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Mettez en pratique vos compétences dans la console Google Cloud

Samreshan Sahani

Date d'abonnement : 2024

Ligue d'Argent

9515 points
Build Infrastructure with Terraform on Google Cloud Earned août 9, 2024 EDT
Set Up an App Dev Environment on Google Cloud Earned août 9, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure Earned août 8, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine Earned juil. 6, 2024 EDT
Introduction to Responsible AI Earned juin 8, 2024 EDT
Introduction to Large Language Models Earned juin 8, 2024 EDT
Introduction to Generative AI Earned juin 8, 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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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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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 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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