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Rachit Khurana

Member since 2022

Silver League

6400 points
Badge for Üretken Yapay Zekaya Giriş Üretken Yapay Zekaya Giriş Earned May 14, 2023 EDT
Badge for BigQuery for Machine Learning BigQuery for Machine Learning Earned May 26, 2022 EDT
Badge for Google Developer Essentials Google Developer Essentials Earned May 26, 2022 EDT
Badge for NCAA® March Madness®: Bracketology with Google Cloud NCAA® March Madness®: Bracketology with Google Cloud Earned May 26, 2022 EDT
Badge for Understand Your Google Cloud Costs Understand Your Google Cloud Costs Earned May 25, 2022 EDT
Badge for Workspace: Add-ons Workspace: Add-ons Earned May 25, 2022 EDT
Badge for Build a Website on Google Cloud Build a Website on Google Cloud Earned May 25, 2022 EDT
Badge for Website on Google Cloud Website on Google Cloud Earned May 24, 2022 EDT
Badge for Perform Foundational Infrastructure Tasks in Google Cloud Perform Foundational Infrastructure Tasks in Google Cloud Earned May 23, 2022 EDT
Badge for Develop Serverless Apps with Firebase Develop Serverless Apps with Firebase Earned May 22, 2022 EDT
Badge for [DEPRECATED] Build Interactive Apps with Google Assistant [DEPRECATED] Build Interactive Apps with Google Assistant Earned May 22, 2022 EDT
Badge for Build Apps & Websites with Firebase Build Apps & Websites with Firebase Earned May 20, 2022 EDT
Badge for [DEPRECATED] OK Google: Build Interactive Apps with Google Assistant [DEPRECATED] OK Google: Build Interactive Apps with Google Assistant Earned May 16, 2022 EDT
Badge for Baseline: Infrastructure Baseline: Infrastructure Earned May 11, 2022 EDT
Badge for Implement Load Balancing on Compute Engine Implement Load Balancing on Compute Engine Earned May 3, 2022 EDT
Badge for Google Cloud Essentials Google Cloud Essentials Earned May 1, 2022 EDT

Bu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenme yöntemlerinden nasıl farklı olduğunu açıklamayı amaçlayan giriş seviyesi bir mikro öğrenme kursudur. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google Araçlarını da kapsar.

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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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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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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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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.

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This quest of hands-on labs demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.

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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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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. 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 this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.

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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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Complete the intermediate Develop Serverless Apps with Firebase skill badge 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. 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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Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. 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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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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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. 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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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 course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can 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.

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