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Apply your skills in Google Cloud console

Divyanshu Srivastava

Member since 2022

Gold League

10547 points
Introduction to AI and Machine Learning on Google Cloud Earned Eki 4, 2025 EDT
Build a Certification Study Guide: PMLE Earned Eki 3, 2025 EDT
Get Started with Dataplex Earned Haz 15, 2023 EDT
Qwiklabs Trivia May 2023 Earned Haz 5, 2023 EDT
Get Started with Cloud Storage Earned May 30, 2023 EDT
Get Started with Pub/Sub Earned May 30, 2023 EDT
Set Up a Google Cloud Network Earned May 30, 2023 EDT
Level 1: Data, ML and API Skills Earned May 29, 2023 EDT
Build Serverless Applications with Cloud Run Functions Earned May 28, 2023 EDT
App Building with AppSheet Earned May 28, 2023 EDT
Use Machine Learning APIs on Google Cloud Earned May 26, 2023 EDT
Get Started with API Gateway Earned May 26, 2023 EDT
Build a Data Warehouse with BigQuery Earned May 26, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances Earned May 20, 2023 EDT
Streaming Analytics into BigQuery Earned May 20, 2023 EDT
Level 2: Data Exploration with Looker, BigQuery and Sheets Earned May 9, 2023 EDT
BigQuery Verilerinden Analiz Elde Etme Earned May 8, 2023 EDT
Analyze BigQuery Data in Connected Sheets Earned May 8, 2023 EDT
Prepare Data for Looker Dashboards and Reports Earned Nis 28, 2023 EDT
Level 1: Managing Resources and Data in the Cloud Earned Nis 27, 2023 EDT
Monitor and Manage Google Cloud Resources Earned Nis 27, 2023 EDT
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma Earned Nis 27, 2023 EDT
Store, Process, and Manage Data on Google Cloud - Command Line Earned Nis 27, 2023 EDT
Store, Process, and Manage Data on Google Cloud - Console Earned Nis 21, 2023 EDT

This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.

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Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.

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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.

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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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Earn a skill badge by completing the Get Started with Pub/Sub skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.

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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.

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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.

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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.

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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.

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Earn a skill badge by completing the Get Started with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course 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.

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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.

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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

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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.

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Giriş düzeyindeki BigQuery Verilerinden Analiz Elde Etme beceri rozetini alarak şu konulardaki becerilerinizi gösterin: SQL sorguları yazma, herkese açık tabloları sorgulama, örnek verileri BigQuery'ye yükleme, BigQuery'deki sorgu doğrulayıcı ile yaygın söz dizimi sorunlarını giderme ve BigQuery verilerine bağlanarak Looker Studio'da rapor oluşturma.

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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.

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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.

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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.

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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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Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta Cloud Storage, Identity and Access Management, Cloud Functions ve Pub/Sub gibi teknolojilerin temel özelliklerini kullanarak depolama odaklı bulut altyapısı oluşturma ve bu altyapıyla bağlantı kurmayı öğreneceksiniz.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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