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在 Google Cloud 控制台中运用您的技能

Luis Tezen

成为会员时间:2022

白银联赛

5205 积分
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned Jun 11, 2025 EDT
在 Vertex AI 中设计提示 Earned Jun 4, 2025 EDT
负责任的 AI 简介 Earned Apr 22, 2025 EDT
大型语言模型简介 Earned Apr 17, 2025 EDT
生成式 AI 简介 Earned Apr 17, 2025 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned Oct 7, 2022 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned Oct 2, 2022 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned Sep 23, 2022 EDT
Google Cloud Essentials Earned Sep 22, 2022 EDT

随着企业对人工智能和机器学习的应用越来越广泛,以负责任的方式构建这些技术也变得更加重要。但对很多企业而言,真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI,本课程正适合您。 本课程将介绍 Google Cloud 目前如何践行 Responsible AI,以及从中总结的最佳实践和经验教训,便于您以此为框架构建自己的 Responsible AI 方法。

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完成 在 Vertex AI 中设计提示入门技能徽章课程,展示以下方面的技能: Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示,指导生成式 AI 输出, 以及将 Gemini 模型应用于真实的营销场景。 技能徽章 是由 Google Cloud 颁发的专属数字徽章,旨在认可 您在 Google Cloud 产品与服务方面的熟练度;您需要在 交互式实操环境中参加考核,证明自己运用所学知识的能力后才能获得。完成此技能 徽章课程和作为最终评估的实验室挑战赛,获得技能徽章, 并在您的社交圈中秀一秀自己的水平。

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这是一节入门级微课程,旨在解释什么是负责任的 AI、它的重要性,以及 Google 如何在自己的产品中实现负责任的 AI。此外,本课程还介绍了 Google 的 7 个 AI 开发原则。

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这是一节入门级微学习课程,探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能,还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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这是一节入门级微课程,旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This third course covers cloud automation and management tools and building secure networks.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.

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在此入门级挑战任务中,您可以使用 Google Cloud Platform 的基本工具和服务,开展真枪实弹的操作实训。“GCP 基本功能”是我们为 Google Cloud 学员推荐的第一项挑战任务。云知识储备微乎其微甚至零基础?不用担心!这项挑战任务会为您提供真枪实弹的实操经验,助您快速上手 GCP 项目。无论是要编写 Cloud Shell 命令还是部署您的第一台虚拟机,亦或是通过负载平衡机制或在 Kubernetes Engine 上运行应用,都可以通过“GCP 基本功能”了解该平台的基本功能之精要。点此观看 1 分钟视频,了解每个实验涉及的主要概念。

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