Preparing for Your Google Workspace Administrator Journey
Earned Dec 13, 2024 EST
Working with Notebooks in Vertex AI
Earned Nov 19, 2024 EST
Introduction to AI and Machine Learning on Google Cloud - 繁體中文
Earned Nov 19, 2024 EST
Professional Machine Learning Engineer Study Guide
Earned Nov 19, 2024 EST
Gemini in Google Meet - 繁體中文
Earned Nov 13, 2024 EST
Gemini in Gmail - 繁體中文
Earned Nov 13, 2024 EST
Introduction to Gemini for Google Workspace - 繁體中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Fairness & Bias - 繁體中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Privacy & Safety - 繁體中文
Earned Nov 13, 2024 EST
Machine Learning Operations (MLOps) for Generative AI - 繁體中文
Earned Nov 12, 2024 EST
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Earned Nov 12, 2024 EST
Vector Search and Embeddings - 繁體中文
Earned Nov 11, 2024 EST
Introduction to Vertex AI Studio - 繁體中文
Earned Nov 11, 2024 EST
Create Image Captioning Models - 繁體中文
Earned Nov 11, 2024 EST
Transformer Models and BERT Model - 繁體中文
Earned Nov 11, 2024 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned Nov 8, 2024 EST
Encoder-Decoder Architecture - 繁體中文
Earned Nov 8, 2024 EST
Attention Mechanism - 繁體中文
Earned Nov 7, 2024 EST
Introduction to Image Generation - 繁體中文
Earned Nov 7, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud - 繁體中文
Earned Nov 7, 2024 EST
Prompt Design in Vertex AI
Earned Nov 7, 2024 EST
Build a Secure Google Cloud Network
Earned Nov 7, 2024 EST
Prepare Data for ML APIs on Google Cloud
Earned Nov 7, 2024 EST
Set Up an App Dev Environment on Google Cloud
Earned Nov 6, 2024 EST
Implement Load Balancing on Compute Engine
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Oct 29, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Oct 25, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 24, 2024 EDT
Introduction to Responsible AI - 繁體中文
Earned Oct 17, 2024 EDT
Introduction to Large Language Models - 繁體中文
Earned Oct 17, 2024 EDT
Introduction to Generative AI - 繁體中文
Earned Oct 11, 2024 EDT
This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, 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 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.
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本課程介紹 Google Cloud 中的 AI 和機器學習 (ML) 服務。這些服務可建構預測式和生成式 AI 專案。我們將帶您探索「從資料到 AI」生命週期中適用的技術、產品和工具，包括 AI 基礎、開發選項及解決方案。課程目的是藉由生動的學習體驗與實作練習，增進數據資料學家、AI 開發人員和機器學習工程師的技能與知識。
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This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) 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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Gemini 版 Google Workspace 是一項外掛程式，可讓使用者存取生成式 AI 功能。本課程會使用影片、實作活動和練習範例，深入介紹 Gemini 版 Google Meet 的功能。您會學到如何透過 Gemini 生成背景圖片、提升視訊品質及翻譯字幕。本課程結束後，您將具備 Gemini 版 Google Meet 的知識及技能，安心運用這項工具提高視訊會議的效率。
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Gemini 版 Google Workspace 是一項外掛程式，可讓客戶在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Gmail 善用這些功能，提高生產力和效率。
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客戶能透過 Gemini 版 Google Workspace 外掛程式在 Google Workspace 使用生成式 AI 功能。本學習路徑會介紹 Gemini 的主要功能，並說明如何在 Google Workspace 善用這些功能，提高生產力和效率。
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本課程旨在說明負責任 AI 技術的概念和 AI 開發原則，同時介紹各項技術，在實務上找出公平性和偏誤，減少 AI/機器學習做法上的偏誤。我們也將探討實用方法和工具，透過 Google Cloud 產品和開放原始碼工具，導入負責任 AI 技術的最佳做法。
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本課程涵蓋「AI 隱私權」和「AI 安全性」這兩個重要主題。我們將介紹實用的方法和工具，協助您運用 Google Cloud 產品和開放原始碼工具，導入 AI 隱私權和安全性的建議做法。
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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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本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具，有助於讓資料和 AI 模型透明且可解釋。
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本課程旨在介紹 Vertex AI Vector Search，並說明如何透過大型語言模型 (LLM) API 生成嵌入，運用這項服務建構搜尋應用程式。這堂課程涵蓋概念課程、實際示範與實作研究室。概念課程將說明向量搜尋和文字嵌入；實際示範則會演示如何透過 Vertex AI 建構向量搜尋。
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Vertex AI Studio 可用於生成式 AI 模型的原型設計和自訂。本課程會介紹這項工具，並透過沉浸式課程、生動示範和實作研究室，讓您將瞭解生成式 AI 的工作流程，以及如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計和模型調整。目的是讓您能運用 Vertex AI Studio，發揮專案中這些模型的潛能。
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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隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
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完成 Prompt Design in Vertex AI 技能徽章入門課程，即可證明您具備下列技能： 在 Vertex AI 設計提示、分析圖片，以及運用多模態模型生成內容。瞭解如何建立有效的提示、引導生成式 AI 輸出內容， 以及將 Gemini 模型用於實際的行銷情境。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品與服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成 本課程及結業評量挑戰研究室，即可取得技能徽章 並與親友分享。
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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. 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 skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成 Prepare Data for ML APIs on Google Cloud 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。 「技能徽章」是 Google Cloud 核發的獨家數位徽章，用於肯定您在 Google Cloud 產品與服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成本技能徽章課程及結業評量挑戰研究室， 即可取得技能徽章並與他人分享。
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. 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 this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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完成 Implement Load Balancing on Compute Engine 技能徽章入門課程，即可證明您具備下列技能： 編寫 gcloud 指令和使用 Cloud Shell、在 Compute Engine 建立及部署虛擬機器， 以及設定網路和 HTTP 負載平衡器。 「技能徽章」是 Google Cloud 核發的 獨家數位徽章，用於肯定您在 Google Cloud 產品與服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關 知識。完成這個課程及挑戰研究室 最終評量，即可取得技能徽章並與親友分享。
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
了解详情
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
了解详情
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
了解详情
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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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。
Preparing for Your Google Workspace Administrator Journey
Earned Dec 13, 2024 EST
Working with Notebooks in Vertex AI
Earned Nov 19, 2024 EST
Introduction to AI and Machine Learning on Google Cloud - 繁體中文
Earned Nov 19, 2024 EST
Professional Machine Learning Engineer Study Guide
Earned Nov 19, 2024 EST
Gemini in Google Meet - 繁體中文
Earned Nov 13, 2024 EST
Gemini in Gmail - 繁體中文
Earned Nov 13, 2024 EST
Introduction to Gemini for Google Workspace - 繁體中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Fairness & Bias - 繁體中文
Earned Nov 13, 2024 EST
Responsible AI for Developers: Privacy & Safety - 繁體中文
Earned Nov 13, 2024 EST
Machine Learning Operations (MLOps) for Generative AI - 繁體中文
Earned Nov 12, 2024 EST
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Earned Nov 12, 2024 EST
Vector Search and Embeddings - 繁體中文
Earned Nov 11, 2024 EST
Introduction to Vertex AI Studio - 繁體中文
Earned Nov 11, 2024 EST
Create Image Captioning Models - 繁體中文
Earned Nov 11, 2024 EST
Transformer Models and BERT Model - 繁體中文
Earned Nov 11, 2024 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned Nov 8, 2024 EST
Encoder-Decoder Architecture - 繁體中文
Earned Nov 8, 2024 EST
Attention Mechanism - 繁體中文
Earned Nov 7, 2024 EST
Introduction to Image Generation - 繁體中文
Earned Nov 7, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud - 繁體中文
Earned Nov 7, 2024 EST
Prompt Design in Vertex AI
Earned Nov 7, 2024 EST
Build a Secure Google Cloud Network
Earned Nov 7, 2024 EST
Prepare Data for ML APIs on Google Cloud
Earned Nov 7, 2024 EST
Set Up an App Dev Environment on Google Cloud
Earned Nov 6, 2024 EST
Implement Load Balancing on Compute Engine
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Nov 6, 2024 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Oct 29, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Oct 25, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 24, 2024 EDT
Introduction to Responsible AI - 繁體中文
Earned Oct 17, 2024 EDT
Introduction to Large Language Models - 繁體中文
Earned Oct 17, 2024 EDT
Introduction to Generative AI - 繁體中文
Earned Oct 11, 2024 EDT