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Tajriyan Rahman

Member since 2019

Silver League

9000 points
Badge for Intermediate ML: TensorFlow on Google Cloud Intermediate ML: TensorFlow on Google Cloud Earned Eki 28, 2020 EDT
Badge for Machine Learning APIs Machine Learning APIs Earned Eki 28, 2020 EDT
Badge for Baseline: Data, ML, AI Baseline: Data, ML, AI Earned Eki 27, 2020 EDT
Badge for Intro to ML: Language Processing Intro to ML: Language Processing Earned Eki 27, 2020 EDT
Badge for DEPRECATED BigQuery for Data Analysis DEPRECATED BigQuery for Data Analysis Earned Eki 27, 2020 EDT
Badge for BigQuery for Marketing Analysts BigQuery for Marketing Analysts Earned Ağu 18, 2020 EDT
Badge for BigQuery for Data Warehousing BigQuery for Data Warehousing Earned Ağu 18, 2020 EDT
Badge for Applied Data: Blockchain Applied Data: Blockchain Earned Ağu 18, 2020 EDT
Badge for Cloud Engineering Cloud Engineering Earned Ağu 18, 2020 EDT
Badge for Data Catalog Fundamentals Data Catalog Fundamentals Earned Ağu 17, 2020 EDT
Badge for BigQuery Basics for Data Analysts BigQuery Basics for Data Analysts Earned Ağu 17, 2020 EDT
Badge for BigQuery for Machine Learning BigQuery for Machine Learning Earned Ağu 17, 2020 EDT
Badge for Develop your Google Cloud Network Develop your Google Cloud Network Earned Ağu 5, 2020 EDT
Badge for Build a Secure Google Cloud Network Build a Secure Google Cloud Network Earned Ağu 5, 2020 EDT
Badge for Build a Website on Google Cloud Build a Website on Google Cloud Earned Ağu 4, 2020 EDT
Badge for Deploy Kubernetes Applications on Google Cloud Deploy Kubernetes Applications on Google Cloud Earned Ağu 4, 2020 EDT
Badge for [DEPRECATED] Build Interactive Apps with Google Assistant [DEPRECATED] Build Interactive Apps with Google Assistant Earned Ağu 1, 2020 EDT
Badge for Insights from Data with BigQuery Insights from Data with BigQuery Earned Tem 29, 2020 EDT
Badge for Google Developer Essentials Google Developer Essentials Earned Tem 28, 2020 EDT
Badge for Perform Foundational Infrastructure Tasks in Google Cloud Perform Foundational Infrastructure Tasks in Google Cloud Earned Tem 28, 2020 EDT
Badge for Anthos: Service Mesh Anthos: Service Mesh Earned Tem 27, 2020 EDT
Badge for Cloud Healthcare API Cloud Healthcare API Earned Tem 26, 2020 EDT
Badge for Implement Load Balancing on Compute Engine Implement Load Balancing on Compute Engine Earned Tem 22, 2020 EDT
Badge for Google Cloud Essentials Google Cloud Essentials Earned Tem 22, 2020 EDT
Badge for NCAA® March Madness®: Bracketology with Google Cloud NCAA® March Madness®: Bracketology with Google Cloud Earned Tem 22, 2020 EDT
Badge for Security & Identity Fundamentals Security & Identity Fundamentals Earned Tem 21, 2020 EDT
Badge for Workspace Essentials Workspace Essentials Earned Ara 11, 2019 EST

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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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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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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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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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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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. 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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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this Quest utilizes advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

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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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Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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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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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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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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Bu görevde, web sitenizin kullanılabilir ve ölçeklenebilir olmasını sağlayacak dört Google Cloud web sitesi mimarisini öğreneceksiniz. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız. Kendinizi sınayabileceğiniz bu laboratuvar, önceden belirlenmiş bazı adımları yerine getirmenizi ister, ancak çözümlerin asgari seviyede yönlendirmeyle oluşturulmasını zorunlu kılar ve Google Cloud teknolojisiyle ilişkili yeteneklerinizi teste tabi tutar. Bu görev, Get Cooking in Cloud video serisi temel alınarak hazırlanmıştır.

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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 Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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 quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Veri analizi girişimlerinizi, veritabanı donanımını yönetme zahmeti olmadan ölçeklemek mi istiyorsunuz? BigQuery laboratuvarlarından oluşan bu etkileşimli seride, veri ambarınızı sorgulama ve veri ambarınızla ilişkili analizleri alma konusunda en iyi uygulamaları öğrenebilirsiniz. BigQuery, Google’ın tümüyle yönetilen, NoOps özellikli, düşük maliyetli analitik veritabanıdır. BigQuery ile terabaytlarca veriyi, yönetilmesi gereken bir altyapıya ya da bir veritabanı yöneticisine ihtiyaç duymadan sorgulayabilirsiniz. SQL kullanan BigQuery’de, kullandıkça öde modelinin avantajlarından yararlanabilirsiniz. Ayrıca BigQuery, anlamlı bulgular elde edebilmeniz için veri analizine odaklanmanıza olanak sağlar. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız.

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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.

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Getting Started - Create and Manage Cloud Resources görevinden daha üst seviyede pratik yapmak isteyen, sınırlı deneyime sahip bir bulut geliştiricisiyseniz bu görev tam size göre. Cloud Storage ve Stackdriver ile Cloud Functions gibi diğer önemli uygulama hizmetlerini konu alan laboratuvarlar sayesinde pratik deneyim sahibi olacaksınız. Bu göreve katılarak herhangi bir Google Cloud girişiminde kullanabileceğiniz değerli beceriler edineceksiniz. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız. Laboratuvarlarda, anahtar kavramlarla ilgili 1 dakikalık yol gösterici videolar bulunur.

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This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.

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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

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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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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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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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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections. 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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Workspace (formerly G Suite) is Google's collaborative applications platform, delivered from Google Cloud. In this introductory-level quest, you will get hands-on practice with Workspace’s core applications from a user perspective. Although there are many more applications and tool components to Workspace than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications.

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