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Sohail Mujawar

Jest członkiem od 2019

Liga srebrna

7300 pkt.
Odznaka dla Perform Foundational Data, ML, and AI Tasks in Google Cloud Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned lis 1, 2020 EST
Odznaka dla DEPRECATED Explore Machine Learning Models with Explainable AI DEPRECATED Explore Machine Learning Models with Explainable AI Earned lis 1, 2020 EST
Odznaka dla Insights from Data with BigQuery Insights from Data with BigQuery Earned lis 1, 2020 EST
Odznaka dla Engineer Data for Predictive Modeling with BigQuery ML Engineer Data for Predictive Modeling with BigQuery ML Earned lis 1, 2020 EST
Odznaka dla Use Machine Learning APIs on Google Cloud Use Machine Learning APIs on Google Cloud Earned paź 31, 2020 EDT
Odznaka dla Develop your Google Cloud Network Develop your Google Cloud Network Earned paź 31, 2020 EDT
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 30, 2020 EDT
Odznaka dla Cloud Engineering Cloud Engineering Earned paź 30, 2020 EDT
Odznaka dla Set Up a Google Cloud Network Set Up a Google Cloud Network Earned paź 30, 2020 EDT
Odznaka dla Perform Foundational Infrastructure Tasks in Google Cloud Perform Foundational Infrastructure Tasks in Google Cloud Earned paź 25, 2020 EDT
Odznaka dla Implement Load Balancing on Compute Engine Implement Load Balancing on Compute Engine Earned paź 24, 2020 EDT
Odznaka dla [DEPRECATED] OK Google: Build Interactive Apps with Google Assistant [DEPRECATED] OK Google: Build Interactive Apps with Google Assistant Earned mar 10, 2020 EDT
Odznaka dla Diwali Speedrun Diwali Speedrun Earned paź 30, 2019 EDT
Odznaka dla Scientific Data Processing Scientific Data Processing Earned paź 29, 2019 EDT
Odznaka dla Data Science on Google Cloud Data Science on Google Cloud Earned paź 29, 2019 EDT
Odznaka dla [DEPRECATED] Data Engineering [DEPRECATED] Data Engineering Earned paź 27, 2019 EDT
Odznaka dla DEPRECATED BigQuery for Data Analysis DEPRECATED BigQuery for Data Analysis Earned paź 26, 2019 EDT
Odznaka dla Machine Learning APIs Machine Learning APIs Earned paź 25, 2019 EDT
Odznaka dla Intermediate ML: TensorFlow on Google Cloud Intermediate ML: TensorFlow on Google Cloud Earned paź 15, 2019 EDT
Odznaka dla BigQuery for Machine Learning BigQuery for Machine Learning Earned paź 11, 2019 EDT
Odznaka dla Intro to ML: Language Processing Intro to ML: Language Processing Earned paź 9, 2019 EDT
Odznaka dla Baseline: Data, ML, AI Baseline: Data, ML, AI Earned paź 7, 2019 EDT
Odznaka dla Google Cloud Essentials Google Cloud Essentials Earned paź 2, 2019 EDT

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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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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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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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 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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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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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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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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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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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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Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. 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 skill badge that you can share with your network.

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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

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Welcome to Diwali Speedrun! Here's some more fun for you this Diwali. Learn the ins and outs of the Google assistant with these interesting game labs. Complete the game labs one by one. The faster you complete the lab objectives, the higher your score. You can take each lab up to 5 times. Good luck!

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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.

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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.

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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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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

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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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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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