DEPRECATED Build LangChain Applications using Vertex AI
Earned Apr 9, 2024 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Mar 2, 2024 EST
Gemini for Google Workspace 简介
Earned Feb 1, 2024 EST
Preparing for Your Professional Cloud Network Engineer Journey
Earned Jan 31, 2024 EST
适用于云架构师的 Gemini
Earned Jan 27, 2024 EST
Trust and Security with Google Cloud
Earned Jan 25, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned Jan 25, 2024 EST
Eventarc 使用入门
Earned Jan 24, 2024 EST
Enterprise Search on Generative AI App Builder
Earned Jan 23, 2024 EST
机器学习简介：语言处理
Earned Jan 18, 2024 EST
Serverless Data Processing with Dataflow: Foundations
Earned Jan 11, 2024 EST
Exploring Data Transformation with Google Cloud - Locales
Earned Jan 8, 2024 EST
Google Cloud 上的 AI 和机器学习简介
Earned Jan 5, 2024 EST
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Jan 5, 2024 EST
Google Cloud 云计算基础课程：云计算基础知识
Earned Jan 4, 2024 EST
基准：数据、机器学习和 AI
Earned Dec 18, 2023 EST
Developing Containerized Applications on Google Cloud
Earned Nov 10, 2023 EST
Logging and Monitoring in Google Cloud
Earned Nov 1, 2023 EDT
Architecting with Google Kubernetes Engine: Production
Earned Oct 31, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Sep 28, 2023 EDT
Launching into Machine Learning
Earned Sep 22, 2023 EDT
Innovating with Data and Google Cloud
Earned Jul 20, 2023 EDT
Creating Infrastructure on Google Cloud with Terraform
Earned Jul 20, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Jul 19, 2023 EDT
使用 Cloud Run Functions 构建无服务器应用
Earned Jul 19, 2023 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Jul 12, 2023 EDT
Machine Learning APIs
Earned Jul 10, 2023 EDT
Google Cloud 弹性基础设施：扩缩和自动化
Earned Jun 10, 2023 EDT
Baseline: Deploy & Develop
Earned Jun 7, 2023 EDT
探索生成式 AI - Vertex AI
Earned Jun 5, 2023 EDT
Vertex AI Studio 简介
Earned Jun 5, 2023 EDT
负责任的 AI 简介
Earned Jun 5, 2023 EDT
DevOps Essentials
Earned May 26, 2023 EDT
创建图片标注模型
Earned May 25, 2023 EDT
图像生成简介
Earned May 24, 2023 EDT
编码器-解码器架构
Earned May 24, 2023 EDT
Transformer 模型和 BERT 模型
Earned May 24, 2023 EDT
注意力机制
Earned May 24, 2023 EDT
大型语言模型简介
Earned May 24, 2023 EDT
在 Google Cloud 中使用 Kubernetes
Earned May 18, 2023 EDT
Google Cloud 重要基础设施：核心服务
Earned May 16, 2023 EDT
基准：基础架构
Earned May 16, 2023 EDT
生成式 AI 简介
Earned May 11, 2023 EDT
Machine Learning Operations (MLOps): Getting Started
Earned May 10, 2023 EDT
Google Cloud 重要基础设施：基础
Earned May 9, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned May 9, 2023 EDT
DEPRECATED Cloud Architecture
Earned May 7, 2023 EDT
Architecting with Google Kubernetes Engine: Foundations - 简体中文
Earned Apr 24, 2023 EDT
在 Google Cloud 上设置应用开发环境
Earned Apr 4, 2023 EDT
Google Kubernetes Engine 使用入门
Earned Mar 29, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Mar 19, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 19, 2023 EDT
Google Cloud 基础知识：核心基础设施
Earned Mar 3, 2023 EST
Google Cloud 基础知识
Earned Mar 3, 2023 EST
云工程
Earned Feb 28, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Feb 17, 2023 EST
Scaling with Google Cloud Operations
Earned Jan 23, 2023 EST
Modernize Infrastructure and Applications with Google Cloud
Earned Jan 23, 2023 EST
Exploring Data Transformation with Google Cloud
Earned Jan 18, 2023 EST
Digital Transformation with Google Cloud
Earned Jan 18, 2023 EST
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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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.
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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
Explore the fundamentals of Flutter application development in this hands-on quest! Within this quest, you will build a "Hello World" Flutter application, design a frontend for a shopping application, and learn how to connect your Flutter applications to backend services. Each lab in this quest utilizes a pre-provisioned development environment allowing minimal setup to get into the application code!
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完成 在 Vertex AI 中设计提示入门技能徽章课程，展示以下方面的技能： Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示，指导生成式 AI 输出， 以及将 Gemini 模型应用于真实的营销场景。
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这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 1.0 Pro 模型集成，可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。
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Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week course will leave you feeling confident to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more. Through a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks, learners can expect to leave this training with all of the skills they need to get started as new Cloud Identity Administrators.
In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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。
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在本课程中，您将了解 Google Cloud 中依托生成式 AI 技术的协作工具 Gemini 如何帮助开发者构建应用。您将学习如何向 Gemini 输入提示，让其为您解释代码、推荐 Google Cloud 服务并为您的应用生成代码。您将通过实操实验体验 Gemini 对应用开发工作流的改进作用。
Duet AI 已更名为 Gemini，这是我们的新一代模型。
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Complete the introductory Build LangChain Applications using Vertex AI skill badge to learn how to build Generative AI applications using LangChain and the Retrieval Augmented Generation (RAG) technique for text-based content, powered by Vertex AI's advanced Generative AI capabilities. Discover how to integrate powerful large language models (LLMs) with search and retrieval workflows, boosting the accuracy and relevance of your generated content. Earn a Google Cloud skill badge and showcase your expertise by completing the course and its final assessment challenge lab.
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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Google Workspace 专用 Gemini 是一个插件，可在 Google Workspace 中为客户提供生成式 AI 功能。在本学习路线中，您将了解 Gemini 的主要功能，以及如何在 Google Workspace 中使用它们来提高工作效率。
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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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在本课程中，您将了解 Gemini（Google Cloud 的生成式 AI 赋能的协作工具）如何帮助管理员预配基础设施。您将了解如何通过输入提示来让 Gemini 解释基础设施、GKE 集群的部署，以及现有基础设施的更新。您可以通过实操实验了解如何利用 Gemini 来改进 GKE 部署工作流。
Duet AI 已更名为 Gemini，这是我们的新一代模型。
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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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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.
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 Generative AI App Builder to integrate enterprise-grade generative AI search.
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众所周知，机器学习是发展最快的技术领域之一， Google Cloud Platform 在推动其发展方面发挥了重要作用。 GCP 提供了一系列 API，几乎可以满足任何机器学习作业的需求。在 本入门课程中，您将了解机器学习在语言处理方面的运用， 通过实操实验学习 如何从文本中提取实体，执行情感和语法分析，以及 使用 Speech-to-Text API 进行转写。
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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This course, Exploring Data Transformation with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Exploring Data Transformation with Google Cloud.
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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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。
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
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Google Cloud 云计算基础课程面向云计算零基础或经验较少的人群。本课程概述了云计算基础知识、大数据和机器学习的核心概念，以及 Google Cloud 在其中的定位与应用方式。
完成本系列课程后，学员将能够清晰阐述这些概念，并掌握部分实操技能。
课程应按以下顺序完成：
1. Google Cloud 云计算基础课程：云计算基础知识
2. Google Cloud 云计算基础课程：Google Cloud 中的基础设施
3. Google Cloud 云计算基础课程：Google Cloud 中的网络服务和安全性
4. Google Cloud 云计算基础课程：Google Cloud 中的数据、机器学习和 AI
本课是第一门课程，概述了云计算、Google Cloud 的使用方式以及各种计算选项。
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大数据、机器学习和人工智能是当今计算领域的热门话题， 但这些领域的专业性很强，因而很难找到 入门资料。幸运的是，Google Cloud 在这些领域提供了方便用户使用的服务， 通过本入门级课程，您可以 开始学习使用 BigQuery、Cloud Speech API 和 Video Intelligence 等工具。
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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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In this course, you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE.
This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Reliable Google Cloud Infrastructure: Design and Process course or the Hybrid Cloud Infrastructure Foundations with Anthos course.
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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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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.
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Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers.
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.
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In this quest you will get hands-on experience writing infrastructure as code with Terraform.
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完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。
技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。
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完成 使用 Cloud Run Functions 构建无服务器应用课程，赢取入门级技能徽章。 在本课程中，您可以学习如何通过 Google Cloud 控制台和命令行来使用 Cloud Run functions。
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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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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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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探索生成式 AI - Vertex AI 课程汇集了多组实验， 指导用户在 Google Cloud 平台上运用生成式 AI。参与实验，您将了解 如何使用 Vertex AI PaLM API 系列模型，包括 text-bison、chat-bison 和 textembedding-gecko。您还将了解提示设计、最佳实践， 以及如何使用生成式 AI 进行构思、文本分类、文本提取、文本 总结等任务。您还将学习如何通过 Vertex AI 自定义训练对基础模型进行调优， 并将模型部署到 Vertex AI 端点。
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本课程介绍 Vertex AI Studio，这是一种用于与生成式 AI 模型交互、围绕业务创意进行原型设计并在生产环境中落地的工具。通过沉浸式应用场景、富有吸引力的课程和实操实验，您将探索从提示到产品的整个生命周期，了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计、提示工程和模型调优。本课程的目的在于帮助您利用 Vertex AI Studio，在自己的项目中充分发掘生成式 AI 的潜力。
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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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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!
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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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.
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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。
This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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。
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欢迎学习“Google Kubernetes Engine 使用入门”课程。Kubernetes 是位于应用和硬件基础架构之间的软件层，如果您对 Kubernetes 感兴趣，那就来对地方了！Google Kubernetes Engine 将 Kubernetes 作为 Google Cloud 上的代管式服务提供给您使用。
本课程的目标是介绍 Google Kubernetes Engine（通常称为 GKE）的基础知识，以及将应用容器化并在 Google Cloud 中运行的方法。本课程首先介绍 Google Cloud 的基础知识，然后概述容器、Kubernetes、Kubernetes 架构以及 Kubernetes 操作。
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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“Google Cloud 基础知识：核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务，并提供重要的资源和政策管理工具。
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在本入门级课程中，您将了解 Google Cloud 的基础工具和服务。此课程提供了可选视频， 旨在帮助您深入了解和回顾实验中涉及的概念。Google Cloud 基础知识是推荐给 Google Cloud 学员的第一门课程 - 即使您几乎没有云相关知识，也能从中获得实践 经验，并将其直接运用于您的首个 Google Cloud 项目。从编写 Cloud Shell 命令和部署您的第一个虚拟机，到在 Kubernetes Engine 上运行应用 或者使用负载均衡，“Google Cloud 基础知识”都是您了解该平台 基本功能的首选入门级课程。
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在众多课程中，本入门课程独具特色。 这些实验经过精心设计，旨在让 IT 专业人员通过实践掌握 Google Cloud 认证 Associate Cloud Engineer 考核中的各项主题和服务内容。从 IAM 到网络组建和管理， 再到 Kubernetes Engine 部署，本课程将通过特定实验 检验您的 Google Cloud 知识掌握情况。请注意，虽然这些实操 实验有助于提升您的技能和能力，我们仍建议您同时查阅 考试指南和其他可用的备考资源。
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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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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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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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
Preparing for your Professional Cloud Architect Journey
Earned Jun 13, 2024 EDT
Observability in Google Cloud
Earned Jun 13, 2024 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Jun 11, 2024 EDT
Service Orchestration and Choreography on Google Cloud
Earned Jun 10, 2024 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Jun 1, 2024 EDT
Flutter Development
Earned May 29, 2024 EDT
在 Vertex AI 中设计提示
Earned May 13, 2024 EDT
在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成
Earned May 6, 2024 EDT
Introduction to Cloud Identity
Earned Apr 30, 2024 EDT
增强 BigLake 数据的元数据管理与数据发现能力
Earned Apr 25, 2024 EDT
Managing Cloud Infrastructure with Terraform
Earned Apr 24, 2024 EDT
开发 Google Cloud 网络
Earned Apr 17, 2024 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned Apr 15, 2024 EDT
为 Compute Engine 实现云负载均衡
Earned Apr 15, 2024 EDT
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Apr 12, 2024 EDT
适用于应用开发者的 Gemini
Earned Apr 10, 2024 EDT
DEPRECATED Build LangChain Applications using Vertex AI
Earned Apr 9, 2024 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Mar 2, 2024 EST
Gemini for Google Workspace 简介
Earned Feb 1, 2024 EST
Preparing for Your Professional Cloud Network Engineer Journey
Earned Jan 31, 2024 EST
适用于云架构师的 Gemini
Earned Jan 27, 2024 EST
Trust and Security with Google Cloud
Earned Jan 25, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned Jan 25, 2024 EST
Eventarc 使用入门
Earned Jan 24, 2024 EST
Enterprise Search on Generative AI App Builder
Earned Jan 23, 2024 EST
机器学习简介：语言处理
Earned Jan 18, 2024 EST
Serverless Data Processing with Dataflow: Foundations
Earned Jan 11, 2024 EST
Exploring Data Transformation with Google Cloud - Locales
Earned Jan 8, 2024 EST
Google Cloud 上的 AI 和机器学习简介
Earned Jan 5, 2024 EST
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Jan 5, 2024 EST
Google Cloud 云计算基础课程：云计算基础知识
Earned Jan 4, 2024 EST
基准：数据、机器学习和 AI
Earned Dec 18, 2023 EST
Developing Containerized Applications on Google Cloud
Earned Nov 10, 2023 EST
Logging and Monitoring in Google Cloud
Earned Nov 1, 2023 EDT
Architecting with Google Kubernetes Engine: Production
Earned Oct 31, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Sep 28, 2023 EDT
Launching into Machine Learning
Earned Sep 22, 2023 EDT
Innovating with Data and Google Cloud
Earned Jul 20, 2023 EDT
Creating Infrastructure on Google Cloud with Terraform
Earned Jul 20, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Jul 19, 2023 EDT
使用 Cloud Run Functions 构建无服务器应用
Earned Jul 19, 2023 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Jul 12, 2023 EDT
Machine Learning APIs
Earned Jul 10, 2023 EDT
Google Cloud 弹性基础设施：扩缩和自动化
Earned Jun 10, 2023 EDT
Baseline: Deploy & Develop
Earned Jun 7, 2023 EDT
探索生成式 AI - Vertex AI
Earned Jun 5, 2023 EDT
Vertex AI Studio 简介
Earned Jun 5, 2023 EDT
负责任的 AI 简介
Earned Jun 5, 2023 EDT
DevOps Essentials
Earned May 26, 2023 EDT
创建图片标注模型
Earned May 25, 2023 EDT
图像生成简介
Earned May 24, 2023 EDT
编码器-解码器架构
Earned May 24, 2023 EDT
Transformer 模型和 BERT 模型
Earned May 24, 2023 EDT
注意力机制
Earned May 24, 2023 EDT
大型语言模型简介
Earned May 24, 2023 EDT
在 Google Cloud 中使用 Kubernetes
Earned May 18, 2023 EDT
Google Cloud 重要基础设施：核心服务
Earned May 16, 2023 EDT
基准：基础架构
Earned May 16, 2023 EDT
生成式 AI 简介
Earned May 11, 2023 EDT
Machine Learning Operations (MLOps): Getting Started
Earned May 10, 2023 EDT
Google Cloud 重要基础设施：基础
Earned May 9, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned May 9, 2023 EDT
DEPRECATED Cloud Architecture
Earned May 7, 2023 EDT
Architecting with Google Kubernetes Engine: Foundations - 简体中文
Earned Apr 24, 2023 EDT
在 Google Cloud 上设置应用开发环境
Earned Apr 4, 2023 EDT
Google Kubernetes Engine 使用入门
Earned Mar 29, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Mar 19, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 19, 2023 EDT
Google Cloud 基础知识：核心基础设施
Earned Mar 3, 2023 EST
Google Cloud 基础知识
Earned Mar 3, 2023 EST
云工程
Earned Feb 28, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Feb 17, 2023 EST
Scaling with Google Cloud Operations
Earned Jan 23, 2023 EST
Modernize Infrastructure and Applications with Google Cloud
Earned Jan 23, 2023 EST
Exploring Data Transformation with Google Cloud
Earned Jan 18, 2023 EST
Digital Transformation with Google Cloud
Earned Jan 18, 2023 EST