Build a Certification Study Guide: PMLE
Earned Mar 16, 2026 EDT
Digital Transformation with Google Cloud
Earned Oct 13, 2025 EDT
Google Workspace Core Services
Earned Sep 14, 2025 EDT
Text Prompt Engineering Techniques
Earned Oct 27, 2024 EDT
Google Workspace User and Resource Management
Earned Jul 12, 2024 EDT
Generative AI Fundamentals - 简体中文
Earned Jun 20, 2024 EDT
负责任的 AI 简介
Earned Jun 19, 2024 EDT
大型语言模型简介
Earned Jun 18, 2024 EDT
生成式 AI 简介
Earned Jun 18, 2024 EDT
Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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This course was designed to give learners a comprehensive understanding of Google Workspace core services. Learners will explore enabling, disabling, and configuring settings for these services, including Gmail, Calendar, Drive, Meet, Chat, and Docs. Next, they'll learn how to deploy and manage Gemini to empower their users. Finally, learners will examine use cases for AppSheet and Apps Script to automate tasks and extend the functionality of Google Workspace applications.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course was designed to provide an understanding of user and resource management in Google Workspace. Learners will explore the configuration of organizational units to align with their organization's needs. Additionally, learners will discover how to manage various types of Google Groups. They will also develop expertise in managing domain settings within Google Workspace. Finally, learners will master the optimization and structuring of resources within their Google Workspace environment.
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完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。
技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。
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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。
Build a Certification Study Guide: PMLE
Earned Mar 16, 2026 EDT
Digital Transformation with Google Cloud
Earned Oct 13, 2025 EDT
Google Workspace Core Services
Earned Sep 14, 2025 EDT
Text Prompt Engineering Techniques
Earned Oct 27, 2024 EDT
Google Workspace User and Resource Management
Earned Jul 12, 2024 EDT
Generative AI Fundamentals - 简体中文
Earned Jun 20, 2024 EDT
负责任的 AI 简介
Earned Jun 19, 2024 EDT
大型语言模型简介
Earned Jun 18, 2024 EDT
生成式 AI 简介
Earned Jun 18, 2024 EDT