Shankar M
Member since 2026
Silver League
11818 points
Arcade Base Camp July 2026
Earned Jul 23, 2026 EDT
Build a Certification Study Guide: PCDBE Exam Prep
Earned Jul 23, 2026 EDT
[Deprecated]Google Security Operations - Fundamentals
Earned Jul 23, 2026 EDT
Quiz: GDC Air-Gapped Security Operator Fundamentals
Earned Jul 23, 2026 EDT
Security Command Center Fundamentals
Earned Jul 23, 2026 EDT
Introduction to Looker
Earned Jul 23, 2026 EDT
Network Observability on Google Cloud
Earned Jul 23, 2026 EDT
Introduction to Google Distributed Cloud Sandbox
Earned Jul 23, 2026 EDT
圖像生成簡介
Earned Jul 23, 2026 EDT
Google DeepMind: 03 Design And Train Neural Networks
Earned Jul 23, 2026 EDT
Innovating with Data and Google Cloud
Earned Jul 23, 2026 EDT
Google DeepMind: 07 Accelerate Your Model
Earned Jul 23, 2026 EDT
運用 Google Cloud 人工智慧推動創新
Earned Jul 23, 2026 EDT
AI 基礎架構：Cloud TPU
Earned Jul 23, 2026 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Jul 23, 2026 EDT
編碼器-解碼器架構
Earned Jul 23, 2026 EDT
以人為本的 AI
Earned Jul 23, 2026 EDT
Build a Certification Study Guide: PMLE
Earned Jul 23, 2026 EDT
Introduction to Reliable Deep Learning
Earned Jul 23, 2026 EDT
注意力機制
Earned Jul 23, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned Jul 23, 2026 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Jul 23, 2026 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估
Earned Jul 23, 2026 EDT
Enterprise Search on Generative AI App Builder
Earned Jul 23, 2026 EDT
AI Boost Bites：使用 Gemini 輕鬆生成內容
Earned Jul 23, 2026 EDT
Introduction to reCAPTCHA
Earned Jul 23, 2026 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Jul 22, 2026 EDT
Introduction to GKE Networking
Earned Jul 22, 2026 EDT
生成式 AI 在醫療照護領域的應用
Earned Jul 22, 2026 EDT
生成式 AI 簡介
Earned Jul 22, 2026 EDT
AI Boost Bites: Triage a Crisis with Gemini
Earned Jul 22, 2026 EDT
AI Boost Bites：運用 AI 整理收件匣
Earned Jul 22, 2026 EDT
AI Boost Bites: The Recruiter's Playbook in Gmail
Earned Jul 22, 2026 EDT
AI 知識補給站：在 Gmail 中使用 Gemini 安排日曆的訣竅
Earned Jul 22, 2026 EDT
Gmail 內建 Gemini
Earned Jul 22, 2026 EDT
[DEPRECATED] Gmail
Earned Jul 22, 2026 EDT
從 BigQuery 資料取得深入分析結果
Earned Jul 21, 2026 EDT
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Database Engineer certification exam. You'll get an overview of the Gemini Notebook essentials, learn how to add sources, and use the study guide to practice for a certification exam.
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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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This quiz tests your GDC Air-Gapped Security Operator Fundamental knowledge.
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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.
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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.
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This mini-course will empower users to understand Network Observability in Google Cloud to gain comprehensive visibility into their network traffic, proactively identify issues, and optimize their infrastructure. By understanding how Network Observability works in Google Cloud, organizations can ensure seamless application delivery and enhance their overall cloud architecture and operations.
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In this course, you'll gain a solid understanding of Google Distributed Cloud (GDC) Sandbox—a cost-effective and accessible environment for building, testing, and evaluating GDC solutions. You'll explore the GDC Sandbox's architecture, key features, and service offerings and see how they enable real-world use cases. Most importantly, you'll observe demonstrations on performing essential operational tasks, such as deploying virtual machines and containers.
By the end, you'll be equipped to confidently navigate the GDC Sandbox environment.
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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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In this Google DeepMind course you will focus on the training process for machine learning models. You will learn how to spot and mitigate issues when training a model, such as overfitting and underfitting. In practical coding labs, you will implement and evaluate the multilayer perceptron for simple classification tasks. This will provide insights into the mechanics of training a neural network model and the backpropagation algorithm. Research case studies will demonstrate how neural networks power real-world models. Additionally, you will consider the broader social impacts of innovation by looking beyond immediate benefits to anticipate potential risks, safety concerns, and further-reaching societal consequences.
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Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers.
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.
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Train more powerful models with a single GPU. In this course, you will learn how hardware can speed up model training and the key considerations when training models on a GPU. First, you will learn how to estimate the number of computations and the amount of computer memory required to train large neural networks. You will then discover techniques for reducing the computing and memory requirements when training a model. Techniques which you will apply for fine-tuning a Gemma model with 4 billion parameters. Finally, you will consider the potential environmental impacts of machine learning, with a focus on where questions of energy, water, and e-waste intersect with justice and equity.
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人工智慧 (AI) 和機器學習 (ML) 象徵著資訊技術的重大演進，正迅速改變各行各業。在「運用 Google Cloud 人工智慧推動創新」課程中，我們會探討組織如何運用 AI 和機器學習技術，翻轉業務流程。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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歡迎來到 Cloud TPU 課程。我們將探討在各種情境下使用 TPU 的優缺點，並比較不同的 TPU 加速器，協助您選擇合適的工具。您將瞭解如何盡可能提高 AI 模型的效能和效率，以及互通的 GPU/TPU 對於打造靈活的機器學習工作流程有多重要。我們會透過引人入勝的內容和實際演示，一步步引導您有效運用 TPU。
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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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本課程概要說明解碼器與編碼器的架構，這種強大且常見的機器學習架構適用於序列對序列的任務，例如機器翻譯、文字摘要和回答問題。您將認識編碼器與解碼器架構的主要元件，並瞭解如何訓練及提供這些模型。在對應的研究室逐步操作說明中，您將學習如何從頭開始使用 TensorFlow 寫程式，導入簡單的編碼器與解碼器架構來產生詩詞。
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探索從任務導向工作流程到人本 AI 自動化調度管理的重要轉變。您將學習如何策略性區分擴增和自動化，以及如何平衡機器效率與人類直覺。
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
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This course introduces you to the world of reliable deep learning, a critical discipline focused on developing machine learning models that not only make accurate predictions but also understand and communicate their own uncertainty. You'll learn how to create AI systems that are trustworthy, robust, and adaptable, particularly in high-stakes scenarios where errors can have significant consequences.
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本課程將介紹注意力機制，說明這項強大技術如何讓類神經網路專注於輸入序列的特定部分。此外，也將解釋注意力的運作方式，以及如何使用注意力來提高各種機器學習任務的成效，包括機器翻譯、文字摘要和回答問題。
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In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.
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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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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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這部影片將說明如何運用 Gemini 版 Google 文件的進階 AI 功能，發想點子、草擬各種行銷內容，並與團隊順暢協作。
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This course equips learners with the information they need to deploy reCAPTCHA in their websites, mobile applications, and web application firewalls (WAF). The course covers roles and permissions needed to integrate various reCAPTCHA features such as keys, assessments, and IP address allowlists, as well as the steps involved in preparing their cloud environment for reCAPTCHA integration. Learners will then have the opportunity to integrate reCAPTCHA into a cloud security architecture with Cloud Armor Bot Management.
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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In this course, the first in the Configure Google Kubernetes Engine Networking series, you'll learn how to use the Google Cloud Architecture Center to get started designing a VPC networking solution to support a GKE infrastructure.
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本課程專為專業醫護人員設計，深入淺出地介紹人工智慧的最新突破：生成式 AI，以及這項技術的推手：大型語言模型 (LLM)。您將瞭解生成式 AI 在醫療照護領域的實際應用，並掌握訣竅，針對特定目標撰寫有效的提示詞。
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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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This video covers how to use the Gemini side panel in Gmail to analyze long email threads, identify technical owners, and draft escalations to resolve customer crises.
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這部影片說明如何使用 Gmail 內建 Gemini 歸納電子郵件重點、尋找資訊及草擬回覆，更有效率地管理收件匣。
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In this video, you'll learn to streamline your email workflow using Gemini. Master the art of generating to-do lists from your inbox, crafting specific outreach prompts for better results, and polishing your drafts to perfection.
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這部影片說明如何使用 Gmail 內建 Gemini 管理 Google 日曆，包括在側邊面板詢問行程，以及一鍵將在電子郵件中偵測到的活動新增至日曆。
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本課程將說明如何使用 Gmail 內建 Gemini，提升電子郵件管理效率。瞭解如何直接在收件匣中總結冗長的討論串、使用自然語言擷取資訊、草擬專業回覆，以及制定溝通策略。
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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser.
In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程，即可證明您具備下列技能： 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤，以及在 Data Studio 中 透過連結 BigQuery 資料建立報表。
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