Ivana Velasco
成为会员时间:2018
白银联赛
13375 积分
成为会员时间:2018
(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
(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.
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。
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。
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。
Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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。
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。
A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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。
This content is deprecated. Please see the latest version of the course, here.
本课程指导学员运用久经考验的设计模式在 Google Cloud 上构建高度可靠且高效的解决方案。它是“Google Compute Engine 架构设计”或“Google Kubernetes Engine 架构设计”课程的延续,并假定您有使用其中任何一门课程所涵盖技术的实践经验。通过一系列演示、设计活动和动手实验,学员可以了解如何定义及平衡业务要求和技术要求,以便设计可靠性和可用性高、安全且经济实惠的 Google Cloud 部署。
完成中级技能徽章课程“优化 Google Kubernetes Engine 的费用”, 展示您在以下方面的技能:创建和管理多租户集群、按命名空间监控资源使用情况、 配置集群和 Pod 自动扩缩以提高效率、设置负载均衡以实现最佳资源分布, 以及实现活跃性与就绪性探测以确保应用正常运行并具有成本效益。 技能徽章是由 Google Cloud 颁发的专属数字徽章, 证明您在特定 Google Cloud 产品与服务方面的熟练程度;您需要在 交互式实操环境中参加考核,证明自己运用所学知识的能力后才能获得此徽章。完成此技能 徽章课程和作为最终评估的实验室挑战赛,即可获得技能徽章, 在您的人际圈中炫出自己的技能。
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。
完成入门级在 Compute Engine 上实现负载均衡技能徽章课程,展示自己在以下方面的技能: 编写 gcloud 命令和使用 Cloud Shell,在 Compute Engine 中创建和部署虚拟机, 以及配置网络和 HTTP 负载均衡器。 技能徽章是由 Google Cloud 颁发的专属数字徽章, 旨在认可您在 Google Cloud 产品与服务方面的熟练度; 该课程会检验您在交互式实操环境中运用所学知识的 能力。完成此技能徽章课程和作为最终评估的实验室挑战赛, 即可获得技能徽章,并在您的圈子中秀一秀。
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。
这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务,着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验,探索和部署各种解决方案元素,包括网络、系统和应用服务等基础架构组件。本课程的内容还包括如何部署实用的解决方案,包括客户提供的加密密钥、安全和访问权限管理、配额和结算,以及资源监控。
“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。
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 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.
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。
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.
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.
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.
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.
如果您是一位入门级云开发者, 在学习了“Google Cloud 基础知识”课程之后,想要寻求真正的实操机会,这门课程就是您的不二之选。您将获得宝贵的实操经验, 通过多个实验深入探索 Cloud Storage 以及 Monitoring 和 Cloud Functions 等其他关键应用服务。您将掌握一系列宝贵技能, 在 Google Cloud 的任何计划中,这些技能都能发挥作用。
Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.