Build LookML Objects in Looker
Earned May 16, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned May 15, 2024 EDT
Develop Serverless Apps with Firebase
Earned May 13, 2024 EDT
Integrating Applications with Gemini 1.0 Pro on Google Cloud
Earned May 13, 2024 EDT
Develop Serverless Apps with Firebase
Earned Ağu 11, 2023 EDT
Create ML Models with BigQuery ML
Earned Ağu 10, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Ağu 10, 2023 EDT
BigQuery Verilerinden Analiz Elde Etme
Earned Ağu 9, 2023 EDT
Prepare Data for Looker Dashboards and Reports
Earned Ağu 9, 2023 EDT
Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama
Earned Ağu 9, 2023 EDT
Build a Website on Google Cloud
Earned Ağu 7, 2023 EDT
Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
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Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
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Complete the intermediate Develop Serverless Apps with Firebase skill badge course 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.
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This short course on integrating applications with Gemini 1.0 Pro models on Google Cloud helps you discover the Gemini API and its generative AI models. The course teaches you how to access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code. It lets you test the capabilities of the models with text, image, and video prompts from an app.
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Complete the intermediate Develop Serverless Apps with Firebase skill badge course 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.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
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Giriş düzeyindeki BigQuery Verilerinden Analiz Elde Etme beceri rozetini alarak şu konulardaki becerilerinizi gösterin: SQL sorguları yazma, herkese açık tabloları sorgulama, örnek verileri BigQuery'ye yükleme, BigQuery'deki sorgu doğrulayıcı ile yaygın söz dizimi sorunlarını giderme ve BigQuery verilerine bağlanarak Looker Studio'da rapor oluşturma.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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Giriş düzeyindeki Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Dataprep by Trifacta ile veri temizleme, Dataflow'da veri ardışık düzenleri çalıştırma, Dataproc'ta küme oluşturma ve Apache Spark işleri çalıştırma ve makine öğrenimi API'lerini (Cloud Natural Language API, Google Cloud Speech-to-Text API ve Video Intelligence API dahil olmak üzere) çağırma. Beceri rozeti, Google Cloud ürün ve hizmetlerindeki uzmanlık düzeyiniz karşılığında Google Cloud tarafından verilen özel bir dijital rozettir. Bilgilerinizi, etkileşimli ve uygulamalı bir ortamda kullanma becerinizi test eder. Ağınızla paylaşabileceğiniz bir beceri rozeti kazanmak için bu beceri rozeti kursunu ve son değerlendirme niteliğindeki yarışma laboratuvarını tamamlayın.
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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.
Build LookML Objects in Looker
Earned May 16, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned May 15, 2024 EDT
Develop Serverless Apps with Firebase
Earned May 13, 2024 EDT
Integrating Applications with Gemini 1.0 Pro on Google Cloud
Earned May 13, 2024 EDT
Develop Serverless Apps with Firebase
Earned Ağu 11, 2023 EDT
Create ML Models with BigQuery ML
Earned Ağu 10, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Ağu 10, 2023 EDT
BigQuery Verilerinden Analiz Elde Etme
Earned Ağu 9, 2023 EDT
Prepare Data for Looker Dashboards and Reports
Earned Ağu 9, 2023 EDT
Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama
Earned Ağu 9, 2023 EDT
Build a Website on Google Cloud
Earned Ağu 7, 2023 EDT