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Saswata Mukherjee

Membro dal giorno 2019

Campionato Argento

8300 punti
Badge per Perform Foundational Data, ML, and AI Tasks in Google Cloud Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned ott 10, 2020 EDT
Badge per Engineer Data for Predictive Modeling with BigQuery ML Engineer Data for Predictive Modeling with BigQuery ML Earned ott 10, 2020 EDT
Badge per DEPRECATED Explore Machine Learning Models with Explainable AI DEPRECATED Explore Machine Learning Models with Explainable AI Earned ott 10, 2020 EDT
Badge per Integrate with Machine Learning APIs Integrate with Machine Learning APIs Earned ott 10, 2020 EDT
Badge per Insights from Data with BigQuery Insights from Data with BigQuery Earned ott 7, 2020 EDT
Badge per Deploy Kubernetes Applications on Google Cloud Deploy Kubernetes Applications on Google Cloud Earned ott 2, 2020 EDT
Badge per Build a Secure Google Cloud Network Build a Secure Google Cloud Network Earned ott 2, 2020 EDT
Badge per Kubernetes in Google Cloud Kubernetes in Google Cloud Earned ott 2, 2020 EDT
Badge per Set Up a Google Cloud Network Set Up a Google Cloud Network Earned ott 2, 2020 EDT
Badge per Develop your Google Cloud Network Develop your Google Cloud Network Earned ott 1, 2020 EDT
Badge per Cloud Engineering Cloud Engineering Earned set 30, 2020 EDT
Badge per Perform Foundational Infrastructure Tasks in Google Cloud Perform Foundational Infrastructure Tasks in Google Cloud Earned set 29, 2020 EDT
Badge per Getting Started - Create and Manage Cloud Resource Getting Started - Create and Manage Cloud Resource Earned set 29, 2020 EDT
Badge per Baseline: Infrastructure Baseline: Infrastructure Earned ott 27, 2019 EDT
Badge per Google Cloud Essentials Google Cloud Essentials Earned ott 27, 2019 EDT
Badge per Machine Learning APIs Machine Learning APIs Earned ott 26, 2019 EDT
Badge per Intermediate ML: TensorFlow on Google Cloud Intermediate ML: TensorFlow on Google Cloud Earned ott 26, 2019 EDT
Badge per BigQuery for Machine Learning BigQuery for Machine Learning Earned ott 26, 2019 EDT
Badge per Intro to ML: Language Processing Intro to ML: Language Processing Earned ott 26, 2019 EDT
Badge per Baseline: Data, ML, AI Baseline: Data, ML, AI Earned ott 26, 2019 EDT
Badge per Exploring APIs Exploring APIs Earned ott 6, 2019 EDT
Badge per Cloud Development Cloud Development Earned ott 6, 2019 EDT
Badge per [DEPRECATED] Deploying Applications [DEPRECATED] Deploying Applications Earned ott 6, 2019 EDT
Badge per DEPRECATED Websites and Web Applications DEPRECATED Websites and Web Applications Earned ott 6, 2019 EDT
Badge per Baseline: Deploy & Develop Baseline: Deploy & Develop Earned ott 4, 2019 EDT

Big data, machine learning e intelligenza artificiale sono i temi più attuali nel campo dell'elaborazione dati. Tuttavia, questi settori sono piuttosto specialistici ed è difficile trovare materiale introduttivo. Fortunatamente, Google Cloud fornisce servizi facili da usare in questi ambiti e il Laboratorio Qwiklabs di livello preliminare ti aiuta a muovere i primi passi con strumenti come Big Query, API Cloud Speech e AI Platform. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud. I video di un minuto ti guideranno attraverso i concetti chiave di ogni laboratorio.

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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; building machine learning models using BigQuery ML; and using Cloud Composer to copy data across multiple locations. 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 the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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 quest and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Earn a skill badge by completing the Integrate with Machine Learning APIs course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. 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 course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Vuoi migliorare l'analisi dei dati senza dover gestire hardware del database? Scopri le best practice per le query e per ottenere informazioni dal tuo data warehouse con questa serie interattiva di lab su BigQuery. BigQuery è il database di analisi NoOps e a basso costo completamente gestito di Google. Con BigQuery puoi interrogare terabyte e terabyte di dati senza dover gestire alcuna infrastruttura o aver bisogno di un amministratore del database. BigQuery utilizza SQL e sfrutta i vantaggi offerti dal modello di pagamento a consumo. BigQuery permette di concentrarsi sull'analisi dei dati per trovare informazioni valide. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud.

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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge to demonstrate skills in the following: configuring and building Docker container images, creating and managing Google Kubernetes Engine (GKE) clusters, utilizing kubectl for efficient cluster management, and deploying Kubernetes applications with robust continuous delivery (CD) practices. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications 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 the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional Challenge Lab at the end of the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.

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Earn a skill badge by completing the Set Up a Google Cloud Network course, where you will learn how to: Set IAM features with the gcloud CLI tool; deploy and scale a web app on Google Compute Engine; provision a Kubernetes cluster and break an application into microservices; perform basic networking tasks on Google Cloud Platform; view BigQuery logs inside Cloud Logging, and migrate a stand-alone PostgreSQL database to Cloud SQL using a continuous Database Migration Service job. 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 the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn a skill badge by completing the Develop your Google Cloud Network course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM rols and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches. A skill badge is an exclusivedigital 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 skill badge that you can share with your network.

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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Se sei uno sviluppatore cloud alle prime armi e vuoi mettere in pratica le conoscenze acquisite con "Getting Started - Create and Manage Cloud Resources", questo Laboratorio fa al caso tuo. Acquisirai esperienza pratica con i lab che si concentrano su Cloud Storage e altri servizi applicativi principali, tra cui Stackdriver e Cloud Functions. Completando questo Laboratorio, svilupperai competenze importanti applicabili a qualsiasi iniziativa Google Cloud. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud. I video di un minuto ti guideranno attraverso i concetti chiave di questi lab..

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In questo Laboratorio di livello preliminare, ti eserciterai con gli strumenti e i servizi fondamentali di Google Cloud. "Getting Started - Create and Manage Cloud Resources" è il primo Laboratorio consigliato per chi vuole imparare a usare Google Cloud. Inizierai con poca o nessuna conoscenza di base sul cloud, per poi acquisire esperienza pratica da applicare al tuo primo progetto Google Cloud. Vuoi sapere come scrivere i comandi Cloud Shell, eseguire il deployment della tua prima macchina virtuale, eseguire applicazioni su Kubernetes Engine o usare il bilanciamento del carico? Il Laboratorio "Getting Started - Create and Manage Cloud Resources" ti offre un'introduzione alle funzionalità di base di Google Cloud. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud. I video di un minuto ti guideranno attraverso i concetti chiave di ogni laboratorio..

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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.

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In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner - you will 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. 1-minute videos walk you through key concepts for each lab.

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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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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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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.

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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.

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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.

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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.

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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.

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When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.

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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.

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