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.
在 Google Cloud 控制台中运用您的技能
Roopashree Pratahkal
成为会员时间：2025
钻石联赛
11867 积分
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned May 8, 2026 EDT
负责任的 AI 简介
Earned May 8, 2026 EDT
大型语言模型简介
Earned May 8, 2026 EDT
生成式 AI 简介
Earned May 8, 2026 EDT
Google Cloud 数据分析功能简介
Earned Jan 25, 2026 EST
Level 1: Compute, Storage and Monitoring
Earned Jan 11, 2026 EST
Google Cloud 云计算基础知识
Earned Aug 29, 2025 EDT
Level 2: Building with Cloud Tools
Earned Aug 26, 2025 EDT
在 Vertex AI 中设计提示
Earned Aug 15, 2025 EDT
Future Ready Skills
Earned Aug 14, 2025 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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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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本课程是 Google Cloud 数据分析认证的第一门课程（共五门）。在本课程中，您将认识云数据分析领域，并了解云数据分析师在数据获取、存储、处理和可视化方面的角色和职责。您将探索 BigQuery 和 Cloud Storage 等基于 Google Cloud 的工具的架构，以及如何使用这些工具有效地设计数据结构，以及展示和报告数据。
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A new year brings a fresh opportunity to build consistency in how you learn and apply cloud skills. In this challenge, you’ll deploy applications using App Engine and Cloud Run Functions, work with Compute Engine instances, and manage data through Cloud Storage using both the console and CLI. You’ll also define fine-grained access with custom IAM roles, analyze logs, create alerts from logs-based metrics, and monitor workloads across multiple projects. Together, these labs help you begin the year by strengthening essential cloud operations skills and developing habits that support reliable, well-monitored applications.
Get hands-on with building apps using Flutter, Dart, and AppSheet, and automate tasks with Document AI and Python. Learn to validate infrastructure with Terraform, monitor performance using Prometheus, and process data with Dataproc. You’ll also explore enterprise tools like Media CDN, Neo4j, and SAP integration while earning an exclusive Google Cloud Credential!
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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。
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Cloud roles are evolving fast—and staying future-ready means knowing more than just code. According to industry reports, over 70% of cloud professionals now work across app development, data engineering, and network management. This challenge is designed to equip you with skills across all three. You'll build dynamic apps with Flutter and Node.js, work with modern data tools like Firestore, LookML, and Cloud SQL, and strengthen your networking fundamentals with Cloud NAT, HA-VPN, and Private Google Access. There’s even a hands-on intro to machine learning with TensorFlow. These are the skills that don’t just meet today’s demands—they prepare you for what’s next!
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned May 8, 2026 EDT
负责任的 AI 简介
Earned May 8, 2026 EDT
大型语言模型简介
Earned May 8, 2026 EDT
生成式 AI 简介
Earned May 8, 2026 EDT
Google Cloud 数据分析功能简介
Earned Jan 25, 2026 EST
Level 1: Compute, Storage and Monitoring
Earned Jan 11, 2026 EST
Google Cloud 云计算基础知识
Earned Aug 29, 2025 EDT
Level 2: Building with Cloud Tools
Earned Aug 26, 2025 EDT
在 Vertex AI 中设计提示
Earned Aug 15, 2025 EDT
Future Ready Skills
Earned Aug 14, 2025 EDT