Google Cloud
Generative AI Leader Specialization

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Google Cloud

Generative AI Leader Specialization

利用 Google Cloud 生成式 AI 重塑工作流. 从生成式 AI 的概况入手,了解如何利用生成式 AI 和 GC 推动组织转型

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Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 介绍生成式 AI 如何在各类业务职能和行业中推动组织转型。

  • 定义生成式 AI 的核心概念,包括人工智能、生成式 AI 和机器学习(监督式学习、非监督式学习、强化学习)。

  • 识别生成式 AI 架构的核心层(基础设施、模型、平台、智能体、应用)。

  • 说明如何将生成式 AI 智能体的各个部分组合起来,构建强大的解决方案。

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Taught in Chinese (Simplified)
Recently updated!

December 2025

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Specialization - 5 course series

What you'll learn

  • 介绍生成式 AI 如何改变各个业务职能和各个行业的组织。

  • 介绍生成式 AI 如何使用基础模型和提示工程来创造价值。

  • 介绍 Google Cloud 在生成式 AI 领域的独特优势。

  • 介绍 Google Cloud 建议的步骤,帮助组织成功实施变革性的生成式 AI 解决方案。

Skills you'll gain

Category: Generative AI
Category: Prompt Engineering
Category: Google Cloud Platform
Category: Responsible AI
Category: Cloud Platforms
Category: AI Product Strategy
Category: Artificial Intelligence

What you'll learn

  • 定义并描述生成式 AI 的核心概念。

  • 介绍如何在生成式 AI 中使用各种数据类型来解决业务问题、推动创新并获得竞争优势。

  • 介绍基础模型在生成式 AI 中的角色,包括其功能和局限性。

  • 介绍 Google Cloud 推荐的应对 LLM 局限性的策略。

Skills you'll gain

Category: Generative AI
Category: Unstructured Data
Category: Responsible AI
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: AI Security
Category: Google Cloud Platform
Category: Data Ethics
Category: Model Evaluation
Category: Large Language Modeling
Category: Data Modeling

What you'll learn

  • 介绍生成式 AI 架构的各个层级,以及如何从不同切入点入手,满足特定的业务需求并推动创新。

  • 识别生成式 AI 架构的核心层(基础设施、模型、平台、智能体、应用)

  • 说明 Google Cloud 的 AI 优化型基础设施、数据中心和云计算平台如何支持生成式 AI 开发。

  • 说明在决定为特定应用使用 Google Cloud 生成式 AI 产品组合时,需要考虑的业务因素。

Skills you'll gain

Category: Generative AI
Category: MLOps (Machine Learning Operations)
Category: Innovation
Category: Artificial Intelligence
Category: LLM Application
Category: Responsible AI
Category: Data Centers
Category: AI Enablement
Category: Cloud Infrastructure
Category: Google Cloud Platform
Category: Gemini
Category: AI Product Strategy

What you'll learn

  • 介绍提示工程技术,以及如何利用提示工程实现更好的结果。

  • 介绍使用 Google 生成式 AI 应用的核心功能和业务价值。

  • 使用 Gem 和 NotebookLM 等工具开发自动化工作流,提高个人和团队的工作效率。

  • 应用接地技术,从语言模型生成相关且准确的回答。

Skills you'll gain

Category: Google Gemini
Category: Prompt Engineering
Category: Enterprise Security
Category: Generative AI
Category: Google Workspace
Category: Google Cloud Platform
Category: AI Workflows
Category: Retrieval-Augmented Generation
Category: Productivity Software

What you'll learn

  • 定义生成式 AI 智能体的组成部分及其协同工作方式。

  • 说明如何将生成式 AI 智能体的各个部分组合起来,构建强大的解决方案。

  • 介绍如何使用 Google Cloud 的生成式 AI 产品来创建生成式 AI 智能体。

  • 说明如何利用生成式 AI 技术来有效领导和管理组织转型。

Skills you'll gain

Category: Generative AI Agents
Category: Google Cloud Platform
Category: Retrieval-Augmented Generation
Category: AI Enablement
Category: Business Transformation
Category: Innovation
Category: Customer Engagement
Category: AI Product Strategy
Category: Tool Calling
Category: Prompt Engineering
Category: Organizational Strategy
Category: Generative AI

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Google Cloud Training
Google Cloud
2,025 Courses3,784,170 learners

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