Build a Data Warehouse with BigQuery
Earned Jun 29, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Jun 28, 2023 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Jun 27, 2023 EDT
[DEPRECATED] Data Engineering
Earned Jun 26, 2023 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned Jun 25, 2023 EDT
Generative AI Explorer - Vertex AI
Earned Jun 23, 2023 EDT
Build a Website on Google Cloud
Earned Jun 23, 2023 EDT
Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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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; and building machine learning models using BigQuery ML.
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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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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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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 a Data Warehouse with BigQuery
Earned Jun 29, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Jun 28, 2023 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Jun 27, 2023 EDT
[DEPRECATED] Data Engineering
Earned Jun 26, 2023 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned Jun 25, 2023 EDT
Generative AI Explorer - Vertex AI
Earned Jun 23, 2023 EDT
Build a Website on Google Cloud
Earned Jun 23, 2023 EDT