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Narendra D
Member since 2020
在 Google Cloud 打造生成式 AI 應用程式
Earned May 10, 2026 EDT
Google Cloud: Prompt Engineering Guide
Earned May 6, 2026 EDT
負責任的 AI 技術簡介
Earned May 6, 2026 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned May 6, 2026 EDT
大型語言模型簡介
Earned Apr 28, 2026 EDT
Vertex AI Multimodal Engine
Earned Jun 12, 2025 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jun 7, 2024 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jun 7, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jun 6, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Jun 3, 2024 EDT
Build Streaming Data Pipelines on Google Cloud
Earned Jun 1, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned May 30, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned May 30, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned May 27, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned May 27, 2024 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Apr 14, 2023 EDT
Terraform by HashiCorp Game
Earned Sep 7, 2022 EDT
Anthos
Earned Sep 2, 2022 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Jun 7, 2022 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Jun 2, 2022 EDT
Networking in Google Cloud: Fundamentals
Earned May 15, 2022 EDT
大型語言模型 (LLM) 誕生之後，生成式 AI 應用程式帶來的嶄新使用者體驗，可說是幾乎前所未有。身為應用程式開發人員，您要如何在 Google Cloud，運用生成式 AI 建立出色的互動式應用程式？
本課程將帶您瞭解生成式 AI 應用程式，以及如何使用提示設計和檢索增強生成 (RAG)，透過 LLM 建構強大的應用程式。我們也會介紹可用於正式環境的生成式 AI 應用程式架構。您將建構採用 LLM 和 RAG 的對話應用程式。
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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
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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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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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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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完成 在 Google Cloud 為機器學習 API 準備資料 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。
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
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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.
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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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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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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The experienced user of Google Cloud will learn how to describe build, change, provision, and destroy infrastructure, using Terraform in the cloud environment. In these hands-on labs, you will learn how to import existing infrastructure, write Terraform configuration that matches that infrastructure, and manipulate state storage with Terraform. You will demonstrate provider installation and versioning. Build, change, provision, and destroy basic infrastructure and review the Terraform plan to ensure the configuration matches the expected state and infrastructure.
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Welcome to Cloud Hero, Gamers! Click "Join this Game" to start this game. To modify your player name or avatar, go to your My Account page at https://google.qwiklabs.com. Points are earned by completing the steps in the lab.... and bonus points are earned for speed....
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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.
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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。
在 Google Cloud 打造生成式 AI 應用程式
Earned May 10, 2026 EDT
Google Cloud: Prompt Engineering Guide
Earned May 6, 2026 EDT
負責任的 AI 技術簡介
Earned May 6, 2026 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned May 6, 2026 EDT
大型語言模型簡介
Earned Apr 28, 2026 EDT
Vertex AI Multimodal Engine
Earned Jun 12, 2025 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jun 7, 2024 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jun 7, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jun 6, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Jun 3, 2024 EDT
Build Streaming Data Pipelines on Google Cloud
Earned Jun 1, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned May 30, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned May 30, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned May 27, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned May 27, 2024 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Apr 14, 2023 EDT
Terraform by HashiCorp Game
Earned Sep 7, 2022 EDT
Anthos
Earned Sep 2, 2022 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Jun 7, 2022 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Jun 2, 2022 EDT
Networking in Google Cloud: Fundamentals
Earned May 15, 2022 EDT
在 Google Cloud 設定應用程式開發環境
Earned May 13, 2022 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned May 12, 2022 EDT
Google Cloud 必備知識
Earned May 11, 2022 EDT
重要的 Google Cloud 基礎架構：基本概念
Earned May 5, 2022 EDT
Google Cloud 基礎知識：核心基礎架構
Earned May 5, 2022 EDT