Partecipa Accedi

Akshat Kumar

Membro dal giorno 2021

Campionato Oro

14360 punti
Create ML Models with BigQuery ML Earned lug 29, 2024 EDT
Build a Data Warehouse with BigQuery Earned lug 29, 2024 EDT
Manage Data Models in Looker Earned lug 29, 2024 EDT
Automate Data Migrations to BigQuery Earned lug 27, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned lug 27, 2024 EDT
Text Prompt Engineering Techniques Earned lug 27, 2024 EDT
Orchestrate LLM solutions with LangChain Earned lug 27, 2024 EDT
Migrate Cloudera to Google Cloud Earned lug 27, 2024 EDT
Develop Serverless Apps with Firebase Earned lug 27, 2024 EDT
Migrate MySQL to Cloud Spanner Earned lug 21, 2024 EDT
Preparing for the Professional Cloud Architect Exam - Italiano Earned giu 17, 2024 EDT
Infrastruttura Google Cloud di base: servizi principali Earned apr 22, 2022 EDT
Infrastruttura Google Cloud di base: fondamenti Earned apr 3, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure - Italiano Earned mar 28, 2022 EDT
Modernize Infrastructure and Applications with Google Cloud Earned feb 20, 2022 EST
Digital Transformation with Google Cloud Earned feb 20, 2022 EST
Scaling with Google Cloud Operations Earned feb 15, 2022 EST
Exploring Data Transformation with Google Cloud Earned feb 9, 2022 EST

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 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 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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This skill badge aims to provide partners an introduction to BigQuery Data Transfer Service and Migration Service, two powerful tools for managing and migrating data in the cloud. Learners will learn how to leverage these tools to efficiently migrate and manage data, and gain hands-on experience through labs.

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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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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.

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Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.

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This skill badge aims to evaluate a partner's ability to migrate data from Cloudera to Google Cloud Platform. Learners will gain hands-on experience through labs and achieve comprehensive knowledge and practical skills for migrating data from Cloudera to Google Cloud Platform.

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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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This skill badge aims to provide partners a comprehensive understanding of migrating MySQL databases to Cloud Spanner, and gain hands-on experience through labs.

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Lo scopo di questo corso è aiutare coloro che sono qualificati ad avere confidenza per tentare l'esame e aiutare le persone non ancora qualificate a sviluppare il proprio piano per la preparazione.

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Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, sistemi e servizi per applicazioni, ed eseguirne il deployment. Questo corso tratta inoltre del deployment di soluzioni pratiche quali, ad esempio, chiavi di crittografia fornite dal cliente, gestione di sicurezza e accessi, quote e fatturazione, monitoraggio delle risorse.

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Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, macchine virtuali e servizi per applicazioni, ed eseguirne il deployment. Imparerai a utilizzare Google Cloud mediante la console e Cloud Shell. Scoprirai inoltre il ruolo del Cloud Architect, gli approcci alla progettazione dell'infrastruttura e la configurazione del networking virtuale con VPC (Virtual Private Cloud), progetti, reti, subnet, indirizzi IP, route e regole firewall.

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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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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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