Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
Apply your skills in Google Cloud console
Ismael Jara Gutierrez
Date d'abonnement : 2025
Create ML Models with BigQuery ML
Earned mai 7, 2026 EDT
Create Your First Gemini Enterprise Application
Earned mai 7, 2026 EDT
Build a Secure Google Cloud Network
Earned mai 6, 2026 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 6, 2026 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 4, 2026 EDT
Build Infrastructure with Terraform on Google Cloud
Earned avr. 28, 2026 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned avr. 24, 2026 EDT
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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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and NotebookLM for focused analysis.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
Create ML Models with BigQuery ML
Earned mai 7, 2026 EDT
Create Your First Gemini Enterprise Application
Earned mai 7, 2026 EDT
Build a Secure Google Cloud Network
Earned mai 6, 2026 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 6, 2026 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 4, 2026 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned avr. 29, 2026 EDT
Build Infrastructure with Terraform on Google Cloud
Earned avr. 28, 2026 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned avr. 24, 2026 EDT