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Kanwaljit Singh

成为会员时间:2023

Gen AI: Unlock Foundational Concepts Earned Jun 24, 2025 EDT
Gen AI: Beyond the Chatbot Earned Jun 24, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts Earned Jun 24, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI Earned Jun 24, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems Earned Jun 24, 2025 EDT
AI Boost Bites: "Eat the Frog" with NotebookLM Earned Jun 24, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned Jun 24, 2025 EDT
AI Boost Bites: Poke Holes in Your Strategy Earned Jun 24, 2025 EDT
AI Boost Bites: NotebookLM for Competitive Edge Earned Jun 24, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive Earned Jun 24, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM Earned Jun 24, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick Earned Jun 24, 2025 EDT
GDC Platform Introduction Earned Jan 13, 2025 EST
Google Cloud 重要基础设施:核心服务 Earned Nov 1, 2024 EDT
Google Cloud 重要基础设施:基础 Earned Nov 1, 2024 EDT
Observability in Google Cloud Earned Nov 1, 2024 EDT
Developing a Google SRE Culture Earned Nov 1, 2024 EDT
从 BigQuery 数据中挖掘数据洞见 Earned Oct 31, 2024 EDT
Classify Images with TensorFlow on Google Cloud Earned Oct 31, 2024 EDT
Introduction to Data Analytics in Google Cloud Earned Oct 30, 2024 EDT
Enterprise Database Migration Earned Oct 30, 2024 EDT
Preparing for your Professional Data Engineer Journey Earned Oct 29, 2024 EDT
Serverless Data Processing with Dataflow: Operations Earned Oct 29, 2024 EDT
Serverless Data Processing with Dataflow: Foundations Earned Oct 29, 2024 EDT
Google Security Operations - SOAR Developer Earned Oct 29, 2024 EDT
Manage Kubernetes in Google Cloud Earned Oct 28, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud Earned Oct 28, 2024 EDT
Build Google Cloud Infrastructure for Azure Professionals Earned Oct 24, 2024 EDT
Google Cloud IAM and Networking for Azure Professionals Earned Oct 24, 2024 EDT
Architecting with Google Kubernetes Engine: Foundations - 简体中文 Earned Oct 22, 2024 EDT
使用多模态 Gemini 和多模态 RAG 检查富文档 Earned Oct 20, 2024 EDT
面向开发者的 Responsible AI:公平性与偏见 Earned Oct 20, 2024 EDT
Vertex AI Studio 简介 Earned Oct 19, 2024 EDT
创建图片标注模型 Earned Oct 19, 2024 EDT
Transformer 模型和 BERT 模型 Earned Oct 19, 2024 EDT
编码器-解码器架构 Earned Oct 19, 2024 EDT
注意力机制 Earned Oct 19, 2024 EDT
矢量搜索和嵌入 Earned Oct 19, 2024 EDT
图像生成简介 Earned Oct 19, 2024 EDT
Introduction to Security in the World of AI Earned Oct 19, 2024 EDT
利用 Vertex AI 实现机器学习运维 (MLOps):模型评估 Earned Oct 19, 2024 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Oct 19, 2024 EDT
Professional Machine Learning Engineer Study Guide Earned Oct 19, 2024 EDT
Configure and Maintain CCAIP as an Admin Earned Oct 18, 2024 EDT
Manage Functions and Reporting with CCAIP Earned Oct 18, 2024 EDT
Handle Consumer Interactions with CCAIP Earned Oct 18, 2024 EDT
Networking in Google Cloud: Fundamentals Earned Oct 18, 2024 EDT
可靠的 Google Cloud 基础设施: 设计和流程 Earned Oct 18, 2024 EDT
在 Vertex AI 上构建和部署机器学习解决方案 Earned Oct 17, 2024 EDT
Managing Security in Google Cloud Earned Oct 17, 2024 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform Earned Oct 17, 2024 EDT
Create and Manage Cloud Spanner Instances Earned Oct 17, 2024 EDT
Building No-Code Apps with AppSheet: Automation Earned Oct 15, 2024 EDT
Building No-Code Apps with AppSheet: Foundations Earned Oct 14, 2024 EDT
Google Cloud Fundamentals for AWS Professionals Earned Oct 13, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Oct 13, 2024 EDT
Google Cloud 数据分析功能简介 Earned Oct 13, 2024 EDT
Scaling with Google Cloud Operations Earned Oct 12, 2024 EDT
Trust and Security with Google Cloud Earned Oct 12, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud Earned Oct 12, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned Oct 12, 2024 EDT
Exploring Data Transformation with Google Cloud Earned Oct 12, 2024 EDT
Digital Transformation with Google Cloud Earned Oct 12, 2024 EDT
开发 Google Cloud 网络 Earned Oct 12, 2024 EDT
Create and Manage Bigtable Instances Earned Oct 12, 2024 EDT
为 Google Cloud 配置服务账号和 IAM 角色 Earned Oct 12, 2024 EDT
Logging and Monitoring in Google Cloud Earned Oct 12, 2024 EDT
面向开发者的 Responsible AI:隐私保护和安全 Earned Oct 11, 2024 EDT
面向开发者的 Responsible AI:可解释性和透明度 Earned Oct 11, 2024 EDT
Google Cloud 上的 AI 和机器学习简介 Earned Oct 11, 2024 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud Earned Oct 11, 2024 EDT
在 Cloud Run 上开发无服务器应用 Earned Oct 9, 2024 EDT
在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成 Earned Oct 9, 2024 EDT
在 Google Cloud 上部署 Kubernetes 应用 Earned Oct 8, 2024 EDT
借助 Firebase 开发无服务器应用 Earned Oct 8, 2024 EDT
Developing Containerized Applications on Google Cloud Earned Oct 7, 2024 EDT
Developing Applications with Cloud Run Functions on Google Cloud Earned Oct 7, 2024 EDT
Service Orchestration and Choreography on Google Cloud Earned Oct 7, 2024 EDT
Developing Applications with Google Cloud: Foundations Earned Oct 7, 2024 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals Earned Oct 6, 2024 EDT
Google Cloud 基础知识:核心基础设施 Earned Oct 6, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey Earned Oct 6, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned Oct 6, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned Oct 6, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned Oct 6, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned Oct 6, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features Earned Sep 19, 2024 EDT
使用 Gemini 和 Streamlit 开发生成式 AI 应用 Earned Sep 18, 2024 EDT
DEPRECATED Network Performance and Optimization Earned Sep 17, 2024 EDT
Optimize Your Google Cloud Costs Earned Sep 15, 2024 EDT
在 Google Cloud 上为机器学习 API 准备数据 Earned Sep 14, 2024 EDT
构建安全的 Google Cloud 网络 Earned Sep 13, 2024 EDT
在 Compute Engine 上实现负载均衡 Earned Sep 13, 2024 EDT
在 Google Cloud 上设置应用开发环境 Earned Sep 13, 2024 EDT
适用于 DevOps 工程师的 Gemini Earned Sep 8, 2024 EDT
适用于网络工程师的 Gemini Earned Sep 8, 2024 EDT
面向数据科学家和分析师的 Gemini Earned Sep 8, 2024 EDT
适用于应用开发者的 Gemini Earned Sep 8, 2024 EDT
适用于端到端 SDLC 的 Gemini Earned Sep 5, 2024 EDT
适用于安全工程师的 Gemini Earned Sep 5, 2024 EDT
适用于云架构师的 Gemini Earned Sep 5, 2024 EDT
Google 云端硬盘中的 Gemini Earned Sep 5, 2024 EDT
Google Meet 中的 Gemini Earned Sep 5, 2024 EDT
Google 表格中的 Gemini Earned Sep 5, 2024 EDT
Google 幻灯片中的 Gemini Earned Sep 5, 2024 EDT
Google 文档中的 Gemini Earned Sep 5, 2024 EDT
Gmail 中的 Gemini Earned Sep 5, 2024 EDT
Gemini for Google Workspace 简介 Earned Sep 5, 2024 EDT
Google Security Operations - Deep Dive Earned Sep 2, 2024 EDT
Google Security Operations - Fundamentals Earned Sep 1, 2024 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned Sep 1, 2024 EDT
在 Vertex AI 中设计提示 Earned Sep 1, 2024 EDT
负责任的 AI 简介 Earned Aug 30, 2024 EDT
大型语言模型简介 Earned Aug 30, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job Earned Aug 29, 2024 EDT
Detect, Respond, and Recover from Cloud Cybersecurity Attacks Earned Aug 29, 2024 EDT
Cloud Security Risks: Identify and Protect Against Threats Earned Aug 27, 2024 EDT
Strategies for Cloud Security Risk Management Earned Aug 23, 2024 EDT
Introduction to Security Principles in Cloud Computing Earned Aug 21, 2024 EDT
生成式 AI 简介 Earned Dec 27, 2023 EST

Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.

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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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This course provides an introduction to the GDC platform—which enables you to host, control, and manage infrastructure and services directly on your premises. GDC air-gapped is one component of Google Distributed Cloud offering which aligns to Google’s digital sovereignty vision. It supports public-sector customers and commercial entities that have strict data residency, security or privacy requirements.

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这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务,着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验,探索和部署各种解决方案元素,包括网络、系统和应用服务等基础架构组件。本课程的内容还包括如何部署实用的解决方案,包括客户提供的加密密钥、安全和访问权限管理、配额和结算,以及资源监控。

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这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务,其中着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验,探索和部署各种解决方案元素,包括网络、虚拟机和应用服务等基础架构组件。您将学习如何通过控制台和 Cloud Shell 使用 Google Cloud。您还将了解云架构师角色、基础架构设计方法以及虚拟网络配置和虚拟私有云 (VPC)、项目、网络、子网、IP 地址、路由及防火墙规则。

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Welcome to the second part of the two part course, Observability in Google Cloud. This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

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完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”,展示您在以下方面的技能: 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误,以及通过连接到 BigQuery 数据在 Looker Studio 中 创建报告。 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此徽章 。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。

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Earn the intermediate skill badge by completing the Classify Images with TensorFlow on Google Cloud course where you will learn how to use TensorFlow and Vertex AI to create and train machine learning models. You will primarily interact with Vertex AI Workbench user-managed notebooks. 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 this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.

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This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services. This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.

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This course helps learners create a study plan for the PDE (Professional Data 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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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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This course helps developers customize Chronicle and augment its abilities with third party integrations.

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Complete the intermediate Manage Kubernetes in Google Cloud skill badge to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques. 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 this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.

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Earn a skill badge by completing the Build Google Cloud Infrastructure for Azure Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing. 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 this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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This is the first course of a four-course series for cloud architects and engineers with existing Azure knowledge, and it compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on Identity and Access Management (IAM) and networking in Google Cloud. The learners apply the knowledge of access management and networking in Azure to explore the similarities and differences with access management and networking in Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.

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在本课程“Google Kubernetes Engine 架构设计:基础知识”中,您将了解 Google Cloud 的概况和原理,然后学习如何创建和管理软件容器,以及了解 Kubernetes 的架构。 这是“Google Kubernetes Engine 架构设计”系列课程的第一门课程。完成本课程后,请报名参加“Google Kubernetes Engine 架构设计:工作负载”课程。

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完成中级技能徽章课程使用多模态 Gemini 和多模态 RAG 检查富文档,展示您在以下方面的技能: 将多模态与 Gemini 配合使用,从而使用多模态提示从文本数据和视觉数据中提取信息、生成视频说明、 检索视频中不包含的额外信息; 将多模态检索增强生成 (RAG) 与 Gemini 配合使用,以构建包含文本和图片的文档的元数据、获取所有相关文本块并输出引用。 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此徽章。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。

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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 Vertex AI Studio,这是一种用于与生成式 AI 模型交互、围绕业务创意进行原型设计并在生产环境中落地的工具。通过沉浸式应用场景、富有吸引力的课程和实操实验,您将探索从提示到产品的整个生命周期,了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计、提示工程和模型调优。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生成式 AI 的潜力。

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本课程教您如何使用深度学习来创建图片标注模型。您将了解图片标注模型的不同组成部分,例如编码器和解码器,以及如何训练和评估模型。学完本课程,您将能够自行创建图片标注模型并用来生成图片说明。

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本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分,例如自注意力机制,以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务,例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。

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本课程简要介绍了编码器-解码器架构,这是一种功能强大且常见的机器学习架构,适用于机器翻译、文本摘要和问答等 sequence-to-sequence 任务。您将了解编码器-解码器架构的主要组成部分,以及如何训练和部署这些模型。在相应的实验演示中,您将在 TensorFlow 中从头编写简单的编码器-解码器架构实现代码,以用于诗歌生成。

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本课程将向您介绍注意力机制,这是一种强大的技术,可令神经网络专注于输入序列的特定部分。您将了解注意力的工作原理,以及如何使用它来提高各种机器学习任务的性能,包括机器翻译、文本摘要和问题解答。

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在本次课程中,探索 AI 赋能的搜索技术、工具和应用。学习利用向量嵌入的语义搜索、融合语义和关键字的混合搜索方法,以及检索增强生成 (RAG) 技术,以打造基于事实的 AI 智能体,尽可能减少 AI 幻觉。获取 Vertex AI Vector Search 实战经验,打造您自己的智能搜索引擎。

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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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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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本课程能让机器学习从业者掌握评估生成式和预测式 AI 模型的基本工具、方法和最佳实践。要确保机器学习系统在实际运用中提供可靠、准确、高效的结果,做好模型评估至关重要。 学员将深入了解各项评估指标、方法及如何在不同模型类型和任务中适当应用这些指标和方法。课程将着重介绍生成式 AI 模型带来的独特挑战,并提供有效解决这些挑战的策略。通过利用 Google Cloud 的 Vertex AI Platform,学员可学习如何在模型选择、优化和持续监控工作中实施卓有成效的评估流程。

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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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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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Configure and Maintain CCAIP as an Admin is a course that provides end users with essential learning about the core features, functionality, reporting, and configuration information most relevant to the role. This course is most appropriate for those who perform administrative functions to support the operation of the contact center as well as analyze, troubleshoot, and configure the platform to best meet the demands of customers. While this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled, “Managing Functions and Reporting with CCAIP.”

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Manage Functions and Reporting with CCAI Platform provides end-users with essential training about the core features, functionality, monitoring, reporting, and configuration information that is most relevant to the role. This course is most appropriate for those at the managerial level of the contact center who are tasked with monitoring the effectiveness, efficiency, and KPI attainment for all consumer interactions. While this program will review some aspects of settings and configuration options, the major focus is on reporting functionality in CCAI Platform.

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This course teaches contact center agents about the core agent features and functionality in Contact Center AI Platform (CCAIP). CCAIP is a unified contact center platform that accelerates an organization's ability to leverage and deploy CCAI without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.

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Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.  This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques. 

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本课程指导学员运用久经考验的设计模式在 Google Cloud 上构建高度可靠且高效的解决方案。它是“Google Compute Engine 架构设计”或“Google Kubernetes Engine 架构设计”课程的延续,并假定您有使用其中任何一门课程所涵盖技术的实践经验。通过一系列演示、设计活动和动手实验,学员可以了解如何定义及平衡业务要求和技术要求,以便设计可靠性和可用性高、安全且经济实惠的 Google Cloud 部署。

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完成在 Vertex AI 上构建和部署机器学习解决方案课程,赢取中级技能徽章。 在此课程中,您将了解如何使用 Google Cloud 的 Vertex AI Platform、AutoML 以及自定义训练服务来 训练、评估、调优、解释和部署机器学习模型。 此技能徽章课程的目标受众是专业的数据科学家和机器学习 工程师。 技能徽章是由 Google Cloud 颁发的专属数字徽章,旨在认可 您对 Google Cloud 产品与服务的熟练度;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此徽章。完成此技能徽章课程 和作为最终评估的实验室挑战赛,即可获得数字徽章, 在您的人际圈中炫出自己的技能。

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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.

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In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Security on Google Cloud's Apigee API Platform course.

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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.

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This course helps you recognize the need to implement business process automation in your organization. You learn about automation patterns and use cases, and how to use AppSheet constructs to implement automation in your app. You learn about the various features of AppSheet automation, and integrate your app with Google Workspace products. You also learn how to send email, push notifications and text messages from your app, parse documents and generate reports with AppSheet automation.

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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.

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Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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在本新手级课程中,您将了解 Google Cloud 数据分析工作流,以及可用于探索、分析和直观呈现数据并与相关人员共享发现结果的工具。结合案例研究、实操实验、讲座和测验/演示,本课程展示了如何将原始数据集转化为纯净数据,进而转化为实用的可视化图表和信息中心。无论您是已经在从事数据工作并想了解如何通过 Google Cloud 取得成功,还是在寻求职业发展,都可以借助本课程迈出第一步。几乎所有在工作中执行或使用数据分析的人都可以从本课程中受益。

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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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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完成开发 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将学习 部署和监控应用的多种方法,包括执行以下任务的方法:探索 IAM 角色并添加/移除 项目访问权限、创建 VPC 网络、部署和监控 Compute Engine 虚拟机、 编写 SQL 查询、在 Compute Engine 中部署和监控虚拟机,以及使用 Kubernetes 通过多种部署方法部署应用。 技能徽章是 由 Google Cloud 颁发的专有数字徽章,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,即可获得技能徽章,并在您的社区圈中秀一秀 自己的水平。

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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.

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完成“为 Google Cloud 配置服务账号和 IAM 角色”课程,赢取入门级技能徽章。在本课程中,您将了解服务账号、自定义角色以及如何使用 gcloud 设置权限。

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This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud. Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.

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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 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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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.

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完成在 Cloud Run 上开发无服务器应用技能徽章中级课程, 展示您在以下方面的技能:集成 Cloud Run 与 Cloud Storage 以管理数据, 使用 Cloud Run 和 Pub/Sub 设计弹性异步系统架构, 构建依托 Cloud Run 技术的 REST API 网关,以及在 Cloud Run 上构建和部署服务。 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此徽章。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成就。

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这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 1.0 Pro 模型集成,可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。

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完成在 Google Cloud 上部署 Kubernetes 应用技能徽章中级课程,展示您在以下方面的技能: 配置和构建 Docker 容器映像,创建和管理 Google Kubernetes Engine (GKE) 集群,利用 kubectl 实现高效 集群管理,以及按照稳健的持续交付 (CD) 实践部署 Kubernetes 应用。 技能徽章是由 Google Cloud 颁发的专有数字徽章,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。

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完成借助 Firebase 开发无服务器应用技能徽章中级课程, 展示您在以下方面的技能:借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用; 利用 Firestore 管理数据库;利用 Cloud Build 自动完成部署流程; 以及将 Google 助理功能集成到您的应用中。 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。

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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.

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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.

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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.

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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.

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This course introduces the Cloud Run serverless platform for running applications. In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle. You learn about service identities, how to control access to services, and how to develop and test your application locally before deploying it to Cloud Run. The course also teaches you how to integrate with other services on Google Cloud so you can build full-featured applications.

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“Google Cloud 基础知识:核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务,并提供重要的资源和政策管理工具。

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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.

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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 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.

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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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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.

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完成中级技能徽章课程“使用 Gemini 和 Streamlit 开发生成式 AI 应用”,展示您在以下方面的技能: 文本生成、通过 Python SDK 和 Gemini API 应用函数调用,以及通过 Cloud Run 部署 Streamlit 应用。 您将了解如何以不同方式通过提示来让 Gemini 生成文本、使用 Cloud Shell 进行测试,以及如何迭代 Streamlit 应用,随后将其封装成 Docker 容器并部署在 Cloud Run 中。 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此徽章。 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。

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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.

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This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.

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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。

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完成构建安全的 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将了解与网络有关的众多 资源,以便在 Google Cloud 上构建、扩缩和保护自己的应用。 技能徽章是由 Google Cloud 颁发的专有数字徽章,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此徽章。完成此技能 徽章课程和作为最终评估的实验室挑战赛,即可获得技能徽章, 在您的人际圈中炫出自己的技能。

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完成入门级在 Compute Engine 上实现负载均衡技能徽章课程,展示自己在以下方面的技能: 编写 gcloud 命令和使用 Cloud Shell,在 Compute Engine 中创建和部署虚拟机, 以及配置网络和 HTTP 负载均衡器。 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; 该课程会检验您在交互式实操环境中运用所学知识的 能力。完成此技能徽章课程和作为最终评估的实验室挑战赛, 即可获得技能徽章,并在您的圈子中秀一秀。

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完成“在 Google Cloud 上设置应用开发环境”课程,赢取技能徽章;通过该课程,您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施: Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。 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。

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在本课程中,您将了解 Gemini(Google Cloud 推出的一款依托生成式 AI 的协作工具)如何帮助工程师管理基础设施。您将了解如何向 Gemini 输入提示,让其查找和理解应用日志、创建 GKE 集群,以及研究如何创建构建环境。您可以通过实操实验了解如何利用 Gemini 来改进 DevOps 工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 推出的一款依托生成式 AI 的协作工具)如何帮助网络工程师创建、更新和维护 VPC 网络。您将学习如何向 Gemini 输入提示,让其针对您的网络组建和管理任务,提供您从搜索引擎所无法获得的具体指导。您可以通过实操实验了解如何利用 Gemini 更轻松地使用 Google Cloud VPC 网络。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 的生成式 AI 赋能的协作工具)如何帮助分析客户数据并预测产品销售情况。此外,您还将了解如何在 BigQuery 中使用客户数据来识别、开发新客户并对其进行分类。通过动手实验,您将体验 Gemini 如何改进数据分析和机器学习工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Google Cloud 中依托生成式 AI 技术的协作工具 Gemini 如何帮助开发者构建应用。您将学习如何向 Gemini 输入提示,让其为您解释代码、推荐 Google Cloud 服务并为您的应用生成代码。您将通过实操实验体验 Gemini 对应用开发工作流的改进作用。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 推出的一款依托生成式 AI 的协作工具)如何帮助您使用 Google 产品和服务开发、测试、部署和管理应用。在 Gemini 的协助下,您可以学习如何开发和构建 Web 应用、修复应用中的错误、开发测试和查询数据。您可以通过实操实验了解如何利用 Gemini 来改进软件开发生命周期 (SDLC)。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 推出的一款依托生成式 AI 的协作工具)如何帮助您保护您的云环境和资源。您将学习如何将示例工作负载部署到 Google Cloud 环境中,以及如何借助 Gemini 识别和修复安全配置错误。您可以通过实操实验了解如何利用 Gemini 来改善云安全状况。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 的生成式 AI 赋能的协作工具)如何帮助管理员预配基础设施。您将了解如何通过输入提示来让 Gemini 解释基础设施、GKE 集群的部署,以及现有基础设施的更新。您可以通过实操实验了解如何利用 Gemini 来改进 GKE 部署工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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Gemini for Google Workspace 是一个插件,用户可通过它来使用生成式 AI 功能。本课程通过视频课程、实操活动和实际示例,深入探讨了“Google 云端硬盘中的 Gemini”的功能。 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 云端硬盘中的 Gemini 来改进工作流。

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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 Google 表格中使用它们来提高工作效率。

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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。在本迷你课程中,您将了解 Gemini 的主要功能,以及如何在 Google 幻灯片中使用它们来提高工作效率。

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Google Workspace 专用 Gemini 是一个插件,用户可通过它来使用生成式 AI 功能。本课程通过视频课程、实操活动和实际示例,深入探讨了“Google 文档中的 Gemini”的功能。您将学习如何使用 Gemini 来根据提示生成书面内容。您还会探索如何使用 Gemini 来修改已撰写好的文本,帮助提升整体工作效率。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 文档中的 Gemini 来提升写作水平。

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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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Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.

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This course covers the basline skills needed for the Chronicle Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.

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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 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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This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.

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This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.

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This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.

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This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.

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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.

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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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