Attention Mechanism - Bahasa Indonesia
Earned Nov 2, 2024 EDT
Introduction to Image Generation - Bahasa Indonesia
Earned Nov 2, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned Mei 18, 2024 EDT
Build a Data Mesh with Dataplex
Earned Mei 15, 2024 EDT
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Mei 14, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Mei 14, 2024 EDT
Google Cloud Data Solutions for the Public Sector
Earned Mei 5, 2024 EDT
Achieving Advanced Insights with BigQuery
Earned Mei 4, 2024 EDT
BigQuery Fundamentals for Redshift Professionals
Earned Apr 28, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Apr 27, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Apr 27, 2024 EDT
Build a Data Warehouse with BigQuery
Earned Apr 26, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned Apr 24, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Apr 22, 2024 EDT
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Apr 22, 2024 EDT
Building Batch Data Pipelines on Google Cloud
Earned Apr 20, 2024 EDT
Deploy and Manage Cloud Environments with Google Cloud
Earned Apr 19, 2024 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Apr 15, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 14, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned Apr 14, 2024 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Apr 13, 2024 EDT
Getting Started with Google Kubernetes Engine
Earned Apr 7, 2024 EDT
Reliable Google Cloud Infrastructure: Design and Process - Bahasa Indonesia
Earned Apr 6, 2024 EDT
Essential Google Cloud Infrastructure: Core Services - Bahasa Indonesia
Earned Apr 2, 2024 EDT
Essential Google Cloud Infrastructure: Foundation - Bahasa Indonesia
Earned Apr 1, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Bahasa Indonesia
Earned Mar 31, 2024 EDT
Migrating MySQL data to Cloud SQL using Database Migration Service
Earned Mar 30, 2024 EDT
Build Infrastructure with Terraform on Google Cloud
Earned Mar 25, 2024 EDT
Set up and Configure a Cloud Environment in Google Cloud
Earned Mar 23, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Mar 22, 2024 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Mar 21, 2024 EDT
Implement Load Balancing on Compute Engine
Earned Mar 21, 2024 EDT
Google Cloud Essentials
Earned Mar 19, 2024 EDT
Dalam kursus ini Anda akan diperkenalkan dengan mekanisme atensi, yakni teknik efektif yang membuat jaringan neural berfokus pada bagian tertentu urutan input. Anda akan mempelajari cara kerja atensi, cara penggunaannya untuk meningkatkan performa berbagai tugas machine learning, termasuk terjemahan mesin, peringkasan teks, dan menjawab pertanyaan.
Pelajari lebih lanjut
Kursus ini memperkenalkan model difusi, yaitu kelompok model machine learning yang belakangan ini menunjukkan potensinya dalam ranah pembuatan gambar. Model difusi mengambil inspirasi dari fisika, khususnya termodinamika. Dalam beberapa tahun terakhir, model difusi menjadi populer baik di dunia industri maupun penelitian. Model difusi mendasari banyak alat dan model pembuatan gambar yang canggih di Google Cloud. Kursus ini memperkenalkan Anda pada teori yang melandasi model difusi dan cara melatih serta men-deploy-nya di Vertex AI.
Pelajari lebih lanjut
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started.
Pelajari lebih lanjut
Complete the introductory Build a Data Mesh with Dataplex skill badge to demonstrate skills in the following: building a data mesh with Dataplex to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Dataplex. 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.
Pelajari lebih lanjut
In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.
Pelajari lebih lanjut
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Pelajari lebih lanjut
Enterprise data sharing made easy with Dataplex and Analytics Hub
Learn how to share data securely in your lakehouse with minimized data duplication and more data governance through Dataplex and Analytics Hub - enterprise data management made easy.
Creating Data Pipelines with Data Fusion
In this session, we will explore using Data Fusion to create code-free point and click pipelines that can ETL high-volumes of data with support for popular data sources, including file systems and object stores, relational and NoSQL databases, and SaaS systems.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Redshift and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Redshift, you also learn about similarities and differences between Redshift and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.
Pelajari lebih lanjut
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
Pelajari lebih lanjut
Selesaikan badge keahlian tingkat menengah Engineer Data for Predictive Modeling with 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); membangun model machine learning menggunakan BigQuery ML; dan menggunakan Cloud Composer untuk menyalin data di berbagai lokasi. 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 kursus badge keahlian dan challenge lab penilaian akhir untuk menerima badge digital yang dapat Anda bagikan ke jaringan Anda.
Pelajari lebih lanjut
Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network. For practice with BigQuery fundamentals (including working with the console and command line), complete the course titled BigQuery Basics for Data Analysts.
Pelajari lebih lanjut
Selesaikan badge keahlian pengantar Prepare Data for ML APIs on 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. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud s ebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian ini dan challenge lab penilaian akhir, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
Pelajari lebih lanjut
Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
Pelajari lebih lanjut
Quest level dasar ini berbeda dari penawaran Qwiklabs lainnya. Lab-lab di dalamnya telah diseleksi guna membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Cloud Certified Professional Cloud Architect. Quest ini berisi lab-lab khusus yang akan menguji pengetahuan Anda seputar Google Cloud, mulai dari IAM, networking, hingga deployment Kubernetes Engine. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Harap diketahui, meskipun praktik dengan lab ini dapat meningkatkan keterampilan dan kemampuan Anda, sebaiknya pelajari juga panduan ujian serta referensi persiapan lain yang tersedia.
Pelajari lebih lanjut
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
Pelajari lebih lanjut
Kursus ini membekali peserta dengan keterampilan untuk membangun solusi yang sangat andal dan efisien di Google Cloud menggunakan pola desain yang telah terbukti. Kursus ini merupakan kelanjutan dari kursus Architecting with Google Compute Engine atau Architecting with Google Kubernetes Engine dan memberikan pengalaman interaktif dengan teknologi yang dibahas dalam kursus tersebut. Melalui kombinasi presentasi, aktivitas desain, dan lab interaktif, peserta akan mempelajari cara menentukan serta menyeimbangkan kebutuhan bisnis dan teknis untuk merancang deployment Google Cloud yang sangat andal, sangat tersedia, aman, dan hemat biaya.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
Google Cloud Fundamentals: Core Infrastructure 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.
Pelajari lebih lanjut
This course offers hands-on practice with migrating MySQL data to Cloud SQL using Database Migration Service. You start with an introductory lab that briefly reviews how to get started with Cloud SQL for MySQL, including how to connect to Cloud SQL instances using the Cloud Console. Then, you continue with two labs focused on migrating MySQL databases to Cloud SQL using different job types and connectivity options available in Database Migration Service. The course ends with a lab on migrating MySQL user data when running Database Migration Service jobs.
Pelajari lebih lanjut
Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.
Pelajari lebih lanjut
Quest level dasar ini berbeda dari penawaran Qwiklabs lainnya. Lab-lab di dalamnya telah diseleksi guna membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Associate Cloud Engineer. Quest ini berisi lab-lab khusus yang akan menguji pengetahuan Anda seputar Google Cloud, mulai dari IAM, networking, hingga deployment Kubernetes Engine. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Harap diketahui, meskipun praktik dengan lab ini dapat meningkatkan keterampilan dan kemampuan Anda, sebaiknya pelajari juga panduan ujian serta referensi persiapan lain yang tersedia.
Pelajari lebih lanjut
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
Pelajari lebih lanjut
Jika Anda adalah developer cloud pemula yang menginginkan praktik langsung di luar Getting Started - Create and Manage Cloud Resources, artinya quest ini cocok untuk Anda. Anda akan mendapatkan pengalaman praktik melalui lab yang mendalami Cloud Storage dan layanan aplikasi utama lainnya, seperti Stackdriver dan Cloud Functions. Dengan mengambil quest ini, Anda dapat mengembangkan kemampuan berharga yang dapat diterapkan di semua inisiatif Google Cloud. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Tersedia video berdurasi 1 menit yang akan membantu Anda memahami konsep utama lab-lab ini.
Pelajari lebih lanjut
Selesaikan pengantar badge keahlian Implement Load Balancing on Compute Engine untuk menunjukkan keterampilan berikut ini: menulis perintah gcloud dan menggunakan Cloud Shell, membuat dan men-deploy virtual machine di Compute Engine, serta mengonfigurasi jaringan dan load balancer HTTP. 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 yang interaktif. Selesaikan badge keahlian ini, dan penilaian akhir Challenge Lab, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Pelajari lebih lanjut
Dalam quest level pendahuluan ini, Anda akan mendapatkan praktik langsung dengan aneka fitur dan layanan dasar Google Cloud Platform. Dasar-Dasar GCP adalah Quest pertama yang direkomendasikan bagi peserta kursus Google Cloud—Anda dapat memulai dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan selesai dengan pengalaman praktis yang dapat diterapkan pada project GCP pertama Anda. Mulai dari menulis perintah Cloud Shell dan menerapkan mesin virtual pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar GCP merupakan pengenalan terbaik pada fitur-fitur dasar platform cloud. Setiap lab disertai video berdurasi 1 menit yang akan memandu Anda memahami berbagai konsep penting.
Attention Mechanism - Bahasa Indonesia
Earned Nov 2, 2024 EDT
Introduction to Image Generation - Bahasa Indonesia
Earned Nov 2, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned Mei 18, 2024 EDT
Build a Data Mesh with Dataplex
Earned Mei 15, 2024 EDT
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Mei 14, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Mei 14, 2024 EDT
Google Cloud Data Solutions for the Public Sector
Earned Mei 5, 2024 EDT
Achieving Advanced Insights with BigQuery
Earned Mei 4, 2024 EDT
BigQuery Fundamentals for Redshift Professionals
Earned Apr 28, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Apr 27, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Apr 27, 2024 EDT
Build a Data Warehouse with BigQuery
Earned Apr 26, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned Apr 24, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Apr 22, 2024 EDT
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Apr 22, 2024 EDT
Building Batch Data Pipelines on Google Cloud
Earned Apr 20, 2024 EDT
Deploy and Manage Cloud Environments with Google Cloud
Earned Apr 19, 2024 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Apr 15, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 14, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned Apr 14, 2024 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Apr 13, 2024 EDT
Getting Started with Google Kubernetes Engine
Earned Apr 7, 2024 EDT
Reliable Google Cloud Infrastructure: Design and Process - Bahasa Indonesia
Earned Apr 6, 2024 EDT
Essential Google Cloud Infrastructure: Core Services - Bahasa Indonesia
Earned Apr 2, 2024 EDT
Essential Google Cloud Infrastructure: Foundation - Bahasa Indonesia
Earned Apr 1, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Bahasa Indonesia
Earned Mar 31, 2024 EDT
Migrating MySQL data to Cloud SQL using Database Migration Service
Earned Mar 30, 2024 EDT
Build Infrastructure with Terraform on Google Cloud
Earned Mar 25, 2024 EDT
Set up and Configure a Cloud Environment in Google Cloud
Earned Mar 23, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Mar 22, 2024 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Mar 21, 2024 EDT
Implement Load Balancing on Compute Engine
Earned Mar 21, 2024 EDT
Google Cloud Essentials
Earned Mar 19, 2024 EDT