Networking in Google Cloud: Network Architecture
Earned Sep 26, 2025 EDT
Networking in Google Cloud: Network Security
Earned Sep 26, 2025 EDT
图像生成简介
Earned Dec 16, 2024 EST
负责任的 AI 简介
Earned Dec 16, 2024 EST
大型语言模型简介
Earned Dec 16, 2024 EST
生成式 AI 简介
Earned Dec 15, 2024 EST
适用于生成式 AI 的机器学习运维 (MLOps)
Earned Dec 14, 2024 EST
Introduction to Security Principles in Cloud Computing
Earned Jul 2, 2024 EDT
为 Looker 信息中心和报告准备数据
Earned Aug 22, 2022 EDT
Welcome to the third course of the "Networking in Google Cloud" series: Network Architecture!
In this course, you will explore the fundamentals of designing efficient and scalable network architectures within Google Cloud.
In the first module, Introduction to Network Architecture, we'll start by introducing you to the core components and concepts of network architecture, including subnets, routes, firewalls, and load balancing.
Then in the second module, network topologies, we'll dive into various network topologies commonly used in Google Cloud, discussing their strengths, and weaknesses.
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Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security!
In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure.
The first module, Distributed Denial of Service (DDoS) Protection, covers how to fortify your network against Distributed Denial of Service (DDoS) attacks, ensuring uninterrupted availability of your services.
In the second module, Controlling Access to VPC Networks, you'll learn the network access control, enabling you to define permissions for who can access your resources and how.
Finally, in the third module, Advanced Security Monitoring and Analysis, we'll explore how to proactively detect and respond to potential threats, keeping your Google Cloud environment secure and resilient.
By the end of this course, you'll have a comprehensive understanding of Google Cloud network security.
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本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。
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这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。
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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
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本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。
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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
Networking in Google Cloud: Network Architecture
Earned Sep 26, 2025 EDT
Networking in Google Cloud: Network Security
Earned Sep 26, 2025 EDT
图像生成简介
Earned Dec 16, 2024 EST
负责任的 AI 简介
Earned Dec 16, 2024 EST
大型语言模型简介
Earned Dec 16, 2024 EST
生成式 AI 简介
Earned Dec 15, 2024 EST
适用于生成式 AI 的机器学习运维 (MLOps)
Earned Dec 14, 2024 EST
Introduction to Security Principles in Cloud Computing
Earned Jul 2, 2024 EDT
为 Looker 信息中心和报告准备数据
Earned Aug 22, 2022 EDT