Build Infrastructure with Terraform on Google Cloud
Earned nov. 25, 2024 EST
Gemini for Cloud Architects
Earned oct. 30, 2024 EDT
Introduction to Image Generation
Earned oct. 30, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 30, 2024 EDT
Prompt Design in Vertex AI
Earned oct. 30, 2024 EDT
Introduction to Responsible AI
Earned oct. 28, 2024 EDT
Introduction to Large Language Models
Earned oct. 28, 2024 EDT
Getting Started with Terraform for Google Cloud
Earned oct. 27, 2024 EDT
Implement DevOps Workflows in Google Cloud
Earned oct. 25, 2024 EDT
Introduction to Generative AI
Earned sept. 24, 2024 EDT
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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
En savoir plus
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.
Build Infrastructure with Terraform on Google Cloud
Earned nov. 25, 2024 EST
Gemini for Cloud Architects
Earned oct. 30, 2024 EDT
Introduction to Image Generation
Earned oct. 30, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 30, 2024 EDT
Prompt Design in Vertex AI
Earned oct. 30, 2024 EDT
Introduction to Responsible AI
Earned oct. 28, 2024 EDT
Introduction to Large Language Models
Earned oct. 28, 2024 EDT
Getting Started with Terraform for Google Cloud
Earned oct. 27, 2024 EDT
Implement DevOps Workflows in Google Cloud
Earned oct. 25, 2024 EDT
Introduction to Generative AI
Earned sept. 24, 2024 EDT