Preparing for Your Google Workspace Administrator Journey
Earned Dec 13, 2024 EST
Working with Notebooks in Vertex AI
Earned Nov 19, 2024 EST
Introduction to AI and Machine Learning on Google Cloud - 简体中文
Earned Nov 19, 2024 EST
Professional Machine Learning Engineer Study Guide
Earned Nov 19, 2024 EST
Gemini in Google Meet - 简体中文
Earned Nov 13, 2024 EST
Gemini in Gmail - 简体中文
Earned Nov 13, 2024 EST
Introduction to Gemini for Google Workspace - 简体中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Fairness & Bias - 简体中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Privacy & Safety - 简体中文
Earned Nov 13, 2024 EST
Machine Learning Operations (MLOps) for Generative AI - 简体中文
Earned Nov 12, 2024 EST
Responsible AI for Developers: Interpretability & Transparency - 简体中文
Earned Nov 12, 2024 EST
Vector Search and Embeddings - 简体中文
Earned Nov 11, 2024 EST
Introduction to Vertex AI Studio - 简体中文
Earned Nov 11, 2024 EST
Create Image Captioning Models - 简体中文
Earned Nov 11, 2024 EST
Transformer Models and BERT Model - 简体中文
Earned Nov 11, 2024 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned Nov 8, 2024 EST
Encoder-Decoder Architecture - 简体中文
Earned Nov 8, 2024 EST
Attention Mechanism - 简体中文
Earned Nov 7, 2024 EST
Introduction to Image Generation - 简体中文
Earned Nov 7, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud - 简体中文
Earned Nov 7, 2024 EST
Prompt Design in Vertex AI
Earned Nov 7, 2024 EST
Build a Secure Google Cloud Network
Earned Nov 7, 2024 EST
Prepare Data for ML APIs on Google Cloud
Earned Nov 7, 2024 EST
基准：基础架构
Earned Nov 6, 2024 EST
Implement Load Balancing on Compute Engine
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Oct 29, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Oct 25, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 24, 2024 EDT
Introduction to Responsible AI - 简体中文
Earned Oct 17, 2024 EDT
Introduction to Large Language Models - 简体中文
Earned Oct 17, 2024 EDT
Introduction to Generative AI - 简体中文
Earned Oct 11, 2024 EDT
This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
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本课程介绍 Google Cloud 中的 AI 和机器学习 (ML) 服务，这些服务可构建预测式和生成式 AI 项目。本课程探讨从数据到 AI 的整个生命周期中可用的技术、产品和工具，包括 AI 基础、开发和解决方案。通过引人入胜的学习体验和实操练习，本课程可帮助数据科学家、AI 开发者和机器学习工程师提升技能和知识水平。
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This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Google Workspace 专用 Gemini 是一个插件，可为用户提供对生成式 AI 功能的访问权限。本课程深入探讨了“Google Meet 中的 Gemini”的功能。通过视频课程、实操活动和实际示例，您将全面了解 Google Meet 中的 Gemini 功能。您将学习如何使用 Gemini 生成背景图片、提高视频质量以及翻译字幕。学完本课程后，您将掌握相关知识和技能，能够自信地利用 Google Meet 中的 Gemini 尽可能提高视频会议的效率。
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Google Workspace 专用 Gemini 是一个插件，可在 Google Workspace 中为客户提供生成式 AI 功能。在本迷你课程中，您将了解 Gemini 的主要功能，以及如何在 Gmail 中使用这些功能来提高工作效率。
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Google Workspace 专用 Gemini 是一个插件，可在 Google Workspace 中为客户提供生成式 AI 功能。在本学习路线中，您将了解 Gemini 的主要功能，以及如何在 Google Workspace 中使用它们来提高工作效率。
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本课程介绍了 Responsible AI 的概念和 AI 原则，还介绍了在 AI/机器学习实践中识别公平性与偏见以及减少偏见的实用技巧，同时探索了使用 Google Cloud 产品和开源工具来实施 Responsible AI 最佳实践的实用方法和工具。
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本课程介绍 AI 隐私保护和安全方面的重要主题，还将探索使用 Google Cloud 产品和开源工具实施建议的 AI 隐私保护和安全实践的实用方法和工具。
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本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。
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本课程介绍了 AI 可解释性和透明度的相关概念，探讨了 AI 透明度对于开发者和工程师的重要性。同时探索了有助于在数据和 AI 模型中实现可解释性和透明度的实用方法及工具。
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本课程介绍 Vertex AI Vector Search，并说明如何使用它来通过嵌入大语言模型 (LLM) API 构建搜索应用。本课程包括以下内容：讲解矢量搜索和文本嵌入概念的讲座、关于如何在 Vertex AI 上构建矢量搜索的实际演示，以及一项实操实验。
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本课程介绍 Vertex AI Studio，这是一种用于生成式 AI 模型原型设计和自定义的工具。通过沉浸式课程、互动式演示和实操实验，您将探索生成式 AI 工作流，了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计和模型调优。本课程的目的在于帮助您利用 Vertex AI Studio，在自己的项目中充分发掘这些模型的潜力。
本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。
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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 Vertex AI 中的提示设计入门技能徽章课程，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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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Dataproc 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。 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，在您的人际圈中炫出自己的技能。
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 final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
了解详情
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.
了解详情
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
了解详情
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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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。
Preparing for Your Google Workspace Administrator Journey
Earned Dec 13, 2024 EST
Working with Notebooks in Vertex AI
Earned Nov 19, 2024 EST
Introduction to AI and Machine Learning on Google Cloud - 简体中文
Earned Nov 19, 2024 EST
Professional Machine Learning Engineer Study Guide
Earned Nov 19, 2024 EST
Gemini in Google Meet - 简体中文
Earned Nov 13, 2024 EST
Gemini in Gmail - 简体中文
Earned Nov 13, 2024 EST
Introduction to Gemini for Google Workspace - 简体中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Fairness & Bias - 简体中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Privacy & Safety - 简体中文
Earned Nov 13, 2024 EST
Machine Learning Operations (MLOps) for Generative AI - 简体中文
Earned Nov 12, 2024 EST
Responsible AI for Developers: Interpretability & Transparency - 简体中文
Earned Nov 12, 2024 EST
Vector Search and Embeddings - 简体中文
Earned Nov 11, 2024 EST
Introduction to Vertex AI Studio - 简体中文
Earned Nov 11, 2024 EST
Create Image Captioning Models - 简体中文
Earned Nov 11, 2024 EST
Transformer Models and BERT Model - 简体中文
Earned Nov 11, 2024 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned Nov 8, 2024 EST
Encoder-Decoder Architecture - 简体中文
Earned Nov 8, 2024 EST
Attention Mechanism - 简体中文
Earned Nov 7, 2024 EST
Introduction to Image Generation - 简体中文
Earned Nov 7, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud - 简体中文
Earned Nov 7, 2024 EST
Prompt Design in Vertex AI
Earned Nov 7, 2024 EST
Build a Secure Google Cloud Network
Earned Nov 7, 2024 EST
Prepare Data for ML APIs on Google Cloud
Earned Nov 7, 2024 EST
基准：基础架构
Earned Nov 6, 2024 EST
Implement Load Balancing on Compute Engine
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Oct 29, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Oct 25, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 24, 2024 EDT
Introduction to Responsible AI - 简体中文
Earned Oct 17, 2024 EDT
Introduction to Large Language Models - 简体中文
Earned Oct 17, 2024 EDT
Introduction to Generative AI - 简体中文
Earned Oct 11, 2024 EDT