DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned lug 27, 2023 EDT
Create ML Models with BigQuery ML
Earned lug 27, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned lug 25, 2023 EDT
Data Catalog Fundamentals
Earned lug 25, 2023 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned lug 24, 2023 EDT
Introduction to Generative AI - Italiano
Earned mag 15, 2023 EDT
Introduction to Large Language Models - Italiano
Earned mag 14, 2023 EDT
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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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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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
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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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Questo corso presenta le offerte di intelligenza artificiale (AI) e machine learning (ML) su Google Cloud per la creazione di progetti di AI predittiva e generativa. Esplora le tecnologie, i prodotti e gli strumenti disponibili durante tutto il ciclo di vita data-to-AI, includendo le basi, lo sviluppo e le soluzioni di AI. Ha lo scopo di aiutare data scientist, sviluppatori di AI e ML engineer a migliorare le proprie abilità e conoscenze attraverso attività di apprendimento coinvolgenti ed esercizi pratici.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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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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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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Il corso Viaggio nell'AI generativa - Agent Platform è una raccolta di lab su come utilizzare l'AI generativa su Google Cloud. Nei lab imparerai a utilizzare i modelli Gemini in Agent Platform. Scoprirai inoltre come progettare i prompt, le best practice da seguire e come utilizzare l'AI generativa per l'ideazione, la classificazione, l'estrazione e il riassunto di testi e molto altro ancora. Imparerai anche come ottimizzare un foundation model addestrandolo tramite addestramento personalizzato in Agent Platform ed eseguendo il deployment su un endpoint in Agent Platform.
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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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.
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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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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.
Monitor and Manage Google Cloud Resources
Earned mag 23, 2024 EDT
Manage Kubernetes in Google Cloud
Earned mag 23, 2024 EDT
Analyze Images with the Cloud Vision API
Earned mag 23, 2024 EDT
Conoscenze di base: infrastruttura
Earned mag 20, 2024 EDT
Gemini for Data Scientists and Analysts
Earned mag 18, 2024 EDT
Analyze Speech and Language with Google APIs
Earned mag 17, 2024 EDT
Introduzione all'AI e al machine learning su Google Cloud
Earned mag 9, 2024 EDT
Implement DevOps Workflows in Google Cloud
Earned ago 11, 2023 EDT
Implementazione di Cloud Load Balancing per Compute Engine
Earned ago 7, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned lug 31, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned lug 31, 2023 EDT
Viaggio nell'AI generativa - Agent Platform
Earned lug 27, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned lug 27, 2023 EDT
Create ML Models with BigQuery ML
Earned lug 27, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned lug 25, 2023 EDT
Data Catalog Fundamentals
Earned lug 25, 2023 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned lug 24, 2023 EDT
Introduction to Generative AI - Italiano
Earned mag 15, 2023 EDT
Introduction to Large Language Models - Italiano
Earned mag 14, 2023 EDT