Share Data Using Google Data Cloud
Earned oct. 15, 2024 EDT
Managing Cloud Infrastructure with Terraform
Earned oct. 14, 2024 EDT
Use Machine Learning APIs on Google Cloud
Earned oct. 14, 2024 EDT
Derive Insights from BigQuery Data
Earned sept. 29, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned sept. 28, 2024 EDT
Manage Kubernetes in Google Cloud
Earned sept. 23, 2024 EDT
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.
En savoir plus
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 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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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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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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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 Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned oct. 15, 2024 EDT
Cloud Architecture: Design, Implement, and Manage
Earned oct. 15, 2024 EDT
Share Data Using Google Data Cloud
Earned oct. 15, 2024 EDT
Managing Cloud Infrastructure with Terraform
Earned oct. 14, 2024 EDT
Use Machine Learning APIs on Google Cloud
Earned oct. 14, 2024 EDT
Derive Insights from BigQuery Data
Earned sept. 29, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned sept. 28, 2024 EDT
Manage Kubernetes in Google Cloud
Earned sept. 23, 2024 EDT