Networking in Google Cloud: Network Architecture
Earned Sep 26, 2025 EDT
Networking in Google Cloud: Network Security
Earned Sep 26, 2025 EDT
圖像生成簡介
Earned Dec 16, 2024 EST
負責任的 AI 技術簡介
Earned Dec 16, 2024 EST
大型語言模型簡介
Earned Dec 16, 2024 EST
生成式 AI 簡介
Earned Dec 15, 2024 EST
生成式 AI 適用的機器學習運作 (MLOps)
Earned Dec 14, 2024 EST
Introduction to Security Principles in Cloud Computing
Earned Jul 2, 2024 EDT
為 Looker 資訊主頁和報表準備資料
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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本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
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本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。
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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
圖像生成簡介
Earned Dec 16, 2024 EST
負責任的 AI 技術簡介
Earned Dec 16, 2024 EST
大型語言模型簡介
Earned Dec 16, 2024 EST
生成式 AI 簡介
Earned Dec 15, 2024 EST
生成式 AI 適用的機器學習運作 (MLOps)
Earned Dec 14, 2024 EST
Introduction to Security Principles in Cloud Computing
Earned Jul 2, 2024 EDT
為 Looker 資訊主頁和報表準備資料
Earned Aug 22, 2022 EDT