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 Aug 11, 2023 EDT
Create ML Models with BigQuery ML
Earned Aug 10, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Aug 10, 2023 EDT
Derive Insights from BigQuery Data
Earned Aug 9, 2023 EDT
Prepare Data for Looker Dashboards and Reports
Earned Aug 9, 2023 EDT
Prepare Data for ML APIs on Google Cloud
Earned Aug 9, 2023 EDT
Build a Website on Google Cloud
Earned Aug 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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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
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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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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Earn the introductory skill badge by completing the Build a Website on Google Cloud skill badge course. This course is based on the Get Cooking in Cloud series and covers`:`Deploying a website on Cloud RunHosting a web app on Compute EngineCreating, deploying, and scaling your website on Google Kubernetes EngineMigrating from a monolithic application to a microservices architecture using Cloud Build
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 Aug 11, 2023 EDT
Create ML Models with BigQuery ML
Earned Aug 10, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Aug 10, 2023 EDT
Derive Insights from BigQuery Data
Earned Aug 9, 2023 EDT
Prepare Data for Looker Dashboards and Reports
Earned Aug 9, 2023 EDT
Prepare Data for ML APIs on Google Cloud
Earned Aug 9, 2023 EDT
Build a Website on Google Cloud
Earned Aug 7, 2023 EDT