Muhammad Rayan Tanveer
Member since 2025
Gold League
6613 points
Member since 2025
In this introductory course, you'll learn how Looker can help you explore, analyze, and visualize your data to drive better decisions. Through a combination of video lectures and demos, you'll discover how to connect to various data sources, build interactive dashboards, and perform effective data analysis. Whether you're a data analyst, BI analyst, data scientist or business user, this course will equip you with the foundational knowledge to start using Looker effectively, regardless of your background.
完成「為 Google Cloud 設定服務帳戶和 IAM 角色」課程,即可獲得入門級技能徽章。這門課程會介紹服務帳戶、自訂角色,以及如何使用 gcloud 設定權限。
這堂課程會說明 Google Workspace 管理員如何解決常見的 Google Workspace 問題。學員會練習診斷及解決 Gmail、Google 日曆和雲端硬碟的問題,熟悉管理控制台的操作方式,分析稽核記錄來解決安全性問題,收集資訊並使用可用資源來解決及回報技術性問題。
本課程說明如何保護 Google Workspace 環境。學員將導入高強度密碼政策和兩步驟驗證,控管使用者存取權,然後使用安全調查工具,主動找出並應對安全風險。接著,學員將管理第三方應用程式存取權和行動裝置,確保安全無虞。最後,學員將強制執行電子郵件安全性和法規遵循措施,保護機構資料。
本課程可助您培養在 Google Workspace 環境管理資料的技能。首先,您會瞭解如何在 Gmail 和雲端硬碟,運用資料遺失防護規則防止資料外洩。接著,您將學習使用 Google 保管箱保留、保存及檢索資料。再來,我們會說明如何設定資料地區和匯出方式,以遵守法規要求。最後,您會學習運用標籤區分資料,更安全有條理地管理資料。
本課程介紹 Google Workspace 的使用者和資源管理功能,學員將瞭解如何根據組織需求來設定組織單位、管理各類型的 Google 群組、培養有關管理 Google Workspace 網域設定的專業知識,最後學會如何最佳化及整理 Google Workspace 環境內的資源。
本課程旨在讓學員全面瞭解 Google Workspace 核心服務。學員將瞭解如何啟用、停用及設定這些服務,包括 Gmail、日曆、雲端硬碟、Meet、Chat 和文件。接著,他們將學習如何部署及管理 Gemini,為使用者提供強大助力。最後,學員將瞭解 AppSheet 和 Apps Script 的應用實例,學習如何自動處理工作,並擴充 Google Workspace 應用程式的功能。
Unlock the power of generative AI to create intelligent, automated agents. After completing this course, you'll be equipped to develop a data store agent that can instantly answer complex questions by automatically extracting and synthesizing information from your websites, documents, or structured data. Say goodbye to static FAQs—your new agent will provide dynamic, accurate answers and even surface the original source URLs, all with a simple and rapid setup.
This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.
In this course, you'll dive deep into the essential topics you need to know to design, build, and maintain a powerful CES solution. Get ready to transform your understanding of what's possible and create an architecture that drives customer satisfaction. This course is designed to introduce you to the architecture of the Customer Engagement Suite (CES). You'll explore the main considerations for building and implementing Conversational AI solutions including key architectural components and integrations. You'll also explore how Conversational AI interacts with Vertex AI and get a high-level overview of the key features of the Conversational AI Platform.
Transform your understanding of customer service with this course on the Customer Engagement Suite (CES) and its powerful generative AI capabilities. You'll start by tracing the journey of contact centers, understanding how they've evolved and where gen AI is propelling them next. Then, you'll gain a deep understanding of the core building blocks within the CES solution, seeing how each component contributes to delivering exceptional customer experiences. The course concludes by exploring the robust business case for CES, along with practical use cases and the various user personas that benefit from this innovative solution.
In this course you will learn how to leverage Conversational Insights to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions.
This course will teach you how to build conversational experiences for Conversational Agents using Generative Playbooks. You'll start with an introduction to playbooks and learn how to set up your first one. You'll also learn about the importance of testing, as well as key production considerations like quota limits and integration. The course concludes with a case study that shows how to use playbooks for generative steering.
Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals. This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques.
This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.
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.
In this video, you'll learn to build a reusable, custom "Study Guide Gem." You'll see how to write the core instructions for your Gem once, and then use it again and again to transform messy notes and articles into a perfectly structured study guide with a summary, outline, and glossary.
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.
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.
使用生成式 AI 為使用者提供更好的搜尋流程,強化網站的瀏覽體驗。在本課程中,您會瞭解如何使用 Vertex AI Search,讓網站使用者能享有生成式搜尋體驗,進一步發掘網站內容。身為網站編輯,您也會學習如何使用生成式 AI 輸出建議,迅速有效地翻譯及調整內容。
完成「在 Google Cloud 使用 TensorFlow 分類圖像」技能徽章中階課程, 瞭解如何使用 TensorFlow 和 Vertex AI 建立及訓練機器學習模型, 即可獲得技能徽章。在 Vertex AI Workbench 中,你主要會和使用者自行管理的筆記本 互動。
完成 使用 Gemini 和 Streamlit 開發生成式 AI 應用程式 技能徽章中階課程,即可證明您具備下列技能: 生成文字、透過 Python SDK 和 Gemini API 呼叫函式,以及運用 Cloud Run 部署 Streamlit 應用程式。 您將瞭解如何以不同方式透過提示請 Gemini 生成文字、使用 Cloud Shell 測試及疊代 Streamlit 應用程式,隨後封裝成 Docker 容器並在 Cloud Run 中部署。
完成「在 Google Cloud 使用機器學習 API」課程,即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能: Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
完成 在 Agent Platform 設計提示 技能徽章入門課程,即可證明您具備下列技能: 在 Agent Platform 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。
完成「使用 Natural Language API 分析情緒」任務, 瞭解 API 如何從文字判斷情緒, 即可獲得技能徽章。
完成使用 Document AI 大規模自動擷取資料課程,即可獲得入門級技能徽章。在本課程中,您將瞭解如何使用 Document AI 擷取、處理及提取資料。