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Pratyay Banerjee

Jest członkiem od 2019

Liga srebrna

8600 pkt.
Odznaka dla Engineer Data for Predictive Modeling with BigQuery ML Engineer Data for Predictive Modeling with BigQuery ML Earned lis 3, 2020 EST
Odznaka dla [DEPRECATED] Data Engineering [DEPRECATED] Data Engineering Earned lis 3, 2020 EST
Odznaka dla Insights from Data with BigQuery Insights from Data with BigQuery Earned lis 3, 2020 EST
Odznaka dla Perform Foundational Data, ML, and AI Tasks in Google Cloud Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned lis 2, 2020 EST
Odznaka dla Deploy Kubernetes Applications on Google Cloud Deploy Kubernetes Applications on Google Cloud Earned paź 31, 2020 EDT
Odznaka dla Build a Secure Google Cloud Network Build a Secure Google Cloud Network Earned paź 31, 2020 EDT
Odznaka dla Networking Fundamentals in Google Cloud Networking Fundamentals in Google Cloud Earned paź 31, 2020 EDT
Odznaka dla Set Up a Google Cloud Network Set Up a Google Cloud Network Earned paź 28, 2020 EDT
Odznaka dla DEPRECATED Explore Machine Learning Models with Explainable AI DEPRECATED Explore Machine Learning Models with Explainable AI Earned paź 28, 2020 EDT
Odznaka dla Use Machine Learning APIs on Google Cloud Use Machine Learning APIs on Google Cloud Earned paź 17, 2020 EDT
Odznaka dla Develop your Google Cloud Network Develop your Google Cloud Network Earned paź 15, 2020 EDT
Odznaka dla Perform Foundational Infrastructure Tasks in Google Cloud Perform Foundational Infrastructure Tasks in Google Cloud Earned paź 13, 2020 EDT
Odznaka dla Implement Load Balancing on Compute Engine Implement Load Balancing on Compute Engine Earned paź 2, 2020 EDT
Odznaka dla NCAA® March Madness®: Bracketology with Google Cloud NCAA® March Madness®: Bracketology with Google Cloud Earned kwi 9, 2020 EDT
Odznaka dla Cloud Development Cloud Development Earned paź 17, 2019 EDT
Odznaka dla Application Development - Python Application Development - Python Earned paź 17, 2019 EDT
Odznaka dla Intermediate ML: TensorFlow on Google Cloud Intermediate ML: TensorFlow on Google Cloud Earned paź 15, 2019 EDT
Odznaka dla Intro to ML: Image Processing Intro to ML: Image Processing Earned paź 4, 2019 EDT
Odznaka dla Machine Learning APIs Machine Learning APIs Earned paź 4, 2019 EDT
Odznaka dla Intro to ML: Language Processing Intro to ML: Language Processing Earned paź 4, 2019 EDT
Odznaka dla Baseline: Data, ML, AI Baseline: Data, ML, AI Earned paź 3, 2019 EDT
Odznaka dla DevOps Essentials DevOps Essentials Earned paź 1, 2019 EDT
Odznaka dla BigQuery for Machine Learning BigQuery for Machine Learning Earned wrz 26, 2019 EDT
Odznaka dla Cloud Hero Speedrun: Data Solutions Cloud Hero Speedrun: Data Solutions Earned sie 30, 2019 EDT
Odznaka dla Cloud Hero Speedrun: IoT & Big Data Cloud Hero Speedrun: IoT & Big Data Earned sie 23, 2019 EDT
Odznaka dla Cloud Engineering Cloud Engineering Earned sie 23, 2019 EDT
Odznaka dla Kubernetes in Google Cloud Kubernetes in Google Cloud Earned sie 22, 2019 EDT
Odznaka dla Cloud Architecture Cloud Architecture Earned sie 22, 2019 EDT
Odznaka dla Baseline: Infrastructure Baseline: Infrastructure Earned sie 21, 2019 EDT
Odznaka dla Google Cloud Essentials Google Cloud Essentials Earned sie 21, 2019 EDT

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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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. 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 the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

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Chcesz zwiększyć zakres swoich analiz danych bez konieczności zarządzania serwerem z bazą danych? Poznaj sprawdzone metody wykonywania zapytań i uzyskiwania statystyk ze swojej hurtowni danych dzięki tej interaktywnej serii modułów dotyczących BigQuery. BigQuery to w pełni zarządzana i zautomatyzowana baza danych Google pozwalająca przeprowadzać analizę danych niskim kosztem. Umożliwia przeszukiwanie terabajtów danych bez konieczności zarządzania infrastrukturą czy zatrudniania administratora bazy danych. BigQuery używa języka SQL i może wykorzystywać model płatności według wykorzystania. Dzięki BigQuery możesz skupić się na analizowaniu danych i znajdowaniu przydatnych statystyk. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud.

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Big data, systemy uczące się i sztuczna inteligencja to popularne tematy w branży IT, ale są to wyspecjalizowane dziedziny, przez co trudno znaleźć materiały wprowadzające w te zagadnienia. Na szczęście Google Cloud zapewnia łatwe w użyciu usługi związane z tymi obszarami, a w Qwiklabs dostępny jest kurs z poziomu wprowadzającego, który pozwala wypróbować narzędzia, takie jak Big Query, Cloud Speech API czy AI Platform. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud. Przez kluczowe pojęcia dotyczące poszczególnych modułów przeprowadzą Cię 1-minutowe filmy.

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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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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This quest will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Networking Fundamentals in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.

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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 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 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 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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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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Jeśli jesteś początkującym programistą aplikacji internetowych i potrzebujesz dodatkowych ćwiczeń praktycznych (poza zawartymi w kursie Pierwsze kroki – Tworzenie zasobów w Google Cloud i zarządzanie nimi), ten kurs jest dla Ciebie. Obejmuje on moduły dotyczące Cloud Storage i innych kluczowych aplikacji oraz usług, takich jak Stackdriver czy Cloud Functions. Uczestnicząc w nim, zdobędziesz wartościowe umiejętności i doświadczenie przydatne w każdym projekcie Google Cloud. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud. Przez kluczowe pojęcia dotyczące poszczególnych modułów przeprowadzą Cię 1-minutowe filmy.

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Ukończ szkolenie wprowadzające Implement Load Balancing on Compute Engine, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: pisanie poleceń gcloud przy użyciu Cloud Shell, tworzenie i wdrażanie maszyn wirtualnych w Compute Engine oraz konfigurowanie systemów równoważenia obciążenia sieci i HTTP. Odznaka umiejętności to wyjątkowa cyfrowa odznaka wydawana przez Google Cloud, która potwierdza Twoją wiedzę o produktach i usługach Google Cloud. Aby ją zdobyć, musisz pokazać, że potrafisz zastosować zdobytą wiedzę, w praktycznym, interaktywnym środowisku. Ukończ to szkolenie oraz moduł Challenge Lab, aby zdobyć odznakę umiejętności, którą możesz udostępnić w swojej sieci kontaktów.

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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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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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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.

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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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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other 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 image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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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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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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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out! 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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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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In today's game, you will explore how Google Cloud can help you solve real-world challenges with different data tools, while making progress on the Data Engineering quest. Want to learn more about what data can do? Check out how the New York Times, Macy's and healthcare researchers are using tools like Kubernetes and Tensorflow: http://bit.ly/32e0bwi

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In today's game, you will explore the overlap between IoT and big data, while continuing to make progress on the Data Engineering quest. Start by familiarizing yourself with key IoT concepts then challenge yourself to build an IoT Analytics Pipeline. Put GCP to the test and explore key solutions to common use cases and gain hands-on experience with IoT data at scale, ETL processing and more, plus score points and compete with other players in today's game.

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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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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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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 Professional Cloud Architect 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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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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