Introduction to Generative AI
Earned jan. 22, 2024 EST
Baseline: Data, ML, AI
Earned nov. 7, 2022 EST
Share Data Using Google Data Cloud
Earned nov. 3, 2022 EDT
Automate Data Capture at Scale with Document AI
Earned nov. 2, 2022 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned oct. 30, 2022 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned oct. 26, 2022 EDT
Data Catalog Fundamentals
Earned oct. 25, 2022 EDT
Derive Insights from BigQuery Data
Earned oct. 24, 2022 EDT
BigQuery for Machine Learning
Earned oct. 22, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned oct. 22, 2022 EDT
Prepare Data for Looker Dashboards and Reports
Earned oct. 21, 2022 EDT
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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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 Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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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 introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). 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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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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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.
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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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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.
Introduction to Generative AI
Earned jan. 22, 2024 EST
Baseline: Data, ML, AI
Earned nov. 7, 2022 EST
Share Data Using Google Data Cloud
Earned nov. 3, 2022 EDT
Automate Data Capture at Scale with Document AI
Earned nov. 2, 2022 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned oct. 30, 2022 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned oct. 26, 2022 EDT
Data Catalog Fundamentals
Earned oct. 25, 2022 EDT
Derive Insights from BigQuery Data
Earned oct. 24, 2022 EDT
BigQuery for Machine Learning
Earned oct. 22, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned oct. 22, 2022 EDT
Prepare Data for Looker Dashboards and Reports
Earned oct. 21, 2022 EDT