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Applica le tue competenze nella console Google Cloud

Santanu Ghosh

Membro dal giorno 2023

Campionato Argento

20745 punti
Contact Center AI: Conversational Design Fundamentals Earned set 21, 2023 EDT
Introduzione all'AI e al machine learning su Google Cloud Earned set 18, 2023 EDT
Serverless Data Processing with Dataflow: Foundations Earned set 18, 2023 EDT
Preparing for Your Professional Cloud Security Engineer Journey Earned set 18, 2023 EDT
Sviluppa la tua rete Google Cloud Earned set 18, 2023 EDT
Develop Serverless Apps with Firebase Earned set 15, 2023 EDT
Create a Secure Data Lake on Cloud Storage Earned set 15, 2023 EDT
Use Machine Learning APIs on Google Cloud Earned set 15, 2023 EDT
Implementazione di Cloud Load Balancing per Compute Engine Earned set 14, 2023 EDT
[DEPRECATED]- Google Cloud Computing Foundations: Cloud Computing Fundamentals - Italiano Earned set 14, 2023 EDT
Create ML Models with BigQuery ML Earned set 14, 2023 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned set 14, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure - Italiano Earned set 13, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud Earned set 13, 2023 EDT
Enrich Metadata and Discovery of BigLake Data Earned set 12, 2023 EDT
Introduction to Generative AI - Italiano Earned set 11, 2023 EDT
Level 3: GenAI Earned set 11, 2023 EDT

Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.

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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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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.

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This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.

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Guadagna un badge delle competenze completando il corso Sviluppa la tua rete Google Cloud, in cui apprenderai diversi modi per eseguire il deployment e il monitoraggio delle applicazioni, tra cui: esplorare i ruoli IAM e aggiungere/rimuovere l'accesso ai progetti, creare reti VPC, eseguire il deployment e il monitoraggio delle VM di Compute Engine, scrivere query SQL, eseguire il deployment e il monitoraggio delle VM in Compute Engine ed eseguire il deployment delle applicazioni utilizzando Kubernetes con più approcci al deployment.

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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.

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Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Dataplex lake for data governance.

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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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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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Il corso Google Cloud Computing Foundations fornirà a chi ha poca o nessuna esperienza di cloud computing una panoramica dettagliata dei concetti relativi alle nozioni di base del cloud, ai big data e al machine learning, oltre che a dove e come Google Cloud si inserisce. Alla fine del corso, i partecipanti saranno in grado di descrivere questi concetti e dimostrare delle competenze pratiche. Questo corso fa parte della serie di corsi Google Cloud Computing Foundations. I corsi dovrebbero essere completati nel seguente ordine: Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales Questo primo corso fornisce una panoramica del cloud computing, dei modi per utilizzare Google Cloud e diverse opzio…

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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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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.

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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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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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.

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Complete the Enrich Metadata and Discovery of BigLake Data skill badge course to demonstrate skills in BigQuery, BigLake, and Dataplex Universal Catalog. You create BigLake tables and enrich metadata management and discovery of the table data.

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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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Recently, a McKinsey report found that Generative AI could add up to $4.4 trillion a year to the global economy, signaling an imminent surge in the demand for GenAI professionals. Now is the perfect time to get a head start and gain hands-on experience with Google Cloud's powerful GenAI tools and techniques, carefully designed to enhance your tech skills and set you on a promising course. Play now to be at the forefront of innovation, shaping the future with GenAI and earning your first Google Cloud GenAI game badge!

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