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Aditya Fataha Dwijaya

Menjadi anggota sejak 2024

Gold League

64075 poin
Create and Manage AlloyDB Instances Earned Sep 14, 2024 EDT
Membangun Infrastruktur dengan Terraform di Google Cloud Earned Sep 13, 2024 EDT
Monitor and Manage Google Cloud Resources Earned Sep 13, 2024 EDT
Manage Kubernetes in Google Cloud Earned Sep 13, 2024 EDT
Perform Predictive Data Analysis in BigQuery Earned Sep 13, 2024 EDT
Analyze Images with the Cloud Vision API Earned Sep 13, 2024 EDT
Build LookML Objects in Looker Earned Sep 13, 2024 EDT
Mengintegrasikan Aplikasi dengan Gemini 1.0 Pro di Google Cloud Earned Sep 13, 2024 EDT
Gemini untuk Data Scientist dan Analis Earned Sep 13, 2024 EDT
Gemini untuk Developer Aplikasi Earned Sep 13, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud Earned Sep 12, 2024 EDT
Production Machine Learning Systems Earned Sep 12, 2024 EDT
Applying Machine Learning to your Data with Google Cloud Earned Sep 12, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Sep 12, 2024 EDT
Pengantar AI dan Machine Learning di Google Cloud Earned Sep 11, 2024 EDT
Managing Machine Learning Projects with Google Cloud Earned Sep 11, 2024 EDT
Intro to ML: Image Processing Earned Sep 10, 2024 EDT
Pengantar ML: Pemrosesan Bahasa Earned Sep 10, 2024 EDT
Dasar pengukuran: Data, ML, AI Earned Sep 10, 2024 EDT
Mendapatkan Insight dari Data BigQuery Earned Sep 10, 2024 EDT
Penjelajah AI Generatif - Vertex AI Earned Sep 10, 2024 EDT
Level 3: GenAIus Travel Guides Earned Jul 15, 2024 EDT
Analyze Speech and Language with Google APIs Earned Jul 15, 2024 EDT
Classify Images with TensorFlow on Google Cloud Earned Jul 15, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI Earned Jul 15, 2024 EDT
Analyze Sentiment with Natural Language API Earned Jul 15, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned Jul 15, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned Jul 15, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned Jul 15, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned Jul 15, 2024 EDT
Get Started with Cloud Storage Earned Jul 15, 2024 EDT
Level 1: Cloud Connections Earned Jul 14, 2024 EDT
Menyiapkan Jaringan Google Cloud Earned Jul 14, 2024 EDT
Menyiapkan Data untuk ML API di Google Cloud Earned Jul 14, 2024 EDT
The Arcade Trivia June 2024 Week 4 Earned Jul 12, 2024 EDT
The Arcade Trivia June 2024 Week 3 Earned Jul 12, 2024 EDT
Dasar-Dasar Google Cloud Compute Earned Jul 11, 2024 EDT
Menyiapkan Lingkungan Pengembangan Aplikasi di Google Cloud Earned Jul 10, 2024 EDT
Mengimplementasikan Cloud Load Balancing untuk Compute Engine Earned Jul 10, 2024 EDT
Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI Earned Jul 9, 2024 EDT
The Arcade Trivia June 2024 Week 2 Earned Jul 9, 2024 EDT
The Arcade Trivia June 2024 Week 1 Earned Jul 9, 2024 EDT
Mitigate Threats and Vulnerabilities with Security Command Center Earned Jul 7, 2024 EDT
Mengembangkan Aplikasi Serverless dengan Firebase Earned Jul 7, 2024 EDT
Arsitektur Cloud: Merancang, Mengimplementasikan, dan Mengelola Earned Jul 7, 2024 EDT
3 Cara Menggunakan App Engine Earned Jul 6, 2024 EDT
Pengantar AI Generatif Earned Jul 6, 2024 EDT
Level 3: GenAIus Travels Earned Jul 5, 2024 EDT
The Arcade June Speedrun Earned Jul 5, 2024 EDT
Level 2: Develop and Deploy Earned Jul 5, 2024 EDT
Networking in Google Cloud: Hands-On Practice Earned Jul 4, 2024 EDT
Membangun Jaringan Google Cloud yang Aman Earned Jul 4, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud Earned Jul 3, 2024 EDT
Menerapkan Dasar-Dasar Keamanan Cloud di Google Cloud Earned Jul 3, 2024 EDT
Level 1: Cloud Networking Earned Jul 2, 2024 EDT

Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.

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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.

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Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.

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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.

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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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Kursus singkat tentang cara mengintegrasikan aplikasi dengan model Gemini 1.0 Pro di Google Cloud ini akan membantu Anda memahami Gemini API dan model AI generatif. Kursus ini menjelaskan cara mengakses model Gemini 1.0 Pro dan Gemini 1.0 Pro Vision dari kode. Anda dapat menguji kemampuan model dengan perintah teks, gambar, dan video dari aplikasi.

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Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu menganalisis data pelanggan dan memprediksi penjualan produk. Anda juga akan mempelajari cara mengidentifikasi, mengategorikan, dan mengembangkan pelanggan baru menggunakan data pelanggan di BigQuery. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan analisis data dan alur kerja machine learning. Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.

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Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator berteknologi AI generatif dari Google Cloud, membantu developer membangun aplikasi. Anda akan mempelajari cara memanfaatkan Gemini untuk menjelaskan kode, merekomendasikan layanan Google Cloud, dan membuat kode untuk aplikasi Anda. Dengan lab interaktif, Anda akan merasakan peningkatan alur kerja pengembangan aplikasi menggunakan Gemini. Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.

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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

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This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators. This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.

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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.

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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.

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Kursus ini memperkenalkan penawaran AI dan machine learning (ML) di Google Cloud yang membangun project AI prediktif dan generatif. Kursus ini akan membahas teknologi, produk, dan alat yang tersedia di seluruh siklus proses data ke AI, yang mencakup fondasi, pengembangan, dan solusi AI. Kursus ini bertujuan membantu data scientist, developer AI, dan engineer ML meningkatkan keterampilan dan pengetahuan mereka melalui pengalaman belajar yang menarik dan latihan praktik langsung.

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Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.

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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.

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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.

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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.

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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 Looker Studio dengan menghubungkannya ke data BigQuery.

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Kursus Penjelajah AI Generatif - Vertex AI adalah sekumpulan lab yang membahas cara menggunakan AI Generatif di Google Cloud. Melalui lab ini, Anda akan mempelajari cara menggunakan model dalam rangkaian Vertex AI PaLM API, termasuk text-bison, chat-bison, dan textembedding-gecko. Anda juga akan mempelajari desain perintah, praktik terbaik, serta cara menggunakannya untuk pencarian ide, klasifikasi teks, ekstraksi teks, peringkasan teks, dan banyak lagi. Anda juga akan mempelajari cara menyesuaikan model dasar dengan melatihnya melalui pelatihan kustom Vertex AI dan men-deploy-nya ke endpoint Vertex AI.

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Follow your favorite soccer/football stars as they go for glory in Germany with GenAIus Travel Guides and learn how to interact with chat applications, master prompt engineering, understand AI context, and work with Generative AI—all with no prior experience—and earn an exclusive Google Cloud Generative AI Credential to showcase your skills!

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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.

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Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.

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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.

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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This third course covers cloud automation and management tools and building secure networks.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.

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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.

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Constant communications are a thing in the Cloud, with networking connecting all your resources and services. Discover how to manage and optimize these communications using Google Cloud's powerful networking tools, and earn an exclusive Google Cloud Credential—no prior experience needed!

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Dapatkan badge keahlian dengan menyelesaikan kursus Menyiapkan Jaringan Google Cloud, untuk mempelajari cara menjalankan tugas-tugas networking dasar di Google Cloud Platform, yakni membuat jaringan kustom, menambahkan aturan firewall subnet, lalu membuat VM dan menguji latensi saat VM berkomunikasi satu sama lain.

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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 Dataproc, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API.

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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!

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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!

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Dapatkan badge keahlian dengan menyelesaikan quest Dasar-Dasar Google Cloud Compute, dan pelajari cara menggunakan virtual machine (VM), persistent disk, dan server web menggunakan Compute Engine.

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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.

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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.

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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.

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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!

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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!

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Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge course to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.

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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.

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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. Badge keahlian merupakan badge digital eksklusif yang diberikan oleh Google Cloud sebagian pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursu…

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Dapatkan badge keahlian dengan menyelesaikan kursus 3 Cara Menggunakan App Engine tempat Anda mempelajari cara menggunakan App Engine dengan Python, Go, dan PHP.

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Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.

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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!

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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.

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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!

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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.

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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.

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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.

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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.

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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!

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