Generative AI Fundamentals - 繁體中文
Earned Jul 6, 2023 EDT
負責任的 AI 技術簡介
Earned Jul 6, 2023 EDT
大型語言模型簡介
Earned Jul 6, 2023 EDT
生成式 AI 簡介
Earned Jul 6, 2023 EDT
Welcome to Qwiklabs Trivia for August! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands-on experience on GCP and partner services and earn the August badge.
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The world around us is changing and mastering future-driven technologies is the key to success. We want you to get started by learning a little of everything! Discover machine learning in data analysis, build scalable cloud solutions and accelerate software development that will shape the future. The possibilities in the Arcade are endless and all of those will lead you towards earning your first Google Cloud Credential. No prior experience required.
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For organisations to thrive in the digital world, it is important for them to have secured networks to protect sensitive data, prevent cyber threats and maintain customer trust. Learn the principles of network design, security and management and integrating BigQuery Data and Google Workspace using Apps Script. Gain hands-on experience with labs carefully designed to nurture and assess your tech skills and set you on a course to earn your first Google Cloud credential.
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Recently, a McKinsey report found that Generative AI could add up to $4.4 trillion a year to the global economy, signaling an imminent surge in the demand for GenAI professionals. Now is the perfect time to get a head start and gain hands-on experience with Google Cloud's powerful GenAI tools and techniques, carefully designed to enhance your tech skills and set you on a promising course. Play now to be at the forefront of innovation, shaping the future with GenAI and earning your first Google Cloud GenAI game badge!
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Welcome to Qwiklabs Trivia for July! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands-on experience on GCP and partner services and earn the July badge.
The demand for data skills is growing rapidly, and we want you to get ahead! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. There are a lot of different aspects to any data role, so it's important to start with the basics - and we’ve got you covered. Learn how to tap into ML APIs, dive into your first data lake, and learn how the experts think about securing data. No experience required.
完成「開始使用 Sensitive Data Protection」 技能徽章入門課程，證明您具備下列技能：使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。
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完成使用 Cloud Vision API 分析圖片課程，即可獲得技能徽章。本課程說明如何運用 Cloud Vision API 執行各種工作，包括擷取圖片中的文字。
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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。
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完成「開始使用 API Gateway」課程，即可獲得技能徽章。 本課程將說明如何使用 API Gateway，透過全代管閘道部署、保護及管理 API。
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完成「設定 Google Cloud 網路」課程，即可獲得技能徽章。 您將瞭解如何在 Google Cloud Platform 執行基本的網路工作，包括建立自訂網路、新增子網路防火牆規則，還有建立 VM 並測試 VM 之間的通訊延遲。
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Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow by 22% over the next five years, much faster than the average for all occupations. Play now to get hands-on experience building with Google Cloud's powerful coding and infrastructure management tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers 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 this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.
完成透過 Google Cloud 建構網站技能徽章課程，即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎， 涵蓋以下主題：在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構
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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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。
Qwiklabs Trivia August 2023
Earned Aug 22, 2023 EDT
Level 1: BigQuery ML, Cloud Architecture and Devops Skills
Earned Aug 11, 2023 EDT
Level 2: Apps Script and Networks
Earned Aug 9, 2023 EDT
Level 3: GenAI
Earned Aug 6, 2023 EDT
Qwiklabs Trivia July 2023
Earned Jul 25, 2023 EDT
雲端架構：設計、實作與管理
Earned Jul 15, 2023 EDT
在 Cloud Storage 建立串流資料湖泊
Earned Jul 15, 2023 EDT
開始使用 Cloud Storage
Earned Jul 14, 2023 EDT
保護 BigLake 資料
Earned Jul 14, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 14, 2023 EDT
充實中繼資料及發掘 BigLake 資料
Earned Jul 14, 2023 EDT
開始使用 Sensitive Data Protection
Earned Jul 14, 2023 EDT
使用 Cloud Vision API 分析圖片
Earned Jul 14, 2023 EDT
在 Google Cloud 使用機器學習 API
Earned Jul 14, 2023 EDT
開始使用 API Gateway
Earned Jul 14, 2023 EDT
設定 Google Cloud 網路
Earned Jul 14, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 14, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned Jul 14, 2023 EDT
Getting Started with Go on Google Cloud
Earned Jul 13, 2023 EDT
Google Cloud Compute 基本操作
Earned Jul 13, 2023 EDT
App Engine：3 種應用
Earned Jul 13, 2023 EDT
使用 Firebase 開發無伺服器應用程式
Earned Jul 13, 2023 EDT
在 Looker 建構 LookML 物件
Earned Jul 13, 2023 EDT
為 Looker 資訊主頁和報表準備資料
Earned Jul 13, 2023 EDT
使用 AppSheet 建構應用程式
Earned Jul 13, 2023 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned Jul 13, 2023 EDT
開始使用 Eventarc
Earned Jul 13, 2023 EDT
開始使用 Dataplex
Earned Jul 12, 2023 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Jul 12, 2023 EDT
開始使用 Pub/Sub
Earned Jul 12, 2023 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jul 12, 2023 EDT
在 Google Cloud 設定應用程式開發環境
Earned Jul 12, 2023 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Jul 12, 2023 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jul 11, 2023 EDT
從 BigQuery 資料取得深入分析結果
Earned Jul 11, 2023 EDT
透過 Google Cloud 建構網站
Earned Jul 11, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Jul 10, 2023 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Jul 9, 2023 EDT
Vertex AI Studio 簡介
Earned Jul 6, 2023 EDT
建立圖像說明生成模型
Earned Jul 6, 2023 EDT
Transformer 和 BERT 模型
Earned Jul 6, 2023 EDT
注意力機制
Earned Jul 6, 2023 EDT
編碼器-解碼器架構
Earned Jul 6, 2023 EDT
圖像生成簡介
Earned Jul 6, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Jul 6, 2023 EDT
負責任的 AI 技術簡介
Earned Jul 6, 2023 EDT
大型語言模型簡介
Earned Jul 6, 2023 EDT
生成式 AI 簡介
Earned Jul 6, 2023 EDT