The Modern Data Platform and LookML
Earned Mar 17, 2025 EDT
Natural Language Processing on Google Cloud
Earned Mar 10, 2025 EDT
Feature Engineering
Earned Mar 8, 2025 EST
创建图片标注模型
Earned Mar 8, 2025 EST
Production Machine Learning Systems
Earned Mar 8, 2025 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Mar 7, 2025 EST
Launching into Machine Learning
Earned Mar 7, 2025 EST
Building AI with Colab Enterprise
Earned Mar 7, 2025 EST
Vector Search and Embeddings in Product Search
Earned Mar 2, 2025 EST
使用 BigQuery 创建嵌入、向量搜索和 RAG
Earned Mar 2, 2025 EST
Document AI: Building a Custom Document Extractor
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Process Data with Dataproc
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Design in BigQuery
Earned Feb 27, 2025 EST
Data Warehousing for Partners: BigQuery Extended Capabilities
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Streaming Analytics
Earned Feb 27, 2025 EST
Evaluate Your Cloud Next Generation Firewall Needs
Earned Feb 23, 2025 EST
Introduction to Cloud Next Generation Firewall
Earned Feb 23, 2025 EST
Unlocking the Power of Google Cloud Generative AI for Partners
Earned Feb 22, 2025 EST
Google Cloud Generative AI Trailblazer
Earned Feb 22, 2025 EST
Security Best Practices in Google Cloud
Earned Feb 22, 2025 EST
适用于生成式 AI 的机器学习运维 (MLOps)
Earned Feb 20, 2025 EST
Vertex AI Search for Commerce
Earned Feb 19, 2025 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Feb 19, 2025 EST
Deploy Google Agentspace
Earned Feb 18, 2025 EST
借助 Gemini Enterprise 加速知识交流
Earned Feb 18, 2025 EST
Recommendations with AI Applications
Earned Feb 18, 2025 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Feb 18, 2025 EST
Generative Playbooks
Earned Feb 16, 2025 EST
Accelerate Your Creativity with Text-to-Image using Imagen
Earned Feb 16, 2025 EST
Customer Experience with Google AI Architecture
Earned Feb 13, 2025 EST
Conversational AI Voice and Chat Integrations
Earned Feb 12, 2025 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned Feb 11, 2025 EST
Search with AI Applications
Earned Feb 1, 2025 EST
在 BigQuery 中使用 Gemini 模型
Earned Jan 23, 2025 EST
Networking in Google Cloud: Network Architecture
Earned Oct 4, 2024 EDT
Networking in Google Cloud: Routing and Addressing
Earned Oct 4, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Sep 27, 2024 EDT
Google Cloud 上的 AI 和机器学习简介
Earned Jun 16, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Jun 15, 2024 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Jun 15, 2024 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned Jun 1, 2024 EDT
Google Meet 中的 Gemini
Earned May 30, 2024 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned May 16, 2024 EDT
Migrating VMware to Google Cloud VMware Engine
Earned May 16, 2024 EDT
Modernizing Mainframe Applications with Google Cloud
Earned May 16, 2024 EDT
Developing a Google SRE Culture
Earned Apr 12, 2024 EDT
Achieving Business Outcomes with Looker
Earned Apr 3, 2024 EDT
Digital Transformation with Google Cloud
Earned Mar 18, 2024 EDT
Trust and Security with Google Cloud
Earned Mar 18, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Mar 18, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Mar 18, 2024 EDT
Scaling with Google Cloud Operations
Earned Mar 17, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned Mar 17, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Mar 17, 2024 EDT
Data Warehousing for Partners: Analyze Data with Looker
Earned Mar 16, 2024 EDT
BI Reporting: Looker Visualization on BigQuery
Earned Mar 16, 2024 EDT
Certification Learning Path: Professional Cloud DevOps Engineer
Earned Mar 13, 2024 EDT
Managing Security in Google Cloud
Earned Mar 1, 2024 EST
Google 表格中的 Gemini
Earned Jan 12, 2024 EST
Google 文档中的 Gemini
Earned Jan 12, 2024 EST
Gmail 中的 Gemini
Earned Jan 12, 2024 EST
Gemini for Google Workspace 简介
Earned Jan 12, 2024 EST
编码器-解码器架构
Earned Dec 28, 2023 EST
注意力机制
Earned Dec 28, 2023 EST
图像生成简介
Earned Dec 28, 2023 EST
负责任的 AI 简介
Earned Dec 22, 2023 EST
Certification Learning Path: Professional Cloud Security Engineer
Earned Oct 8, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 29, 2023 EDT
Security Practices with Google Security Operations - SIEM
Earned Sep 25, 2023 EDT
SAP on Google Cloud
Earned Sep 21, 2023 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Sep 6, 2023 EDT
This course will familiarize you with the core functionality of Chronicle, including the user interface, connections, and settings.
了解详情
本课程回顾了 Model Armor 的基本安全功能，并让您能够使用该服务。您将了解与 LLM 相关的安全风险，以及 Model Armor 如何保护您的 AI 应用。
了解详情
Google Threat Intelligence 能够向全球各地的安全团队及时提供详细的威胁情报，帮助其更好地监测威胁。本课程将介绍 Google Threat Intelligence 的各项功能，以及各类组织借助该产品主动缓解威胁的常见方式。
了解详情
In the context of a real-world use case, learn how to use Security Command Center’s virtual red teaming feature to identify risks. Then, learn how attack exposure scores help you prioritize issues and how risk reports keep stakeholders in the loop.
了解详情
Learn how to use NotebookLM to create a personalized study guide for the Professional Security Operations Engineer certification exam.
You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.
了解详情
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.
了解详情
Learn a variety of strategies and techniques to engineer effective prompts for generative models
了解详情
Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
Explore the four pillars of Enterprise Readiness in generative AI: data governance and privacy, security and compliance support, infrastructure reliability and sustainability, and responsible AI. You will also learn how these pillars address concerns about data privacy and security. Learn about customizing foundation models with your data while keeping your data safe using adapter layers, how to keep your AI models safe and compliant when deploying them across the world, and the multiple layers of encryption, rigorous controls, supply chain audits, and ongoing security testing that are built into Google Cloud. You will also learn about security controls such as VPC, customer-managed encryption keys, access transparency, and data residency zones. And explore enterprise controls, certifications, and responsible AI tooling available in Vertex AI to ensure your data remains secure and compliant with global regulations when deploying generative AI models.
了解详情
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.
了解详情
In this course, you will learn how to easily scale AI from laptop to Cloud by bringing Ray and Vertex AI together. You will learn how to create a Ray cluster, connect to it, and run some simple Ray code. You will also learn how to integrate BigQuery seamlessly with Ray data.
了解详情
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.
了解详情
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.)
了解详情
This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
了解详情
In this Google DeepMind course you will discover the mechanisms of the transformer architecture. You will investigate how transformer language models process prompts to make context-sensitive next-token predictions. Through practical activities you will explore the attention mechanism, visualize attention weights, and encounter advanced concepts like masked attention and multi-head attention. You will also learn other techniques that are necessary to build neural networks that are well-suited to be used as language models. Finally, through activities on values, stakeholder mapping and community engagement, you will practice concrete tools for ensuring AI projects are developed with communities, not just for them.
了解详情
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.)
了解详情
This course dives into the world of media creation in Vertex AI using Nano Banana and Veo. Learn to design text and image-based prompts to produce high-quality, consistent images, and captivating, cinematic video clips. You'll also learn to refine generated assets using core editing functions. Finally, this course guides you through multi-tool workflow implementations for creative control and consistency, empowering you to transform images into video clips and leverage Gemini for prompt writing assistance and feedback.
了解详情
此课程将探索如何使用 AI 功能套件 Gemini in BigQuery 为“数据到 AI”工作流提供助力。其中涉及到的功能包括数据探索和准备、代码生成和问题排查，以及工作流发现和可视化。此课程包含概念解释、真实使用场景以及实操实验等内容，可帮助数据从业者提升效率并加快流水线开发速度。
This course explores how to implement a streaming analytics solution using Pub/Sub.
了解详情
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.
了解详情
Migration from Azure to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.
了解详情
完成中级技能徽章课程利用 BigQuery ML 构建预测模型时的数据工程处理， 展示自己在以下方面的技能：利用 Dataprep by Trifacta 构建 BigQuery 数据转换流水线； 利用 Cloud Storage、Dataflow 和 BigQuery 构建提取、转换和加载 (ETL) 工作流； 以及利用 BigQuery ML 构建机器学习模型。
了解详情
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。
了解详情
This course explores Google Cloud technologies to create and generate embeddings. Embeddings are numerical representations of text, images, video and audio, and play a pivotal role in many tasks that involve the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. Specifically, you’ll use embeddings for tasks like classification, outlier detection, clustering and semantic search.
You’ll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) systems and question-answering solutions, on your own proprietary data using Google Cloud’s Vertex AI.
了解详情
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。
了解详情
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。
了解详情
Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
了解详情
This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
生成式 AI 应用可以提供大语言模型 (LLM) 问世前几乎不可能实现的全新用户体验。作为应用开发者，您要如何利用生成式 AI 在 Google Cloud 上构建更具吸引力且功能强大的应用？
在本课程中，您将了解生成式 AI 应用，以及如何利用提示设计和检索增强生成 (RAG) 技术，构建使用 LLM 的强大应用。您将了解可用于生产用途且适合生成式 AI 应用的架构，并构建一个基于 LLM 和 RAG 的聊天应用。
了解详情
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!
了解详情
This course will focus on Agent Assist, an AI-powered tool designed to enhance customer service interactions. In this course, you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel. You’ll learn how to take full advantage of Agent Assist from Gemini Enterprise for Customer Experience, and its range of Gen AI features and functionality.
了解详情
Connect conversational agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
对 AI 背后的强大硬件感到好奇吗？本单元将详细讲解性能经过优化的 AI 计算机，向您展示它们为何如此重要。我们将探讨 CPU、GPU 和 TPU 如何让 AI 任务高速运行，介绍它们各自的特点，并说明 AI 软件是如何充分发挥这些硬件的性能的。学习结束后，您将清楚地知道如何为自己的 AI 项目选择合适的 GPU，从而为 AI 工作负载做出明智的决策。
了解详情
准备好探索 AI Hypercomputer 了吗？这门课程将带您轻松入门！我们将介绍相关基础知识，并阐释它们如何助力 AI 处理 AI 工作负载。您将了解超级计算机内部的各个组件，如 GPU、TPU 和 CPU，并知晓如何根据您的需求选择合适的部署方法。
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
This course was designed to prepare Google Workspace Administrators to troubleshoot common Google Workspace issues. Learners will practice diagnosing and resolving problems in Gmail, Calendar, and Drive, and navigating the Admin console. They will also experience analyzing audit logs to troubleshoot security issues, and gathering information and using available resources to troubleshoot and report technical issues.
了解详情
This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners' understanding of the topics. "This learning path aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery.
了解详情
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.
了解详情
This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.
了解详情
This video will cover how to leverage Gemini Gems to create authentic
social media posts in your leader's unique voice. Learn to overcome the
challenge of scaling executive social presence by training a Gem with
writing samples and clear instructions. Discover how to generate engaging
posts quickly, saving time while amplifying thought leadership and
ensuring authenticity.
了解详情
This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.
了解详情
This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
了解详情
This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
了解详情
This video will cover how to use NotebookLM to gather and analyze
publicly available information, combine it with internal documents, and
extract key competitive insights.
了解详情
This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
了解详情
This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
了解详情
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
了解详情
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。
了解详情
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.)
了解详情
Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.
了解详情
This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.
了解详情
Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.
了解详情
本课程全面概述了 Google Cloud Security Command Center (SCC) Enterprise，这是一个云原生应用保护平台 (CNAPP) 解决方案，可帮助组织预防、检测和应对整个 Google Cloud 服务中的威胁。
您将了解 SCC Enterprise 的核心功能，包括增强型威胁检测、深度漏洞管理和集成式案例管理。
本课程也会介绍威胁管理和漏洞评估方面的基本概念，并实际演示如何使用 SCC Enterprise 来识别、调查和修复多云环境中的安全风险。
了解详情
This training aims to up-skill Google Cloud partners to deliver customer engagements through Delivery Navigator for available technical practice offerings. Learners will be able to navigate around the Delivery Navigator platform, select the desired method(s), and export the project WBS to a desired work management tool and Shared Google Drive. Sample artefacts are available through the Delivery Navigator methods and will be provided for reference.
Contents of this course will be updated as new features are released for the Delivery Navigator platform.
了解详情
Google Threat Intelligence provides unmatched visibility into threats by delivering detailed and timely threat intelligence to security teams around the world. This course covers the various capabilities of Google Threat Intelligence and common ways that organizations use this product to proactively mitigate threats.
了解详情
This course gives you a deep dive into the workflows of Tier 3 analysts.
了解详情
This course explores the quality assurance best practices and the tools available in Conversational Agents to ensure production grade quality during Conversational Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
了解详情
In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
了解详情
This course gives you a deep dive into the workflows of Tier 1 and Tier 2 security analysts.
了解详情
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
了解详情
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
了解详情
This course will provide you with an overview of SIEM technology to set the stage for the differentiation and expansion of capabilities that Chronicle SIEM provides.
了解详情
Learn which Mandiant products directly enhance or augment capabilities provided by Chronicle SIEM and SOAR and how those products integrate into our workflow.
了解详情
“生成式 AI: 全面了解生成式 AI”是 Generative AI Leader 学习路线中的第三门课程。生成式 AI 正在改变我们的工作方式,以及我们与周围世界的互动方式。作为领导者,应该如何利用生成式 AI 来推动实现实际的业务成果?在本课程中,您将探索构建生成式 AI 解决方案的不同层级、Google Cloud 的产品,以及选择解决方案时需要考虑的因素。
了解详情
“生成式 AI 智能体：助力组织转型”是“Gen AI Leader”学习路线中的第五门课程，也是最后一门课程。本课程探讨了组织如何使用量身定制的生成式 AI 智能体，帮助应对特定的业务挑战。您将亲自动手构建一个基本的生成式 AI 智能体，并探索这些智能体的组成部分，例如模型、推理循环以及各种工具。
了解详情
“生成式 AI 应用：改变工作方式”是 Generative AI Leader 学习路线的第四门课程。本课程介绍 Google 的生成式 AI 应用，例如 Gemini for Workspace 和 NotebookLM。它将引导您逐一了解接地、检索增强生成、构建有效提示和构建自动化工作流等概念。
了解详情
“生成式 AI: 剖析基本概念”是 Generative AI Leader 学习路线中的第二门课程。在本课程中,您将了解生成式 AI 的基本概念。您要探索 AI、机器学习和生成式 AI 之间的区别,了解各种数据类型如何赋能生成式 AI,从而应对各种业务挑战。您还将深入了解 Google Cloud 应对基础模型局限性的策略,以及负责任和安全的 AI 开发与部署面临着哪些关键挑战。
了解详情
“生成式 AI：不只是聊天机器人”是 Generative AI Leader 学习路线中的第一门课程。学习本课程没有知识门槛。本课程旨在帮助您超越对聊天机器人的基本认知,探索生成式 AI技术为您的组织带来的真正潜力。您将探索基础模型和提示工程等概念,这些知识对利用生成式 AI 的强大功能至关重要。本课程还将说明,为组织制定成功的生成式 AI 策略时,需要考虑哪些重要因素。
了解详情
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.
了解详情
在本课程中，您将学习如何使用 Google 智能体开发套件构建复杂的多智能体系统。您将构建搭载工具的智能体，利用父子层级关系和工作流进行连接，以此定义它们的交互方式。您将在本地运行智能体，将其部署到 Vertex AI Agent Engine 并作为托管式智能体流运行，基础设施决策和资源扩缩则由 Agent Engine 处理。请注意，这些实验基于此产品的预发布版本。在进行维护更新时，这些实验可能会出现一些延迟。
了解详情
This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.
了解详情
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
了解详情
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
了解详情
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
了解详情
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
了解详情
Discover how to use Colab Enterprise, a managed notebook environment that provides secure and compliant storage for your notebooks, that comes with two code-generation features: code complete and code gen. Create and use runtime templates in Vertex AI Workbench to give users access to more powerful compute resources while still maintaining control over the types of resources that are spun up. Share notebooks with other users and use versioning to keep track of changes to your notebooks. Learn how Colab Enterprise integrates BigQuery and Vertex AI. You will see how to pull data from BigQuery, use BQML to train a model, and have it all integrated with Vertex Model Registry. Explore how to fine-tune a Foundation model or generative AI model using the Vertex AI SDK. And, learn how to evaluate a tuned model and compare the results of multiple runs.
了解详情
Embark on a journey into the captivating world of embeddings! This course equips you with the theoretical and practical knowledge to harness their power in both product search and generative AI.
了解详情
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。
了解详情
This workload aims to upskill Google Cloud partners to perform specific tasks associated with building a Custom Doc Extractor using the Google Cloud AI solution. The following will be addressed:
Service: Document AI
Task: Extract fields
Processors: Custom Document Extractor and Document Splitter
Prediction: Using Endpoint to programmatically extract fields
了解详情
This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
了解详情
Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
了解详情
Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
了解详情
This course explores the Geographic Information Systems (GIS), GIS Visualization, and machine learning enhancements to BigQuery.
了解详情
This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
了解详情
This course explores how to implement a streaming analytics solution using Dataflow and BigQuery.
了解详情
Identify critical assets and their compliance requirements.
了解详情
This training course introduces Cloud NGFW. Topics include how Cloud NGFW provides centralized firewall management, centralized firewall visibility, advanced threat protection, and firewall insights.
了解详情
This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases.
了解详情
This course is for Google Cloud’s top partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases. Those who complete the training and assessment will receive the Google Cloud Generative AI Trailblazer badge through Skills Boost.
了解详情
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 Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.
了解详情
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。
了解详情
This on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.
了解详情
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。
了解详情
In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
了解详情
Gemini Enterprise 结合了 Google 在搜索和 AI 领域的专长。它是一款强大的工具，让员工只需通过一个搜索栏，就能从文档库、邮件、聊天消息、工单系统及其他数据源中查找具体信息。Gemini Enterprise 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个日历活动。因此它能加快知识型工作的进度并提升协作效率。（请注意，Gemini Enterprise 以前称为 Google Agentspace，本课程中可能会提及以前的产品名称。）
了解详情
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.
了解详情
This course explores the different products and capabilities of Gemini Enterprise for Customer Experience and Conversational Agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
了解详情
Explore Playbooks and their implementation of the ReAct pattern for building conversational agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
了解详情
Imagen provides a suite of generative AI tools to help you accelerate your creative workflows. This course provides you with demonstrations of all the key features currently found in Imagen.
了解详情
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.
了解详情
Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
了解详情
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
了解详情
(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.
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.
了解详情
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.
了解详情
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
了解详情
本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力，重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具，并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。
了解详情
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.
了解详情
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. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
了解详情
Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series.
In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area.
You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training.
This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.
了解详情
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。
了解详情
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.
了解详情
This course educates partners on key concepts around deploying Google Cloud VMware Engine (GCVE) and leveraging HCX to migrate VMs from on-premises VMware to GCVE.
了解详情
This course enables system integrators and partners to understand the principles of automated migrations, plan legacy system migrations to Google Cloud leveraging G4 Platform, and execute a trial code conversion.
了解详情
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.
了解详情
In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
了解详情
This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.
了解详情
This workload aims to upskill Google Cloud partners to perform specific tasks for modernization using LookML on BigQuery. A proof-of-concept will take learners through the process of creating LookML visualizations on BigQuery. During this course, learners will be guided specifically on how to write Looker modeling language, also known as LookML and create semantic data models, and learn how LookML constructs SQL queries against BigQuery. At a high level, this course will focus on basic LookML to create and access BigQuery objects, and optimize BigQuery objects with LookML.
了解详情
Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud DevOps Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
了解详情
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.
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
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。
了解详情
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。
了解详情
Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud Security Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
了解详情
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.
了解详情
Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.
了解详情
This course is the third part of the SAP on Google Cloud Platform learning path. Following the SAP on Google Cloud Foundations eLearning and the SAP on Google Cloud Self-paced labs. Participants should have completed these two components before. This course consists of hands-on labs that provide a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are, leaving the course with actionable experience to configure SAP on Google Cloud and run SAP workloads on Google Cloud for their customers.
了解详情
This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
[DEPRECATED] SOAR Fundamentals
Earned Dec 9, 2025 EST
Model Armor：保障 AI 部署安全
Earned Dec 5, 2025 EST
Google Threat Intelligence
Earned Dec 5, 2025 EST
Security Command Center: Identify and Prioritize Risks
Earned Dec 5, 2025 EST
Build a Certification Study Guide: PSOE Exam Prep
Earned Dec 5, 2025 EST
Find, Explore and Deploy Model Garden Models
Earned Nov 7, 2025 EST
Engineer Effective Prompts for Generative Models
Earned Nov 7, 2025 EST
Explore Google's Gen AI Models
Earned Nov 7, 2025 EST
Model evaluation on Vertex AI
Earned Nov 7, 2025 EST
Create Data Stores for Gen AI Applications
Earned Nov 7, 2025 EST
Implement Hybrid Search
Earned Nov 5, 2025 EST
Enterprise Readiness in Generative AI
Earned Nov 4, 2025 EST
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Nov 4, 2025 EST
Scale AI with Ray on Vertex AI
Earned Nov 4, 2025 EST
Implement RAG with Vertex AI
Earned Nov 4, 2025 EST
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Nov 3, 2025 EST
How Google Does Machine Learning
Earned Nov 3, 2025 EST
Google DeepMind: 04 Discover The Transformer Architecture
Earned Nov 2, 2025 EST
Vertex AI Search and Gemini Enterprise Analytics
Earned Oct 20, 2025 EDT
Generate and Edit Media in Vertex AI
Earned Sep 17, 2025 EDT
使用 Gemini in BigQuery 提高效率
Earned Sep 16, 2025 EDT
使用 BigQuery 机器学习推理功能
Earned Sep 16, 2025 EDT
Data Warehousing for Partners: Stream Data with Pub/Sub
Earned Sep 16, 2025 EDT
Introduction to NotebookLM
Earned Sep 16, 2025 EDT
Azure Virtual Machines to Compute Engine
Earned Sep 15, 2025 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Sep 14, 2025 EDT
通过 BigQuery ML 创建机器学习模型
Earned Sep 14, 2025 EDT
Custom Search with Embeddings in Vertex AI
Earned Sep 14, 2025 EDT
矢量搜索和嵌入
Earned Sep 14, 2025 EDT
Vertex AI Studio 简介
Earned Sep 14, 2025 EDT
Transformer 模型和 BERT 模型
Earned Sep 14, 2025 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Sep 13, 2025 EDT
Build a Certification Study Guide: PMLE
Earned Sep 13, 2025 EDT
Working with Notebooks in Vertex AI
Earned Sep 11, 2025 EDT
生成式 AI 简介
Earned Sep 10, 2025 EDT
大型语言模型简介
Earned Sep 10, 2025 EDT
利用 Vertex AI 实现机器学习运维 (MLOps)：模型评估
Earned Sep 10, 2025 EDT
面向开发者的 Responsible AI：可解释性和透明度
Earned Sep 10, 2025 EDT
面向开发者的 Responsible AI：隐私保护和安全
Earned Sep 10, 2025 EDT
面向开发者的 Responsible AI：公平性与偏见
Earned Sep 9, 2025 EDT
在 Google Cloud 上创建生成式 AI 应用
Earned Sep 9, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Sep 4, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned Sep 4, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Aug 15, 2025 EDT
AI Infrastructure：Cloud TPU
Earned Aug 7, 2025 EDT
AI Infrastructure：Cloud GPU
Earned Aug 7, 2025 EDT
AI Infrastructure：AI Hypercomputer 简介
Earned Aug 7, 2025 EDT
Google Workspace Data Governance
Earned Aug 7, 2025 EDT
Google Workspace Core Services
Earned Aug 7, 2025 EDT
Google Workspace Security
Earned Aug 7, 2025 EDT
Google Workspace User and Resource Management
Earned Aug 7, 2025 EDT
Google Workspace Troubleshooting
Earned Aug 5, 2025 EDT
Snowflake to BigQuery Migration
Earned Jun 16, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned Jun 15, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts
Earned Jun 13, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned Jun 13, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems
Earned Jun 13, 2025 EDT
AI Boost Bites: "Eat the Frog" with NotebookLM
Earned Jun 13, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned Jun 13, 2025 EDT
AI Boost Bites: NotebookLM for Competitive Edge
Earned Jun 13, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Jun 13, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM
Earned Jun 13, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Jun 13, 2025 EDT
面向数据科学家和分析师的 Gemini
Earned Jun 13, 2025 EDT
Introduction to AI Applications
Earned May 22, 2025 EDT
Security Command Center Fundamentals
Earned May 15, 2025 EDT
Google Security Operations - Fundamentals
Earned May 15, 2025 EDT
Google Security Operations - Deep Dive
Earned May 14, 2025 EDT
Security Command Center Enterprise 使用入门
Earned May 14, 2025 EDT
Delivery Navigator for Partners
Earned May 14, 2025 EDT
DEPRECATED Google Threat Intelligence
Earned May 13, 2025 EDT
SecOps on GDC for Tier 3 Analysts
Earned May 10, 2025 EDT
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned May 7, 2025 EDT
Extend CX Agents with Vertex AI Search data stores
Earned May 7, 2025 EDT
SecOps on GDC for Tier 1 and Tier 2 Analysts
Earned Apr 26, 2025 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Apr 23, 2025 EDT
Build Batch Data Pipelines on Google Cloud
Earned Apr 21, 2025 EDT
Chronicle SIEM Fundamentals
Earned Apr 17, 2025 EDT
Mandiant Fundamentals
Earned Apr 17, 2025 EDT
生成式 AI: 全面了解生成式 AI
Earned Apr 17, 2025 EDT
生成式 AI 智能体：助力组织转型
Earned Apr 17, 2025 EDT
生成式 AI 应用：改变工作方式
Earned Apr 17, 2025 EDT
生成式 AI：剖析基本概念
Earned Apr 17, 2025 EDT
生成式 AI：不只是聊天机器人
Earned Apr 17, 2025 EDT
Networking in Google Cloud: Network Security
Earned Apr 13, 2025 EDT
使用智能体开发套件 (ADK) 和 Agent Engine 部署多智能体系统
Earned Apr 10, 2025 EDT
The Modern Data Platform and LookML
Earned Mar 17, 2025 EDT
Natural Language Processing on Google Cloud
Earned Mar 10, 2025 EDT
Feature Engineering
Earned Mar 8, 2025 EST
创建图片标注模型
Earned Mar 8, 2025 EST
Production Machine Learning Systems
Earned Mar 8, 2025 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Mar 7, 2025 EST
Launching into Machine Learning
Earned Mar 7, 2025 EST
Building AI with Colab Enterprise
Earned Mar 7, 2025 EST
Vector Search and Embeddings in Product Search
Earned Mar 2, 2025 EST
使用 BigQuery 创建嵌入、向量搜索和 RAG
Earned Mar 2, 2025 EST
Document AI: Building a Custom Document Extractor
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Process Data with Dataproc
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Design in BigQuery
Earned Feb 27, 2025 EST
Data Warehousing for Partners: BigQuery Extended Capabilities
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Feb 27, 2025 EST
Data Warehousing for Partners: Streaming Analytics
Earned Feb 27, 2025 EST
Evaluate Your Cloud Next Generation Firewall Needs
Earned Feb 23, 2025 EST
Introduction to Cloud Next Generation Firewall
Earned Feb 23, 2025 EST
Unlocking the Power of Google Cloud Generative AI for Partners
Earned Feb 22, 2025 EST
Google Cloud Generative AI Trailblazer
Earned Feb 22, 2025 EST
Security Best Practices in Google Cloud
Earned Feb 22, 2025 EST
适用于生成式 AI 的机器学习运维 (MLOps)
Earned Feb 20, 2025 EST
Vertex AI Search for Commerce
Earned Feb 19, 2025 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Feb 19, 2025 EST
Deploy Google Agentspace
Earned Feb 18, 2025 EST
借助 Gemini Enterprise 加速知识交流
Earned Feb 18, 2025 EST
Recommendations with AI Applications
Earned Feb 18, 2025 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Feb 18, 2025 EST
Generative Playbooks
Earned Feb 16, 2025 EST
Accelerate Your Creativity with Text-to-Image using Imagen
Earned Feb 16, 2025 EST
Customer Experience with Google AI Architecture
Earned Feb 13, 2025 EST
Conversational AI Voice and Chat Integrations
Earned Feb 12, 2025 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned Feb 11, 2025 EST
Search with AI Applications
Earned Feb 1, 2025 EST
在 BigQuery 中使用 Gemini 模型
Earned Jan 23, 2025 EST
Networking in Google Cloud: Network Architecture
Earned Oct 4, 2024 EDT
Networking in Google Cloud: Routing and Addressing
Earned Oct 4, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Sep 27, 2024 EDT
Google Cloud 上的 AI 和机器学习简介
Earned Jun 16, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Jun 15, 2024 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Jun 15, 2024 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned Jun 1, 2024 EDT
Google Meet 中的 Gemini
Earned May 30, 2024 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned May 16, 2024 EDT
Migrating VMware to Google Cloud VMware Engine
Earned May 16, 2024 EDT
Modernizing Mainframe Applications with Google Cloud
Earned May 16, 2024 EDT
Developing a Google SRE Culture
Earned Apr 12, 2024 EDT
Achieving Business Outcomes with Looker
Earned Apr 3, 2024 EDT
Digital Transformation with Google Cloud
Earned Mar 18, 2024 EDT
Trust and Security with Google Cloud
Earned Mar 18, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Mar 18, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Mar 18, 2024 EDT
Scaling with Google Cloud Operations
Earned Mar 17, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned Mar 17, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Mar 17, 2024 EDT
Data Warehousing for Partners: Analyze Data with Looker
Earned Mar 16, 2024 EDT
BI Reporting: Looker Visualization on BigQuery
Earned Mar 16, 2024 EDT
Certification Learning Path: Professional Cloud DevOps Engineer
Earned Mar 13, 2024 EDT
Managing Security in Google Cloud
Earned Mar 1, 2024 EST
Google 表格中的 Gemini
Earned Jan 12, 2024 EST
Google 文档中的 Gemini
Earned Jan 12, 2024 EST
Gmail 中的 Gemini
Earned Jan 12, 2024 EST
Gemini for Google Workspace 简介
Earned Jan 12, 2024 EST
编码器-解码器架构
Earned Dec 28, 2023 EST
注意力机制
Earned Dec 28, 2023 EST
图像生成简介
Earned Dec 28, 2023 EST
负责任的 AI 简介
Earned Dec 22, 2023 EST
Certification Learning Path: Professional Cloud Security Engineer
Earned Oct 8, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 29, 2023 EDT
Security Practices with Google Security Operations - SIEM
Earned Sep 25, 2023 EDT
SAP on Google Cloud
Earned Sep 21, 2023 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Sep 6, 2023 EDT