Develop Serverless Applications on Cloud Run
Earned nov. 15, 2022 EST
Cloud Architecture: Design, Implement, and Manage
Earned nov. 14, 2022 EST
Build a Website on Google Cloud
Earned nov. 9, 2022 EST
Google Cloud Run Serverless Workshop
Earned nov. 7, 2022 EST
Google Cloud Essentials
Earned nov. 7, 2022 EST
DevOps Essentials
Earned nov. 5, 2022 EDT
Share Data Using Google Data Cloud
Earned nov. 4, 2022 EDT
Manage Data Models in Looker
Earned nov. 2, 2022 EDT
Prepare Data for Looker Dashboards and Reports
Earned oct. 28, 2022 EDT
Automate Data Capture at Scale with Document AI
Earned oct. 27, 2022 EDT
Baseline: Data, ML, AI
Earned oct. 26, 2022 EDT
Data Catalog Fundamentals
Earned oct. 26, 2022 EDT
Build a Data Warehouse with BigQuery
Earned oct. 26, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned oct. 25, 2022 EDT
Derive Insights from BigQuery Data
Earned oct. 25, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned oct. 24, 2022 EDT
BigQuery for Machine Learning
Earned oct. 24, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned oct. 22, 2022 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned oct. 21, 2022 EDT
Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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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
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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. 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…
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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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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!
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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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Complete the intermediate Manage Data Models in Looker skill badge course to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies.
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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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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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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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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 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 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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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 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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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 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.
Develop Serverless Applications on Cloud Run
Earned nov. 15, 2022 EST
Cloud Architecture: Design, Implement, and Manage
Earned nov. 14, 2022 EST
Build a Website on Google Cloud
Earned nov. 9, 2022 EST
Google Cloud Run Serverless Workshop
Earned nov. 7, 2022 EST
Google Cloud Essentials
Earned nov. 7, 2022 EST
DevOps Essentials
Earned nov. 5, 2022 EDT
Share Data Using Google Data Cloud
Earned nov. 4, 2022 EDT
Manage Data Models in Looker
Earned nov. 2, 2022 EDT
Prepare Data for Looker Dashboards and Reports
Earned oct. 28, 2022 EDT
Automate Data Capture at Scale with Document AI
Earned oct. 27, 2022 EDT
Baseline: Data, ML, AI
Earned oct. 26, 2022 EDT
Data Catalog Fundamentals
Earned oct. 26, 2022 EDT
Build a Data Warehouse with BigQuery
Earned oct. 26, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned oct. 25, 2022 EDT
Derive Insights from BigQuery Data
Earned oct. 25, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned oct. 24, 2022 EDT
BigQuery for Machine Learning
Earned oct. 24, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned oct. 22, 2022 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned oct. 21, 2022 EDT