Generate and Edit Media with Imagen, Gemini, and Veo
Earned Jul 15, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Jul 13, 2025 EDT
Empower Gen AI apps with tool use
Earned Jun 13, 2025 EDT
Trust and Security with Google Cloud
Earned May 28, 2025 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned May 28, 2025 EDT
Innovating with Google Cloud Artificial Intelligence
Earned May 28, 2025 EDT
Scaling with Google Cloud Operations
Earned May 27, 2025 EDT
Exploring Data Transformation with Google Cloud
Earned May 27, 2025 EDT
Google Workspace Security
Earned Apr 16, 2025 EDT
Google Workspace Core Services
Earned Apr 16, 2025 EDT
Google Workspace Data Governance
Earned Apr 10, 2025 EDT
Google Workspace User and Resource Management
Earned Apr 10, 2025 EDT
Cloud Storage 使用入门
Earned Nov 6, 2024 EST
Google Cloud 云计算基础知识
Earned Nov 4, 2024 EST
DEPRECATED Networking Fundamentals on Google Cloud
Earned Oct 30, 2024 EDT
Google Cloud 重要基础设施：核心服务
Earned Oct 22, 2024 EDT
设置 Google Cloud 网络
Earned Oct 21, 2024 EDT
Google Cloud 重要基础设施：基础
Earned Oct 17, 2024 EDT
Networking in Google Cloud: Routing and Addressing
Earned Oct 9, 2024 EDT
Logging and Monitoring in Google Cloud
Earned Oct 7, 2024 EDT
Configure Google Kubernetes Engine Networking
Earned Oct 6, 2024 EDT
Observability in Google Cloud
Earned Oct 6, 2024 EDT
Networking in Google Cloud: Load Balancing
Earned Oct 5, 2024 EDT
DEPRECATED Network Performance and Optimization
Earned Oct 5, 2024 EDT
Networking in Google Cloud: Network Security
Earned Oct 5, 2024 EDT
Networking in Google Cloud: Fundamentals
Earned Oct 5, 2024 EDT
Networking in Google Cloud: Hybrid and Multicloud
Earned Oct 3, 2024 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Oct 3, 2024 EDT
Networking in Google Cloud: Network Architecture
Earned Oct 3, 2024 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned Oct 2, 2024 EDT
Generative AI for Business Leaders
Earned Sep 12, 2024 EDT
Text Prompt Engineering Techniques
Earned Sep 5, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Sep 5, 2023 EDT
Search with AI Applications
Earned Sep 5, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Sep 5, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Sep 5, 2023 EDT
Vertex AI Studio 简介
Earned Sep 5, 2023 EDT
创建图片标注模型
Earned Sep 5, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Sep 5, 2023 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Aug 31, 2023 EDT
Configure your Workplace: Google Workspace for IT Admins
Earned Aug 29, 2023 EDT
Google Workspace 工具使用入门
Earned Aug 28, 2023 EDT
Google Workspace for Education
Earned Aug 27, 2023 EDT
在 Vertex AI 上构建和部署机器学习解决方案
Earned Aug 26, 2023 EDT
Securing your Network with Cloud Armor
Earned Aug 26, 2023 EDT
构建安全的 Google Cloud 网络
Earned Aug 26, 2023 EDT
在 Google Cloud 上实施云安全基础措施
Earned Aug 25, 2023 EDT
通过 BigQuery ML 创建机器学习模型
Earned Aug 24, 2023 EDT
使用 BigQuery 构建数据仓库
Earned Aug 24, 2023 EDT
Create and Manage Bigtable Instances
Earned Aug 24, 2023 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Aug 24, 2023 EDT
Create and Manage Cloud Spanner Instances
Earned Aug 23, 2023 EDT
Create and Manage AlloyDB Instances
Earned Aug 23, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Aug 20, 2023 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned Aug 19, 2023 EDT
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Aug 19, 2023 EDT
使用 Google Cloud Observability 进行监控和记录
Earned Aug 16, 2023 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned Aug 16, 2023 EDT
Generative AI Fundamentals
Earned Aug 11, 2023 EDT
Transformer 模型和 BERT 模型
Earned Aug 9, 2023 EDT
编码器-解码器架构
Earned Aug 9, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Aug 9, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Aug 7, 2023 EDT
在 Cloud Run 上开发无服务器应用
Earned Aug 6, 2023 EDT
注意力机制
Earned Aug 2, 2023 EDT
图像生成简介
Earned Aug 2, 2023 EDT
负责任的 AI 简介
Earned Aug 2, 2023 EDT
大型语言模型简介
Earned Aug 2, 2023 EDT
生成式 AI 简介
Earned Jun 16, 2023 EDT
Digital Transformation with Google Cloud
Earned Oct 16, 2022 EDT
Migration Summit 2022
Earned Jul 24, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Apr 25, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned Apr 19, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Feb 26, 2022 EST
这是一套自助式速成课程，向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务。学员将通过一系列视频讲座、演示和实操实验，探索和部署各种解决方案元素，包括安全互连网络、负载均衡、自动扩缩、基础架构自动化和代管式服务。
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Identify critical assets and their compliance requirements.
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This training course introduces Cloud NGFW. Topics include how Cloud NGFW provides centralized firewall management, centralized firewall visibility, advanced threat protection, and firewall insights.
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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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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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Agentspace 结合了 Google 在搜索和 AI 领域的专长。它是一款企业工具，让员工只需通过一个搜索栏，就能从文档库、电子邮件、聊天消息、工单系统及其他数据源中查找具体信息。Agentspace 助理还能帮助进行头脑风暴、开展研究、生成文档大纲并执行其他操作，比如邀请同事参加某日历活动。因此它能加快知识型工作的进度并提升协作效率。
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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Complete the Leverage best practices for developing, operating, and securing production-grade Conversational Agents skill badge to demonstrate your ability to implement a variety of best practices around development, deployment, and security. These will include: Using versions and environments, backing up with Git integration, leveraging test cases and CI/CD testing, tracking conversations with conversation history and logging, redacting data, and securing acceess to agent and webhook endpoints.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have develope…
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Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human agents.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Analyze patterns in conversational data with Conversational Insights skill badge to demonstrate your proficiency in analysing customer conversations with Conversational Insights. After completing this challenge, you will be ready to deploy Conversation Insights to improve customer service performance, and create better customer experiences.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Extend Gemini Enterprise Assistant Capabilities skill badge to demonstrate your ability to extend Gemini Enterprise assistant's capabilities with actions, grounding with Google Search, and a conversational agent.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
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If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini Enterprise apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
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AI Applications provides built-in analytics for your Vertex AI Search and Gemini Enterprise apps. Learn what metrics are tracked and how to view them in this course.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Do you want to keep your users engaged by suggesting content they'll love?
This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.
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Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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This course delves into the complexities of assessing the quality of large language model outputs. It examines the challenges enterprises face due to the subjective and sometimes incorrect nature of LLM responses, including hallucinations and inconsistent results. The course introduces various evaluation metrics for different tasks like classification, text generation, and question answering, such as Accuracy, Precision, Recall, F1 score, ROUGE, BLEU, and Exact Match. It also explores evaluation methods offered by Vertex AI LLM Evaluation Services, including computation-based, autorater, and human evaluation, providing insights into their application and benefits. Finally, the module covers how to unit test LLM applications within Vertex AI.
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This lab tests your ability to develop a real-world Generative AI Q&A solution using a RAG framework. You will use Firestore as a vector database and deploy a Flask app as a user interface to query a food safety knowledge base.
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Model Garden is a model library that helps you discover, test, and deploy models from Google and Google partners. Learn how to explore the available models and select the right ones for your use case. And how to deploy and interact with Model Garden models through the Google Cloud console and APIs.
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Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.
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Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of agents.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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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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In this skill bagde, you will demonstrate your ability to use and compare models available in the Vertex AI Model Garden. You'll deploy a model to a Vertex AI Endpoint, query other models via their API, and use Vertex AI's Gen AI evaluation service to measure the performance of multiple models.
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Learn how to create Hybrid Search applications using Vertex AI Vertex Search to combine semantic searching with keyword search to return results based on both semantic meaning and keyword matching.
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Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.
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Learn how to build your own Retrieval-Augmented Generation (RAG) solutions for greater control and flexibility than out-of-the-box implementations. Create a custom RAG solution using Vertex AI APIs, vector stores, and the LangChain framework.
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本课程探讨 BigQuery 中用于减轻 AI 幻觉的检索增强生成 (RAG) 解决方案。BigQuery 引入了 RAG 工作流，其中涵盖了创建嵌入、搜索向量空间和生成更优质的回答。本课程解释了这些步骤背后的概念原理，以及这些步骤在 BigQuery 中的实际实施过程。学完本课程后，学员将能够使用 BigQuery 和生成式 AI 模型（如 Gemini）以及嵌入模型来构建 RAG 流水线，以解决在具体情况下遇到的 AI 幻觉问题。
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Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Generate engaging media with Google's foundation models for media. Create new images with Imagen, or edit your existing photos by adding details or outpainting to create a wider view. Replace backgrounds to put your products in new scenes. And learn the basics of generating videos with Veo!
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Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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 assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!"
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An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also be referred to as tool use. Additionally, you can give a model the ability to search Google or search a data store of documents to ground its responses. In other words, to base its answers on that information. In this course, you’ll explore these concepts.
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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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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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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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This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
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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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This course equips learners with skills to govern data within their Google Workspace environment. Learners will explore data loss prevention rules in Gmail and Drive to prevent data leakage. They will then learn how to use Google Vault for data retention, preservation, and retrieval purposes. Next, they will learn how to configure data regions and export settings to align with regulations. Finally, learners will discover how to classify data using labels for enhanced organization and security.
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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.
Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers 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 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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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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完成设置 Google Cloud 网络课程，赢取技能徽章， 您将了解如何在 Google Cloud Platform 上执行基本的网络组建和管理任务 - 创建自定义网络、添加子网防火墙规则，然后创建虚拟机并测试 虚拟机之间相互通信时的延迟时间。
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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 course in the networking and Google Cloud series routing and addressing.
In this course, we'll cover the central routing and addressing concepts that are relevant to Google Cloud's networking capabilities.
Module one will lay the foundation by exploring network routing and addressing in Google Cloud, covering key building blocks such as routing IPv4, bringing your own IP addresses and setting up cloud DNS. In Module two will shift our focus to private connection options, exploring use cases and methods for accessing Google and other services privately using internal IP addresses.
By the end of this course, you'll have a solid grasp of how to effectively route and address your network traffic within Google Cloud.
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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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This course teaches you some basic Google Kubernetes Engine (GKE) networking. With written lectures, hands-on lab exercises, and quizzes, you learn how to set up services, facilitate communication, and configure secure access to your GKE applications.
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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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This training course builds on the concepts covered in the Networking in Google Cloud: Fundamentals course. Through presentations, demonstrations, and labs, participants explore and implement Cloud Load Balancing.
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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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Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security!
In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure.
The first module, Distributed Denial of Service (DDoS) Protection, covers how to fortify your network against Distributed Denial of Service (DDoS) attacks, ensuring uninterrupted availability of your services.
In the second module, Controlling Access to VPC Networks, you'll learn the network access control, enabling you to define permissions for who can access your resources and how.
Finally, in the third module, Advanced Security Monitoring and Analysis, we'll explore how to proactively detect and respond to potential threats, keeping your Google Cloud environment secure and resilient.
By the end of this course, you'll have a comprehensive understanding of Google Cloud network security.
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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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Welcome to the sixth course in our Networking and Google Cloud series, Hybrid and Multicloud. The first module will walk you through various cloud connectivity options, with a deep dive into Cloud Interconnect, exploring its different types and functionalities. In the second module, we'll cover Cloud VPN, discussing its implementation, high availability, VPN topologies, and the Network Connectivity Center for streamline management. By the end of this course, you will be able to explain the different connectivity options available to extend your on-premises and other cloud networks to Google Cloud, and analyze the suitability of different Google Cloud hybrid and multicloud connectivity services for specific use cases.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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Welcome to the third course of the "Networking in Google Cloud" series: Network Architecture!
In this course, you will explore the fundamentals of designing efficient and scalable network architectures within Google Cloud.
In the first module, Introduction to Network Architecture, we'll start by introducing you to the core components and concepts of network architecture, including subnets, routes, firewalls, and load balancing.
Then in the second module, network topologies, we'll dive into various network topologies commonly used in Google Cloud, discussing their strengths, and weaknesses.
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This course helps you structure your preparation for the Professional 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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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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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 content is deprecated. Please see the latest version of the course, here.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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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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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。
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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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。
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Earn a skill badge by completing the Configure your Workplace: Google Workspace for IT Admins quest, where you will get try out the Admin role for Workspace and learn to provision Groups, manage applications, security, and manage Meet. 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 quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成 Google Workspace 工具使用入门课程，赢取入门技能徽章。在此课程中，您将了解 Google 的协作平台 并学习如何使用 Gmail、Google 日历、Meet、Google 云端硬盘、Google 表格和 AppSheet。
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Earn a skill badge by completing the Google Workspace for Education quest, where you learn about a set of familiar Google apps and services tailored for schools and homeschools to collaborate, streamline instruction, and keep online learning safe. 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 quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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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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Learn to secure your deployments on Google Cloud, including: how to use Cloud Armor bot management to mitigate bot risk and control access from automated clients; use Cloud Armor denylists to restrict or allow access to your HTTP(S) load balancer at the edge of the Google Cloud; apply Cloud Armor security policies to restrict access to cache objects on Cloud CDN and Google Cloud Storage; and mitigate common vulnerabilities using Cloud Armor WAF rules.
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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。
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完成在 Google Cloud 上实施云安全基础措施技能徽章中级课程， 展示自己在以下方面的技能：使用 Identity and Access Management (IAM) 创建和分配角色； 创建和管理服务账号；跨虚拟私有云 (VPC) 网络实现专用连接； 使用 Identity-Aware Proxy 限制应用访问权限； 使用 Cloud Key Management Service (KMS) 管理密钥和加密数据；创建专用 Kubernetes 集群。
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完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。 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，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
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.
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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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.
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完成在 Google Cloud 上使用 Terraform 构建基础设施技能徽章中级课程， 展示您在以下方面的技能：在使用 Terraform 时遵循基础设施即代码 (IaC) 原则；利用 Terraform 配置 来预配和管理 Google Cloud 资源；管理有效状态（本地和远程）；以及将 Terraform 代码模块化，以方便重复使用和整理。
Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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。
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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。
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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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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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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The GSI Migration Summit is a curated collection of hands-on labs and quests that provide coverage of application migration. Security and analytics labs and quests have been added to provide coverage of key platform concepts and services.
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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。
Google Cloud 弹性基础设施：扩缩和自动化
Earned Aug 26, 2025 EDT
Evaluate Your Cloud Next Generation Firewall Needs
Earned Aug 25, 2025 EDT
Introduction to Cloud Next Generation Firewall
Earned Aug 25, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned Aug 19, 2025 EDT
Introduction to Security Principles in Cloud Computing
Earned Aug 18, 2025 EDT
借助 Agentspace 加速知识交流
Earned Aug 18, 2025 EDT
Introduction to AI Applications
Earned Aug 18, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Aug 15, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Aug 15, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Aug 15, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Aug 15, 2025 EDT
Analyze patterns in conversational data with Conversational Insights
Earned Aug 14, 2025 EDT
Configure AI Applications to optimize search results
Earned Aug 14, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned Aug 13, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Aug 13, 2025 EDT
Introduction to NotebookLM
Earned Aug 13, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Aug 13, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Aug 13, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned Aug 13, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Aug 13, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Aug 13, 2025 EDT
Recommendations with AI Applications
Earned Aug 13, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Aug 12, 2025 EDT
Model evaluation on Vertex AI
Earned Aug 12, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Aug 6, 2025 EDT
Find, Explore and Deploy Model Garden Models
Earned Aug 5, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned Aug 5, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Aug 5, 2025 EDT
利用 Vertex AI 实现机器学习运维 (MLOps)：模型评估
Earned Aug 5, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned Aug 5, 2025 EDT
Implement Hybrid Search
Earned Jul 31, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Jul 30, 2025 EDT
Implement RAG with Vertex AI
Earned Jul 30, 2025 EDT
使用 BigQuery 创建嵌入、向量搜索和 RAG
Earned Jul 28, 2025 EDT
Edit images with Imagen
Earned Jul 27, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned Jul 15, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Jul 13, 2025 EDT
Empower Gen AI apps with tool use
Earned Jun 13, 2025 EDT
Trust and Security with Google Cloud
Earned May 28, 2025 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned May 28, 2025 EDT
Innovating with Google Cloud Artificial Intelligence
Earned May 28, 2025 EDT
Scaling with Google Cloud Operations
Earned May 27, 2025 EDT
Exploring Data Transformation with Google Cloud
Earned May 27, 2025 EDT
Google Workspace Security
Earned Apr 16, 2025 EDT
Google Workspace Core Services
Earned Apr 16, 2025 EDT
Google Workspace Data Governance
Earned Apr 10, 2025 EDT
Google Workspace User and Resource Management
Earned Apr 10, 2025 EDT
Cloud Storage 使用入门
Earned Nov 6, 2024 EST
Google Cloud 云计算基础知识
Earned Nov 4, 2024 EST
DEPRECATED Networking Fundamentals on Google Cloud
Earned Oct 30, 2024 EDT
Google Cloud 重要基础设施：核心服务
Earned Oct 22, 2024 EDT
设置 Google Cloud 网络
Earned Oct 21, 2024 EDT
Google Cloud 重要基础设施：基础
Earned Oct 17, 2024 EDT
Networking in Google Cloud: Routing and Addressing
Earned Oct 9, 2024 EDT
Logging and Monitoring in Google Cloud
Earned Oct 7, 2024 EDT
Configure Google Kubernetes Engine Networking
Earned Oct 6, 2024 EDT
Observability in Google Cloud
Earned Oct 6, 2024 EDT
Networking in Google Cloud: Load Balancing
Earned Oct 5, 2024 EDT
DEPRECATED Network Performance and Optimization
Earned Oct 5, 2024 EDT
Networking in Google Cloud: Network Security
Earned Oct 5, 2024 EDT
Networking in Google Cloud: Fundamentals
Earned Oct 5, 2024 EDT
Networking in Google Cloud: Hybrid and Multicloud
Earned Oct 3, 2024 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Oct 3, 2024 EDT
Networking in Google Cloud: Network Architecture
Earned Oct 3, 2024 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned Oct 2, 2024 EDT
Generative AI for Business Leaders
Earned Sep 12, 2024 EDT
Text Prompt Engineering Techniques
Earned Sep 5, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Sep 5, 2023 EDT
Search with AI Applications
Earned Sep 5, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Sep 5, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Sep 5, 2023 EDT
Vertex AI Studio 简介
Earned Sep 5, 2023 EDT
创建图片标注模型
Earned Sep 5, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Sep 5, 2023 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Aug 31, 2023 EDT
Configure your Workplace: Google Workspace for IT Admins
Earned Aug 29, 2023 EDT
Google Workspace 工具使用入门
Earned Aug 28, 2023 EDT
Google Workspace for Education
Earned Aug 27, 2023 EDT
在 Vertex AI 上构建和部署机器学习解决方案
Earned Aug 26, 2023 EDT
Securing your Network with Cloud Armor
Earned Aug 26, 2023 EDT
构建安全的 Google Cloud 网络
Earned Aug 26, 2023 EDT
在 Google Cloud 上实施云安全基础措施
Earned Aug 25, 2023 EDT
通过 BigQuery ML 创建机器学习模型
Earned Aug 24, 2023 EDT
使用 BigQuery 构建数据仓库
Earned Aug 24, 2023 EDT
Create and Manage Bigtable Instances
Earned Aug 24, 2023 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Aug 24, 2023 EDT
Create and Manage Cloud Spanner Instances
Earned Aug 23, 2023 EDT
Create and Manage AlloyDB Instances
Earned Aug 23, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Aug 20, 2023 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned Aug 19, 2023 EDT
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Aug 19, 2023 EDT
使用 Google Cloud Observability 进行监控和记录
Earned Aug 16, 2023 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned Aug 16, 2023 EDT
Generative AI Fundamentals
Earned Aug 11, 2023 EDT
Transformer 模型和 BERT 模型
Earned Aug 9, 2023 EDT
编码器-解码器架构
Earned Aug 9, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Aug 9, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Aug 7, 2023 EDT
在 Cloud Run 上开发无服务器应用
Earned Aug 6, 2023 EDT
注意力机制
Earned Aug 2, 2023 EDT
图像生成简介
Earned Aug 2, 2023 EDT
负责任的 AI 简介
Earned Aug 2, 2023 EDT
大型语言模型简介
Earned Aug 2, 2023 EDT
生成式 AI 简介
Earned Jun 16, 2023 EDT
Digital Transformation with Google Cloud
Earned Oct 16, 2022 EDT
Migration Summit 2022
Earned Jul 24, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Apr 25, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned Apr 19, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Feb 26, 2022 EST