Yaroslav Davydchuk
Membro dal giorno 2022
Campionato Oro
41210 punti
Introduction to Data Analytics in Google Cloud
Earned ott 27, 2025 EDT
Introduction to Data Analytics in Google Cloud
Earned apr 21, 2024 EDT
Build a Data Warehouse with BigQuery
Earned apr 7, 2024 EDT
The Basics of Google Cloud Compute
Earned mar 30, 2024 EDT
Build Serverless Applications with Cloud Run Functions
Earned mar 25, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned mar 25, 2024 EDT
Use APIs to Work with Cloud Storage
Earned mar 25, 2024 EDT
Deploy and Manage Applications on Google App Engine
Earned mar 25, 2024 EDT
Prepara i dati per le API ML su Google Cloud
Earned mar 23, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned mar 23, 2024 EDT
Analyze Speech and Language with Google APIs
Earned mar 23, 2024 EDT
Secure Lakehouse Data
Earned mar 22, 2024 EDT
Enrich Metadata and Discovery of Lakehouse Data
Earned mar 22, 2024 EDT
Implement Cloud Storage and Data Protection Solutions
Earned mar 22, 2024 EDT
Deploy and Secure Serverless APIs with API Gateway
Earned mar 22, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned mar 22, 2024 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned mar 22, 2024 EDT
Build LookML Objects in Looker
Earned mar 21, 2024 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned mar 21, 2024 EDT
Streaming Analytics into BigQuery
Earned mar 21, 2024 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned mar 21, 2024 EDT
Automate Data Capture at Scale with Document AI
Earned mar 20, 2024 EDT
Integrate BigQuery Data and Google Workspace using Apps Script
Earned mar 20, 2024 EDT
Analyze Sentiment with Natural Language API
Earned mar 20, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned mar 20, 2024 EDT
Google Cloud Data Analytics Essentials
Earned mar 19, 2024 EDT
Introduction to Responsible AI - Italiano
Earned mar 19, 2024 EDT
Introduction to Large Language Models - Italiano
Earned mar 19, 2024 EDT
Introduction to Generative AI - Italiano
Earned mar 18, 2024 EDT
Perform Predictive Data Analysis in BigQuery
Earned mar 18, 2024 EDT
[Deprecated] Classify Images with TensorFlow on Google Cloud
Earned mar 17, 2024 EDT
Build a Data Warehouse with BigQuery
Earned mar 12, 2024 EDT
Share Data Using Google Data Cloud
Earned mar 12, 2024 EDT
Analyze BigQuery Data in Connected Sheets
Earned mar 12, 2024 EDT
Use Functions, Formulas, and Charts in Google Sheets
Earned mar 11, 2024 EDT
Genera insight dai dati BigQuery
Earned mar 11, 2024 EDT
[Deprecated] Get Started with Looker
Earned mar 10, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Italiano
Earned mar 10, 2024 EDT
Baseline: dati, ML, AI
Earned ott 14, 2022 EDT
Configura un ambiente di sviluppo di app su Google Cloud
Earned ott 13, 2022 EDT
Conoscenze di base: infrastruttura
Earned ott 13, 2022 EDT
Implementazione di Cloud Load Balancing per Compute Engine
Earned ott 7, 2022 EDT
Google Cloud Essentials
Earned ott 7, 2022 EDT
Welcome learner! This is the first of five courses of the Google Cloud Data Analytics Certificate. Jump into the world of data analytics and cloud computing. Explore the data lifecycle in the cloud and gain a better understanding of the common tools used by data analysts.
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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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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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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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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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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Complete the introductory Use APIs to Work with Cloud Storage skill badge to demonstrate skills in the following: using APIs to work with Cloud Storage resources, including the Cloud Storage API.
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Earn a Skill Badge by completing the Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.
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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 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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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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Complete the introductory Secure Lakehouse Data skill badge course to demonstrate skills with IAM, BigQuery, Lakehouse, and Knowledge Catalog to create and secure Lakehouse tables.
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Complete the Enrich Metadata and Discovery of Lakehouse Data skill badge course to demonstrate skills in BigQuery, Lakehouse, and Knowledge Catalog. You create Lakehouse tables and enrich metadata management and discovery of the table data.
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Earn a Skill Badge by completing the Implement Cloud Storage and Data Protection Solutions course. Learn to create a Cloud Storage bucket, use the command line, and protect objects with Bucket Lock.
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Earn a skill badge by completing the Deploy and Secure Serverless APIs 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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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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Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows 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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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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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 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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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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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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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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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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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
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Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.
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Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'IA responsabile, perché è importante e in che modo Google implementa l'IA responsabile nei propri prodotti. Introduce anche i 7 principi dell'IA di Google.
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Questo è un corso di microlearning di livello introduttivo che esplora cosa sono i modelli linguistici di grandi dimensioni (LLM), i casi d'uso in cui possono essere utilizzati e come è possibile utilizzare l'ottimizzazione dei prompt per migliorare le prestazioni dei modelli LLM. Descrive inoltre gli strumenti Google per aiutarti a sviluppare le tue app Gen AI.
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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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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 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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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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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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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 intermediate Use Functions, Formulas and Charts in Google Sheets skill badge course to demonstrate skills in the following: analyzing data with functions; visualizing data using charts; and searching, validating, formatting, and displaying data.
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Completa il corso introduttivo con badge delle competenze Genera insight dai dati BigQuery per dimostrare le tue competenze nei seguenti ambiti: scrivere query SQL, eseguire query su tabelle pubbliche, caricare dati di esempio in BigQuery, risolvere i problemi di sintassi comuni con lo strumento di convalida query in BigQuery e creare report in Data Studio collegando ai dati di BigQuery.
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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
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Google Cloud Fundamentals: Core Infrastructure introduce concetti e terminologia importanti per lavorare con Google Cloud. Attraverso video e lab pratici, questo corso presenta e confronta molti dei servizi di computing e archiviazione di Google Cloud, insieme a importanti strumenti di gestione delle risorse e dei criteri.
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Big data, machine learning e intelligenza artificiale sono i principali argomenti di computing trattati attualmente, ma questi campi sono piuttosto specializzati ed è complicato reperire materiale introduttivo. Fortunatamente, Google Cloud offre servizi facili da usare in queste aree e con questo corso di livello introduttivo, in modo da poter fare i primi passi con strumenti come BigQuery, API Cloud Speech e Video Intelligence.
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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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Se sei uno sviluppatore cloud principiante che vuole fare ancora pratica Google Cloud Essentials, questo corso fa al caso tuo. Acquisirai esperienza pratica attraverso lab specifici su Cloud Storage e altri servizi per applicazioni chiave come Monitoring e Cloud Functions. Svilupperai competenze preziose applicabili a qualsiasi iniziativa 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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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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