Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Sep 11, 2024 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned Sep 8, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned Sep 8, 2024 EDT
Change Management for Google Workspace
Earned Sep 5, 2024 EDT
Google Workspace Data Governance
Earned Sep 3, 2024 EDT
Google Workspace Security
Earned Sep 2, 2024 EDT
在 Vertex AI 設計提示
Earned Aug 21, 2024 EDT
Google Workspace Core Services
Earned Aug 20, 2024 EDT
Google Workspace User and Resource Management
Earned Aug 20, 2024 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned Mar 28, 2024 EDT
Preparing for Your Google Workspace Administrator Journey
Earned Mar 28, 2024 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned Feb 6, 2024 EST
在 Google Cloud 設定應用程式開發環境
Earned Feb 5, 2024 EST
Managing Cloud Infrastructure with Terraform
Earned Feb 1, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Feb 1, 2024 EST
Getting Started With Application Development
Earned Jan 31, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Jan 29, 2024 EST
可靠的 Google Cloud 基礎架構：設計與程序
Earned Jan 28, 2024 EST
Getting Started with Terraform for Google Cloud
Earned Jan 28, 2024 EST
Trust and Security with Google Cloud
Earned Jan 25, 2024 EST
Scaling with Google Cloud Operations
Earned Jan 25, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned Jan 25, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned Jan 24, 2024 EST
Exploring Data Transformation with Google Cloud
Earned Jan 24, 2024 EST
讓您的 Google Cloud 支出發揮最大效益
Earned Jan 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jan 23, 2024 EST
Digital Transformation with Google Cloud
Earned Jan 22, 2024 EST
Developing a Google SRE Culture
Earned Jan 22, 2024 EST
Google Cloud 基礎知識：核心基礎架構
Earned Jan 22, 2024 EST
Enterprise Search on Generative AI App Builder
Earned Jan 18, 2024 EST
Google Cloud 的 AI 和機器學習服務簡介
Earned Oct 20, 2023 EDT
Google Cloud 資料分析簡介
Earned Oct 11, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Aug 31, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Aug 30, 2023 EDT
大型語言模型簡介
Earned Aug 28, 2023 EDT
生成式 AI 簡介
Earned Aug 28, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 28, 2023 EDT
本課程將複習 Model Armor 的基本安全功能，讓您具備使用這項服務的能力。您將瞭解 LLM 的相關安全風險，以及 Model Armor 如何保護 AI 應用程式。
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人工智慧 (AI) 帶來轉型可能，但全新資安挑戰也隨著出現。本課程介紹資料安全和保護的策略，可幫助相關領域的領導者，在企業內部安全地管理 AI。您可以瞭解如何建立框架，主動辨別和減輕 AI 特有的風險、保護機密資料、確實法規遵循，並打造堅韌的 AI 基礎架構。我們提供四個不同產業的案例，帶您探索如何實際應用這些策略。
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This course introduces the SOAR component of Google SecOps, guiding learners through setup, response automation, and reporting. With demos, hands-on examples, and quizzes, participants will learn how to simplify investigations and make day-to-day security operations more efficient. The course is designed around short videos, averaging about five minutes each, divided into granular topics to support different learning styles and fit into the time learners have available.
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This course helps you understand how to use Chronicle to properly handle security incidents.
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This course helps developers customize Chronicle and augment its abilities with third party integrations.
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這是 Google Cloud 資料分析專業證書五堂課程中的第一堂。在本課程中，您將瞭解雲端資料分析領域的定義，並說明雲端資料分析師在資料擷取、儲存、處理和視覺化方面的角色與職責。您將瞭解 BigQuery 和 Cloud Storage 等 Google Cloud 工具的架構，以及如何運用這些工具有效組織、呈現及彙整資料。
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這是 Google Cloud Data Analytics 專業證書五堂課程中的第五堂。在本課程中，您將結合第一到第四堂課程的基礎知識和技能，並活用所學，透過專題實作呈現完整的資料生命週期。您將練習使用雲端式工具，有效率地取得、儲存、處理、分析資料，並以圖表呈現及傳達資料洞察結果。本課程結束後，您將完成一項專案，證明自己精通於有效整理多個來源的資料、向不同相關人士說明解決方案，以及運用雲端式軟體將資料洞察結果以圖表呈現。此外，您還會更新履歷，並練習面試技巧，為應徵和面試做好準備。
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In this video, you'll learn to use a simple text prompt in Gemini Canvas to build a playable game. You'll see how to create a Tic-Tac-Toe game, use a follow-up prompt to customize its theme to a retro 8-bit style, and share the final game with a link.
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In this video, you'll learn to build a working music synthesizer using a simple text prompt in Gemini Canvas. You'll see how to specify controls like waveform, attack, and sustain, and then interact with the generated instrument to create and experiment with your own unique sounds.
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In this video, you'll learn to use creative prompts in Gemini to make complex research fun and easy to understand. You'll see how to ask Gemini to research a topic and present the findings in a creative format, like a sports scouting report and a head-to-head bracket, to better visualize and compare your options.
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In this video, you'll learn to use the Create menu in Gemini Canvas to instantly convert a block of text into a variety of visual formats. You’ll see how to take a brainstormed marketing campaign and turn it into both a shareable infographic and an internal webpage with just one click.
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In this video, you'll learn to use Gemini Canvas to turn a simple drawing into a working app. You'll upload a sketch, use a simple prompt to generate code, watch a live preview build itself, and make iterative changes to your app prototype using natural language.
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This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.
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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.
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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.
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This video covers how to use NotebookLM for common marketing tasks like
analyzing customer feedback, conducting market research, and generating
content ideas.
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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.
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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.
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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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This video covers how to use Gemini in Gmail to draft new emails,
refine their tone, respond with context from Drive files, and use smart
reply suggestions.
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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.
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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
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This video covers how to use Gemini in Slides to automatically generate
meeting recaps and draft follow-up emails, which can streamline your
post-meeting workflow and save you time.
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This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.
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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
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This video covers how to personalize your Gemini results in Google
Workspace. Learn to incorporate documents and research papers directly
into your prompts using the "@" symbol to get more targeted and relevant
AI output tailored to your needs.
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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
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This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
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This video will cover how to use NotebookLM to gather and analyze
publicly available information, combine it with internal documents, and
extract key competitive insights.
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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
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This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.
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This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.
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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
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This video will cover how to leverage Gemini Gems to create authentic
social media posts in your leader's unique voice. Learn to overcome the
challenge of scaling executive social presence by training a Gem with
writing samples and clear instructions. Discover how to generate engaging
posts quickly, saving time while amplifying thought leadership and
ensuring authenticity.
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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.
「生成式 AI 代理：實現組織轉型」是 Gen AI Leader 學習路徑的第五堂也是最後一堂課程。本課程將探討組織如何運用自訂生成式 AI 代理，解決特定的業務難題。您將動手練習建構基本的生成式 AI 代理，同時探索這類代理的各種元件，例如模型、推論迴圈和工具。
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「生成式 AI 應用程式：徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。
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「生成式 AI：掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。
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「生成式 AI: 瞭解基礎概念」是 Generative AI Leader 學習路徑的第二門課程。在本課程中,您將瞭解 AI、機器學習和生成式 AI 的差異,以及各種資料類型如何協助生成式 AI 解決業務難題,進而掌握生成式 AI 的基礎概念。您還能深入瞭解 Google Cloud 應對基礎
模型限制的策略,以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。
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「生成式 AI：不只是聊天機器人」是 Generative AI Leader 學習路徑的第一門課程,沒有任何修課條件。本課程將帶您超越基本知識,進一步瞭解聊天機器人,探索如何在組織中充分發揮生成式 AI 的潛力。您將瞭解基礎模型和提示工程等概念,掌握善用生成式AI 的關鍵。本課程也會帶您瞭解擬定生成式 AI 策略時的多種重要考量,協助您為組織擬定出成功的策略。
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這堂課程會說明 BigQuery 中的檢索增強生成 (RAG) 解決方案，協助您減少 AI 幻覺。當中介紹的 RAG 工作流程包含建立嵌入項目、搜尋向量空間，以及生成更符合需求的答案。另外，這堂課程會解釋這些步驟背後的概念與原因，以及實際運用 BigQuery 實作的方法。完成課程之後，學員將學會使用 BigQuery，以及 Gemini 和嵌入模型等生成式 AI 模型，建立 RAG pipeline 來處理自己的 AI 幻覺應用實例。
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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
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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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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會概略介紹雲端基礎知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能闡述這些概念並展示實用技能。學員需依序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
本系列的最後一堂課回顧了代管大數據服務、機器學習與這項技術的價值，以及如何獲得技能徽章，進一步展示您的 Google Cloud 技能。
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In this course you will learn how Contact Center AI Agent Assist can help distill complex customer interactions into concise and clear summaries.
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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助您透過 Google Cloud 使用 Google 產品和服務，開發、測試、部署及管理應用程式。有了 Gemini 的協助，您會學到如何開發和建構網頁應用程式、修正應用程式中的錯誤、開發測試及查詢資料。在實作研究室中，您也會體驗到 Gemini 如何改良軟體開發生命週期 (SDLC)。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助網路工程師建立、更新及維護虛擬私有雲網路。您將瞭解如何透過提示讓 Gemini 為網路工作提供指引，獲得比搜尋結果更具體的資訊。在實作研究室中，您也會體驗到 Gemini 如何簡化 Google Cloud 虛擬私有雲網路的作業。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助工程師透過 Google Cloud 管理基礎架構。您將學到如何透過提示讓 Gemini 尋找和瞭解應用程式記錄檔、建立 GKE 叢集，以及研究如何打造建構環境。在實作研究室中，您也會瞭解 Gemini 如何改良開發運作的工作流程。
Duet AI 已更名為 Gemini，是我們新一代的模型。
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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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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助您透過 Google Cloud 保護雲端環境和資源。您將學到如何將工作負載範例部署到 Google Cloud 中的環境，以及運用 Gemini 找出並修復安全性設定錯誤。在實作研究室中，您也會體驗到 Gemini 如何改良雲端安全防護機制。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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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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Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.
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This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助管理員在 Google Cloud 佈建基礎架構。您將瞭解如何透過提示讓 Gemini 解釋基礎架構、部署 GKE 叢集，以及更新既有的基礎架構。在實作研究室中，您也會體驗到 Gemini 如何改良 GKE 的部署工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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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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Gemini for Google Workspace 是一項外掛程式，可讓使用者存取生成式 AI 功能。本課程使用影片、實作活動和練習範例，深入介紹 Google 雲端硬盤中的 Gemini 的功能。 課程結束後，您將具備 Google 雲端硬盤中的 Gemini 的知識及技能，可自信地運用這項工具提升工作流程的效率。
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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 Google 簡報善用這些功能，提高生產力和效率。
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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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安裝 Gemini 版 Google Workspace 外掛程式後，客戶就能在 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 Google 試算表善用這些功能，提高生產力和效率。
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使用者將能透過 Gemini 版 Google Workspace 外掛程式運用生成式 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 文件的功能。您將學到如何透過 Gemini 使用提示生成撰寫內容、編輯寫好的文字，以提升整體工作效率。本課程結束後，您將具備 Gemini 版 Google 文件的知識及技能，可自信地運用這項工具提升寫作品質。
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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 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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本課程針對評估生成式和預測式 AI 模型，向機器學習從業人員介紹相關的基礎工具、技術和最佳做法。模型評估是機器學習的重要領域，確保這類系統能在正式環境中提供可靠、準確且成效優異的結果。
學員將深入瞭解多種評估指標與方法，以及適用於不同模型類型和工作的應用方式。此外，也會特別介紹生成式 AI 模型帶來的獨特難題，並提供有效的應對策略。透過 Google Cloud Vertex AI 平台，學員將瞭解在模型挑選、最佳化和持續監控方面，該如何導入穩健的評估程序。
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這堂課程會介紹 AI 搜尋技術、工具和應用程式。主題涵蓋使用向量嵌入執行語意搜尋；結合語意和關鍵字做法的混合型搜尋機制；以及運用檢索增強生成 (RAG) 技術建構有基準的 AI 代理，盡可能減少 AI 幻覺。您可以實際使用 Vertex AI Vector Search，打造智慧型搜尋引擎。
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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。
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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本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型，並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室，您將能探索從提示到正式環境的生命週期，同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio，在專案中發揮生成式 AI 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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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第一門課會概略說明雲端運算、Google Cloud 的使用方式，以及不同的運算選項。
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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This course is for deployment personnel of Google Cloud and its partner organizations who are tasked with managing cultural change and skill gaps of customers adopting Google Workspace, engaging sponsors and enlisting the support of customer stakeholders, communicating the anticipated changes to the customer and their users. It will guide you through the Workspace change management methodology and all phases of the customer journey.
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This course equips learners with skills to govern data within their Google Workspace environment. Learners will explore data loss prevention rules in Gmail and Drive to prevent data leakage. They will then learn how to use Google Vault for data retention, preservation, and retrieval purposes. Next, they will learn how to configure data regions and export settings to align with regulations. Finally, learners will discover how to classify data using labels for enhanced organization and security.
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This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
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完成 在 Vertex AI 設計提示 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。
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This course was designed to give learners a comprehensive understanding of Google Workspace core services. Learners will explore enabling, disabling, and configuring settings for these services, including Gmail, Calendar, Drive, Meet, Chat, and Docs. Next, they'll learn how to deploy and manage Gemini to empower their users. Finally, learners will examine use cases for AppSheet and Apps Script to automate tasks and extend the functionality of Google Workspace applications.
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This course was designed to provide an understanding of user and resource management in Google Workspace. Learners will explore the configuration of organizational units to align with their organization's needs. Additionally, learners will discover how to manage various types of Google Groups. They will also develop expertise in managing domain settings within Google Workspace. Finally, learners will master the optimization and structuring of resources within their Google Workspace environment.
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Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series.
In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area.
You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training.
This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.
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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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In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Security on Google Cloud's Apigee API Platform course.
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只要修完「在 Google Cloud 設定應用程式開發環境」課程，就能獲得技能徽章。 在本課程中，您將學會如何使用以下技術的基本功能，建構和連結以儲存空間為中心的雲端基礎架構：Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
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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.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
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This course helps learners create a study plan for the PDE (Professional Data 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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這堂課程可讓參加人員瞭解如何使用確實有效的設計模式，在 Google Cloud 中打造相當可靠且效率卓越的解決方案。這堂課程接續了「設定 Google Compute Engine 架構」或「設定 Google Kubernetes Engine 架構」課程的內容，並假設參加人員曾實際運用上述任一課程涵蓋的技術。這堂課程結合了簡報、設計活動和實作研究室，可讓參加人員瞭解如何定義業務和技術需求，並在兩者之間取得平衡，設計出相當可靠、可用性高、安全又符合成本效益的 Google Cloud 部署項目。
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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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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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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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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.
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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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本課程是 Google Cloud 帳單 與費用管理必備知識系列的第二堂 (共兩堂)，最適合從事金融和/或 IT 相關職務， 且負責組織雲端基礎架構最佳化的人士修習。 在這堂課程，您將學會如何控管 Google Cloud 支出並發揮最大效益。 這些做法包括設定預算和警告、管理配額限制 及善用承諾使用折扣。在實作實驗室，你會練習使用各種工具 控管和最佳化 Google Cloud 支出，或引導技術團隊採用最佳做法， 提升資金使用效率。
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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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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.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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「Google Cloud 基礎知識：核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。
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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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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
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這堂初級課程將介紹 Google Cloud 的資料分析工作流程，以及用於探索、分析資料並以圖表呈現的工具。您也能學會如何與相關人員分享自己的發現結果。本課程包含個案研究、實作實驗室、講座、測驗和示範，實際展示如何將原始資料集轉化為清晰的資料，進而呈現出能發揮成效的圖表和資訊主頁。無論您是資料領域從業人員、想瞭解如何透過 Google Cloud 取得成功，或有意在職涯中更上一層樓，本課程都能協助您踏出第一步。絕大多數在工作上執行或運用資料分析的學員，都能從本課程受益。
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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「Introduction to Generative AI」、「Introduction to Large Language Models」和「Introduction to Responsible AI」課程，即可獲得技能徽章。通過最終測驗，就能展現您對生成式 AI 基本概念的掌握程度。
「技能徽章」是 Google Cloud 核發的數位徽章，用於表彰您對 Google Cloud 產品和服務的相關知識。您可以將技能徽章公布在社群媒體的個人資料中，向其他人分享您的成果。
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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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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。
Model Armor：保護您部署的 AI 應用程式
Earned Dec 19, 2025 EST
AI 世界的安全防護簡介
Earned Dec 19, 2025 EST
Introduction Google Security Operations (SOAR)
Earned Dec 18, 2025 EST
Google Security Operations - SOAR Analyst
Earned Dec 17, 2025 EST
Google Security Operations - SOAR Developer
Earned Dec 16, 2025 EST
Google Cloud 資料分析功能簡介
Earned Dec 16, 2025 EST
綜合應用：為 Cloud 資料分析師工作做準備
Earned Dec 16, 2025 EST
AI Boost Bites: Create Your Own Retro Arcade Game
Earned Dec 11, 2025 EST
AI Boost Bites: Become a "Vibe DJ"
Earned Dec 11, 2025 EST
AI Boost Bites: Create Your Ultimate College Scouting Report
Earned Dec 11, 2025 EST
AI Boost Bites: One-Click Campaign Visuals
Earned Dec 11, 2025 EST
AI Boost Bites: From Napkin Sketch to Functional App
Earned Dec 11, 2025 EST
AI Boost Bites: NotebookLM Reports
Earned Dec 11, 2025 EST
AI Boost Bites: Your Personal Feedback Agent
Earned Dec 11, 2025 EST
AI Boost Bites: Presentation Scripts with Gemini
Earned Dec 11, 2025 EST
AI Boost Bites: Project Notebooks
Earned Dec 11, 2025 EST
AI Boost Bites: NotebookLM for Market Research
Earned Dec 11, 2025 EST
AI Boost Bites: NotebookLM Video Overviews
Earned Dec 11, 2025 EST
AI Boost Bites: Discover Sources in NotebookLM
Earned Dec 11, 2025 EST
AI Boost Bites: NotebookLM Mind Maps
Earned Dec 11, 2025 EST
AI Boost Bites: Intro to NotebookLM
Earned Dec 11, 2025 EST
AI Boost Bites: Email Content Creation
Earned Dec 11, 2025 EST
AI Boost Bites: Create Docs in Seconds
Earned Dec 11, 2025 EST
AI Boost Bites: AI Power-Ups for Google Workspace
Earned Dec 11, 2025 EST
AI Boost Bites: Tame Your Inbox with AI
Earned Dec 11, 2025 EST
AI Boost Bites: Gemini Slide Summaries
Earned Dec 11, 2025 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned Dec 11, 2025 EST
AI Boost Bites: Poke Holes in Your Strategy
Earned Dec 11, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned Dec 11, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Dec 11, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned Dec 11, 2025 EST
AI Boost Bites: NotebookLM for Competitive Edge
Earned Jun 16, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned Jun 16, 2025 EDT
AI Boost Bites: "Eat the Frog" with NotebookLM
Earned Jun 16, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts
Earned Jun 16, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems
Earned Jun 16, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Jun 16, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned Jun 16, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM
Earned Jun 16, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Jun 16, 2025 EDT
Security Command Center Fundamentals
Earned Jun 16, 2025 EDT
在 BigQuery 使用 Gemini 模型
Earned Jun 12, 2025 EDT
生成式 AI 代理：實現組織轉型
Earned Apr 14, 2025 EDT
生成式 AI 應用程式：徹底改變工作方式
Earned Apr 14, 2025 EDT
生成式 AI：掌握幕後技術與環境
Earned Apr 14, 2025 EDT
生成式 AI：瞭解基礎概念
Earned Apr 14, 2025 EDT
生成式 AI：不只是聊天機器人
Earned Apr 14, 2025 EDT
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Earned Mar 11, 2025 EDT
Build a Certification Study Guide: PMLE
Earned Jan 7, 2025 EST
開發人員的負責任 AI 技術：隱私權與安全性
Earned Jan 7, 2025 EST
Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
Earned Jan 3, 2025 EST
[DEPRECATED] Agent Summarization (Custom)
Earned Dec 4, 2024 EST
Introduction to Security in the World of AI
Earned Dec 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned Nov 15, 2024 EST
使用 Gemini：端對端 SDLC
Earned Oct 31, 2024 EDT
使用 Gemini：網路工程師
Earned Oct 31, 2024 EDT
使用 Gemini：DevOps 工程師
Earned Oct 31, 2024 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Sep 26, 2024 EDT
使用 Gemini：資安工程師
Earned Sep 26, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned Sep 21, 2024 EDT
Google Security Operations - Deep Dive
Earned Sep 20, 2024 EDT
Google Security Operations - Fundamentals
Earned Sep 19, 2024 EDT
使用 Gemini：雲端架構師
Earned Sep 19, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Sep 19, 2024 EDT
Gemini in Google Drive
Earned Sep 17, 2024 EDT
Gemini in Google Slides
Earned Sep 17, 2024 EDT
Gemini in Google Meet
Earned Sep 17, 2024 EDT
Gemini in Google Sheets
Earned Sep 17, 2024 EDT
Gemini in Google Docs
Earned Sep 17, 2024 EDT
Gemini in Gmail
Earned Sep 17, 2024 EDT
Gemini for Google Workspace 簡介
Earned Sep 17, 2024 EDT
開發人員的負責任 AI 技術：可解釋性與透明度
Earned Sep 16, 2024 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估
Earned Sep 16, 2024 EDT
Vector Search 和嵌入
Earned Sep 12, 2024 EDT
開發人員的負責任 AI 技術：公平性與偏誤
Earned Sep 11, 2024 EDT
Transformer 和 BERT 模型
Earned Sep 11, 2024 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Sep 11, 2024 EDT
Vertex AI Studio 簡介
Earned Sep 11, 2024 EDT
建立圖像說明生成模型
Earned Sep 11, 2024 EDT
編碼器-解碼器架構
Earned Sep 11, 2024 EDT
注意力機制
Earned Sep 11, 2024 EDT
圖像生成簡介
Earned Sep 11, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Sep 11, 2024 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned Sep 8, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned Sep 8, 2024 EDT
Change Management for Google Workspace
Earned Sep 5, 2024 EDT
Google Workspace Data Governance
Earned Sep 3, 2024 EDT
Google Workspace Security
Earned Sep 2, 2024 EDT
在 Vertex AI 設計提示
Earned Aug 21, 2024 EDT
Google Workspace Core Services
Earned Aug 20, 2024 EDT
Google Workspace User and Resource Management
Earned Aug 20, 2024 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned Mar 28, 2024 EDT
Preparing for Your Google Workspace Administrator Journey
Earned Mar 28, 2024 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned Feb 6, 2024 EST
在 Google Cloud 設定應用程式開發環境
Earned Feb 5, 2024 EST
Managing Cloud Infrastructure with Terraform
Earned Feb 1, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Feb 1, 2024 EST
Getting Started With Application Development
Earned Jan 31, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Jan 29, 2024 EST
可靠的 Google Cloud 基礎架構：設計與程序
Earned Jan 28, 2024 EST
Getting Started with Terraform for Google Cloud
Earned Jan 28, 2024 EST
Trust and Security with Google Cloud
Earned Jan 25, 2024 EST
Scaling with Google Cloud Operations
Earned Jan 25, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned Jan 25, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned Jan 24, 2024 EST
Exploring Data Transformation with Google Cloud
Earned Jan 24, 2024 EST
讓您的 Google Cloud 支出發揮最大效益
Earned Jan 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jan 23, 2024 EST
Digital Transformation with Google Cloud
Earned Jan 22, 2024 EST
Developing a Google SRE Culture
Earned Jan 22, 2024 EST
Google Cloud 基礎知識：核心基礎架構
Earned Jan 22, 2024 EST
Enterprise Search on Generative AI App Builder
Earned Jan 18, 2024 EST
Google Cloud 的 AI 和機器學習服務簡介
Earned Oct 20, 2023 EDT
Google Cloud 資料分析簡介
Earned Oct 11, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Aug 31, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Aug 30, 2023 EDT
大型語言模型簡介
Earned Aug 28, 2023 EDT
生成式 AI 簡介
Earned Aug 28, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 28, 2023 EDT