Ayaan Khan
Membro dal giorno 2023
Campionato Oro
4158 punti
Crea un mesh di dati con Knowledge Catalog
Earned lug 27, 2026 EDT
Arcade Simulator: Data Mesh Architect
Earned lug 27, 2026 EDT
Build a Data Warehouse with BigQuery
Earned lug 26, 2026 EDT
Ottimizza i costi per Google Kubernetes Engine
Earned lug 26, 2026 EDT
Safe Spaces
Earned lug 26, 2026 EDT
Build LookML Objects in Looker
Earned giu 22, 2026 EDT
Logic Log
Earned giu 22, 2026 EDT
Manage Data Models in Looker
Earned giu 22, 2026 EDT
Integrate BigQuery Data and Google Workspace using Apps Script
Earned giu 21, 2026 EDT
Work Meets Play: Cloud Canvas
Earned giu 21, 2026 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned giu 21, 2026 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned giu 20, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs
Earned giu 20, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned giu 20, 2026 EDT
Prepara i dati per le API ML su Google Cloud
Earned giu 20, 2026 EDT
Implement Sensitive Data Protection on Google Cloud
Earned giu 18, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned giu 18, 2026 EDT
Monitor and Log with Google Cloud Observability
Earned giu 15, 2026 EDT
Configura un ambiente di sviluppo di app su Google Cloud
Earned giu 15, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned giu 15, 2026 EDT
Implementazione di Cloud Load Balancing per Compute Engine
Earned giu 15, 2026 EDT
Arcade Base Camp June 2026
Earned giu 14, 2026 EDT
Build Global and Regional Load Balancing Solutions
Earned giu 13, 2026 EDT
Build a Certification Study Guide: PDE Exam Prep
Earned lug 4, 2024 EDT
Introduction to Generative AI - Italiano
Earned giu 26, 2024 EDT
Completa il corso introduttivo con badge delle competenze Crea un mesh di dati con Knowledge Catalog per dimostrare le tue competenze nei seguenti ambiti: creare un mesh di dati con Knowledge Catalog per facilitare governance, discovery e sicurezza dei dati su Google Cloud. Ti eserciterai e metterai alla prova le tue competenze nel tagging degli asset, nell'assegnazione di ruoli IAM e nella valutazione della qualità dei dati in Knowledge Catalog.
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Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.
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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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Completa il badge delle competenze di livello intermedio Ottimizza i costi per Google Kubernetes Engine per dimostrare le tue competenze nei seguenti ambiti: creazione e gestione di cluster multi-tenant, monitoraggio dell'utilizzo delle risorse per spazio dei nomi, configurazione della scalabilità automatica di cluster e pod per l'efficienza, impostazione del bilanciamento del carico per la distribuzione ottimale delle risorse e implementazione di probe di attività e idoneità per garantire l'integrità e la convenienza economica dell'applicazione.
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Building a true "safe space" in the cloud means protecting your applications from external threats while keeping your internal infrastructure stable and efficient. This challenege starts by turning Security Command Center into your ultimate defensive shield—learning to spot risks, investigate threats, and secure your perimeter. From there, you'll bring that same safe-space philosophy to Google Kubernetes Engine (GKE) by isolating workloads safely with multi-tenant namespaces and protecting your budget through smart autoscaling ensuring your cloud environments remain secure and perfectly optimized.
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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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Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.
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Complete the intermediate Manage Data Models in Looker skill badge course to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies.
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Complete the introductory Integrate BigQuery Data and Google Workspace using Apps Script skill badge course to demonstrate skills in connecting Workspace products with BigQuery via AppSheet.
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Great ideas come to life when creativity meets the right tools. Inspired by how Adobe connects its creative universe with Google Workspace to boost collaboration, this challenge shows you how to build seamless, efficient workflows. You’ll start with the basics of setting up shared spaces in Google Drive, managing communications in Gmail, and building no-code apps with AppSheet. From there, you'll connect your workspace to powerful data tools—using Apps Script to automate tasks across Sheets and Maps, analyzing massive datasets with Connected Sheets, and sending that data directly into slide presentations. By the end, you'll know how to bridge the gap between data and design to keep your projects running smoothly.
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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.
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Earn the Introductory Skill Badge by completing the Implement Speech and Language Solutions with Pre-trained APIs course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.
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Earn the Introductory skill badge by completing the Configure Service Accounts and IAM Roles for Google Cloud course, where you learn about service accounts, custom roles, and how to set permissions using gcloud .
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Ottieni il corso intermedio con badge delle competenze Prepara i dati per le API ML su Google Cloud per dimostrare le tue competenze nei seguenti ambiti: pulizia dei dati con Dataprep di Trifacta, esecuzione delle pipeline di dati in Dataflow, creazione dei cluster ed esecuzione dei job Apache Spark in Managed Service for Apache Spark e richiamo delle API ML tra cui l'API Cloud Natural Language, l'API Google Cloud Speech-to-Text e l'API Video Intelligence.
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Complete the Implement Sensitive Data Protection on Google Cloud Skill Badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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Ottieni un badge delle competenze completando il corso Configura un ambiente di sviluppo di app su Google Cloud, in cui imparerai a creare e connettere un'infrastruttura cloud incentrata sull'archiviazione utilizzando le funzionalità di base delle seguenti tecnologie: Cloud Storage, Identity and Access Management, Cloud Functions e Pub/Sub.
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Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.
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Completa il corso introduttivo con badge delle competenze Implementazione di Cloud Load Balancing per Compute Engine per dimostrare le tue competenze nei seguenti ambiti: creazione ed esecuzione del deployment di macchine virtuali in Compute Engine e configurazione di bilanciatori del carico di rete e delle applicazioni.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Complete the intermediate Build Global and Regional Load Balancing Solutions skill badge course to demonstrate skills in the following: deploy and utilize an internal client VM within the same VPC network and test traffic distribution, backend infrastructure suitable for a global external application Load Balancer, and backend VM instances and load balancer components using startup scripts and network tags to host a web application service.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.
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