referensi persiapan lain yang tersedia.
Kursus ini paling cocok diikuti oleh orang yang berprofesi di bidang teknologi atau keuangan yang bertanggung jawab mengelola biaya-biaya Google Cloud. Anda akan mempelajari cara menyiapkan akun penagihan, mengatur resource, dan mengelola izin akses penagihan. Di bagian lab praktik, Anda akan mempelajari cara melihat invoice, menganalisis data penagihan dengan BigQuery atau Google Spreadsheet, dan membuat dasbor penagihan kustom dengan Data Studio. Referensi yang dibuat untuk link di video-video tersebut dapat diakses di dokumen Resource Tambahan ini.
Kursus pengantar ini unik dibandingkan penawaran kursus lainnya. Semua lab dalam kursus ini telah diseleksi untuk membekali profesional IT dengan praktik langsung terkait berbagai topik dan layanan yang muncul di Sertifikasi Associate Cloud Engineer yang Tersertifikasi Google Cloud. Dari IAM, networking, hingga deployment Kubernetes Engine, kursus ini terdiri atas beberapa lab khusus yang akan menguji pengetahuan Anda terkait Google Cloud. Perlu diketahui bahwa meskipun praktik dalam lab akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga meninjau panduan ujian dan referensi persiapan lainnya yang tersedia.
Kubernetes adalah sistem orkestrasi container paling populer, dan Google Kubernetes Engine dirancang secara khusus untuk mendukung deployment Kubernetes terkelola di Google Cloud. Dalam kursus tingkat lanjut ini, Anda akan mendapatkan praktik langsung dalam mengonfigurasi Image Docker, container, serta men-deploy aplikasi Kubernetes Engine yang sepenuhnya lengkap dan siap produksi. Kursus ini akan mengajari Anda keterampilan praktis yang diperlukan untuk mengintegrasikan orkestrasi container ke dalam alur kerja Anda sendiri. Apakah Anda sedang mencari challenge lab interaktif untuk menunjukkan keterampilan Anda dan menguji pengetahuan yang dimiliki? Setelah menyelesaikan kursus ini, selesaikan Challenge Lab tambahan di akhir kursus Men-deploy Aplikasi Kubernetes di Google Cloud untuk menerima badge digital eksklusif Google Cloud.
Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
Jika Anda adalah developer cloud pemula yang mencari praktik langsung di luar Google Cloud Essentials, kursus ini cocok untuk Anda. Anda akan mendapatkan pengalaman praktis melalui lab yang mendalami Cloud Storage dan layanan aplikasi utama lainnya seperti Monitoring dan Cloud Functions. Anda akan mengembangkan keahlian berharga yang dapat diterapkan untuk inisiatif Google Cloud apa pun.
Dalam kursus tingkat pemula ini, Anda akan mendapatkan praktik langsung dengan alat dan layanan dasar Google Cloud. Video opsional disediakan untuk memberikan konteks dan ulasan lebih lanjut mengenai konsep-konsep yang dibahas dalam lab ini. Dasar-Dasar Google Cloud adalah kursus pertama yang direkomendasikan bagi peserta kursus Google Cloud— Anda bisa mengikutinya dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan mendapatkan pengalaman praktis yang dapat diterapkan pada project Google Cloud pertama Anda setelah menyelesaikan kursus ini. Mulai dari menulis perintah Cloud Shell dan men-deploy virtual machine pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar Google Cloud merupakan pengantar utama untuk fitur dasar platform ini.