在 Google Cloud 部署 Kubernetes 應用程式
Earned Oct 19, 2020 EDT
設定 Google Cloud 網路
Earned Oct 18, 2020 EDT
建立 Google Cloud 網路
Earned Oct 18, 2020 EDT
建構安全的 Google Cloud 網路
Earned Oct 13, 2020 EDT
Intro to ML: Image Processing
Earned Oct 13, 2020 EDT
雲端架構：設計、實作與管理
Earned Oct 13, 2020 EDT
Website on Google Cloud
Earned Oct 12, 2020 EDT
Build Apps & Websites with Firebase
Earned Oct 12, 2020 EDT
Data Catalog Fundamentals
Earned Oct 11, 2020 EDT
在 Cloud Data Fusion 建構免程式碼管道
Earned Oct 10, 2020 EDT
DEPRECATED Applied Data: Blockchain
Earned Oct 3, 2020 EDT
Google Developer Essentials
Earned Sep 26, 2020 EDT
安全性與身分識別基礎知識
Earned Sep 26, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Apr 28, 2020 EDT
Google Kubernetes Engine Best Practices: Security
Earned Apr 4, 2020 EDT
Managing Cloud Infrastructure with Terraform
Earned Feb 15, 2020 EST
Google Cloud Run Serverless Workshop
Earned Feb 15, 2020 EST
Cloud Logging
Earned Feb 9, 2020 EST
Cloud Development
Earned Feb 3, 2020 EST
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Feb 2, 2020 EST
DEPRECATED Google Cloud's Operations Suite
Earned Feb 2, 2020 EST
DevOps 必備知識
Earned Feb 2, 2020 EST
Deprecated Kubernetes Solutions
Earned Jan 25, 2020 EST
DEPRECATED Network Performance and Optimization
Earned Nov 30, 2019 EST
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Nov 24, 2019 EST
Google Kubernetes Engine Best Practices
Earned Nov 23, 2019 EST
Anthos: Service Mesh
Earned Nov 21, 2019 EST
雲端工程
Earned Nov 5, 2019 EST
Google Cloud 中的 Kubernetes
Earned Nov 3, 2019 EST
Cloud Architecture - Design, Implement, and Manage
Earned Oct 12, 2019 EDT
DEPRECATED Cloud Architecture
Earned Oct 9, 2019 EDT
Scientific Data Processing
Earned Jun 23, 2019 EDT
Google Cloud 必備知識
Earned Jun 18, 2019 EDT
[DEPRECATED] Data Engineering
Earned Jun 1, 2019 EDT
DEPRECATED Application Development - Java
Earned May 19, 2019 EDT
Machine Learning APIs
Earned May 4, 2019 EDT
Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
了解详情
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
了解详情
This lab tests your ability to develop a real-world Generative AI Q&A solution using a RAG framework. You will use Firestore as a vector database and deploy a Flask app as a user interface to query a food safety knowledge base.
了解详情
In this skill bagde, you will demonstrate your ability to use and compare models available in the Vertex AI Model Garden. You'll deploy a model to a Vertex AI Endpoint, query other models via their API, and use Vertex AI's Gen AI evaluation service to measure the performance of multiple models.
了解详情
Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!"
了解详情
Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
了解详情
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.
了解详情
This video covers how to use NotebookLM for common marketing tasks like
analyzing customer feedback, conducting market research, and generating
content ideas.
了解详情
This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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!
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
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.
了解详情
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
了解详情
A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
了解详情
Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
了解详情
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。
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
API Gateway enables you to provide secure access to your backend services through a well-defined REST API that is consistent across all of your services, regardless of the service implementation. Clients consume your REST APIS to implement standalone apps for a mobile device or tablet, through apps running in a browser, or through any other type of app that can make a request to an HTTP endpoint.
了解详情
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.
了解详情
Welcome to the Learn To Earn Cloud Challenge data plus track! "The Google Cloud Certified Professional Data Engineer certification is associated with the highest paying salary in IT," according to the most recent Global Knowledge skills and salary report (published August 2021). Complete this game to earn the Data Plus game badge, and be eligible for a +bonus+ prize in the Learn to Earn Cloud Challenge. See "what's next" below for details and requirements; you’ll need to earn at least 2 additional challenge badges to qualify. You'll learn next-level data skills to add to your resume. Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
了解详情
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
了解详情
In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
了解详情
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
了解详情
Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
了解详情
Welcome to the Learn To Earn Cloud Challenge security track! These eight labs give you the keys to understanding GCP's powerful security suite. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Security game badge, and you'll be one step closer to collecting all four badges (see "what's next" below for more information).
Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
了解详情
Welcome to the Learn To Earn Cloud Challenge data track! These eight labs give you a deep dive into GCP's data universe. At the end of each lab, you'll have another in-demand skill to add to your list. Complete this game to earn the Data game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
了解详情
Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
了解详情
Welcome to the Learn To Earn Cloud Challenge architecture track! These eight labs give you a blueprint of GCP's building blocks. At the end of each lab, you'll have hands-on experience with another tool or service to add to your resume. Complete this game to earn the Architecture game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
了解详情
This 1-week, accelerate course builds upon previous courses in the Data Engineering on Google Cloud Platform specialization. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform. You will also learn how to access various cloud storage options from their compute clusters and integrate Google's machine learning capabilities into their analytics programs.
了解详情
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.
了解详情
In this quest, you will gain hands-on experience on several topics in Google Workspace Administration including security, provisioning users and groups, managing applications, and managing Google Meet.
了解详情
Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
了解详情
本課程最適合從事科技或金融職務， 且負責管理 Google Cloud 費用的人士修習。您將學習如何設定帳單帳戶、 整理資源及管理帳單存取權限。 在實作實驗室，您會瞭解如何查看帳單、從帳單報表追蹤 Google Cloud 費用、 使用 BigQuery 或 Google 試算表分析帳單資料， 以及使用 Looker Studio 建立自訂的帳單資訊主頁。如需影片提及的參考資源連結， 請參閱其他資源文件。
了解详情
完成 運用 Cloud Run 開發無伺服器應用程式 技能徽章中階課程， 即可證明您具備下列技能：整合 Cloud Run 和 Cloud Storage 以管理資料、 使用 Cloud Run 和 Pub/Sub 架構可復原的非同步系統、 使用 Cloud Run 建構 REST API 閘道，以及在 Cloud Run 建構及部署服務。
了解详情
完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。
了解详情
This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on Google Cloud. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
了解详情
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
了解详情
Earn a skill badge by completing the Secure Workloads in Google Kubernetes Engine quest, where you learn about security at scale on Google Kubernetes Engine (GKE) including how to: migrate containers from virtual machines to Google Kubernetes Engine, restrict network connections in GKE using firewalls and Network Policies, use role-based access controls (RBAC) in GKE, use Binary Authorization for security controls of your images, secure applications in GKE using 3 access levels: host, network, Kubernetes API, and harden GKE cluster configurations. 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 quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
完成「建構安全的 Google Cloud 網路」課程，即可獲得技能徽章。本課程將說明多項網路相關 資源，協助您在 Google Cloud 建構、調度資源和保護應用程式。
了解详情
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.
了解详情
Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
了解详情
Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
了解详情
本課程提供 Cloud Data Fusion 的實作練習。這是一款雲端原生、 無程式碼的資料整合平台。ETL 開發人員、資料工程師和分析師 可運用預先建立的轉換和連接器， 輕鬆建構及部署管道，不必擔心編寫程式碼。本課程會以快速入門實驗室拉開序幕， 讓學員熟悉 Cloud Data Fusion UI，接著嘗試執行批次和即時管道， 以及使用內建 Wrangler 外掛程式， 對資料執行有趣的轉換。
了解详情
Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.
了解详情
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
了解详情
Google Cloud 的服務在安全上絕不妥協， 因此開發了專用工具，確保所有專案安全無虞， 使用者也能妥善管理身分識別機制。在這堂入門課程中，您會實際使用 Google Cloud 的 Identity and Access Management (IAM) 服務， 練習管理使用者和虛擬機器帳戶。您將 佈建虛擬私有雲和 VPN 來熟悉網路安全功能，並瞭解有哪些工具 可防範資安威脅和資料遺失。
了解详情
Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
了解详情
Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.
了解详情
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.
了解详情
Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…
了解详情
Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.
了解详情
The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
了解详情
With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
了解详情
Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
了解详情
透過 DevOps 取得 競爭優勢。DevOps 作業涵蓋組織與文化層面，目標為加速推送軟體、 提高服務穩定性，並為所有軟體相關人員 建立共同擁有權。這堂課程說明如何使用 Google Cloud 提高軟體推送功能的速度、穩定性、可用性和安全性。 開發運作研究與評估計畫已新增至 Google Cloud。想知道自己的團隊表現如何嗎？完成 這個五道選擇題的測驗就能知道答案！
了解详情
Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
了解详情
If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.
了解详情
In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
了解详情
Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.
了解详情
This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
了解详情
本入門課程有別於其他課程。 透過這些實驗室，IT 專業人員將有機會實際練習， 熟悉出現在 Google Cloud 助理雲端工程師認證中的主題和服務。本課程包含多個專門的實驗室，從 IAM、網路建立 到 Kubernetes Engine 部署作業， 可全面驗收您的 Google Cloud 知識。請注意，雖然進行這些 實驗室可提升您的技能和能力，但仍建議同時詳閱 測驗指南和其他可用的準備資源。
了解详情
Kubernetes 是最受歡迎的容器自動化調度管理系統，Google Kubernetes Engine 則專門支援 Google Cloud 中的 代管 Kubernetes 部署項目。這門進階課程將帶您實際練習設定 Docker 映像檔和容器，並部署完整的 Kubernetes Engine 應用程式。 您會學到如何將容器自動化調度管理機制， 整合到自己的工作流程，這些技巧相當實用。 想透過實作挑戰實驗室展現 技能、驗收學習成果嗎？本課程結束後，再完成 在 Google Cloud 部署 Kubernetes 應用程式課程 結尾的挑戰實驗室，即可獲得專屬 Google Cloud 數位徽章。
了解详情
This quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using Google Cloud architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many Google Cloud technologies. All labs have activity tracking, and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your Google Cloud technology skills to the test! Be aware that while practice with these labs will increase your knowledge and abilities, additional study, experience, and background in cloud architecture is recommended to prepare for this certification. Complete this quest to receive an exclusive Google Cloud digital badge.
了解详情
This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
了解详情
Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
了解详情
在這堂入門課程，您將實際練習使用 Google Cloud 的基礎工具和服務。本課程包含可選擇觀賞的影片， 針對實驗室涵蓋的概念提供更多背景資訊，協助您複習。「Google Cloud 必備知識」 是適合 Google Cloud 學員的第一堂課， 即使您尚未學習或不熟悉雲端知識， 也能從這堂課獲得實務經驗，並應用於第一項 Google Cloud 專案。不管是撰寫 Cloud Shell 指令 和部署第一部虛擬機器，還是在 Kubernetes Engine 或透過負載平衡執行應用程式， 「Google Cloud 必備知識」都是認識平台基本功能的最佳入門資源。
了解详情
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
了解详情
In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Java. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Java applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Java applications straight away.
了解详情
It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Configure AI Applications to optimize search results
Earned Sep 16, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Sep 15, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Sep 15, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned Sep 13, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Sep 12, 2025 EDT
Edit images with Imagen
Earned Sep 11, 2025 EDT
AI Boost Bites: Project Notebooks
Earned Sep 3, 2025 EDT
AI Boost Bites: NotebookLM for Market Research
Earned Sep 3, 2025 EDT
AI Boost Bites: NotebookLM Video Overviews
Earned Sep 3, 2025 EDT
AI Boost Bites: Discover Sources in NotebookLM
Earned Sep 3, 2025 EDT
AI Boost Bites: NotebookLM Mind Maps
Earned Sep 3, 2025 EDT
AI Boost Bites: Intro to NotebookLM
Earned Sep 3, 2025 EDT
AI Boost Bites: Email Content Creation
Earned Sep 3, 2025 EDT
AI Boost Bites: Create Docs in Seconds
Earned Sep 3, 2025 EDT
AI Boost Bites: AI Power-Ups for Google Workspace
Earned Sep 3, 2025 EDT
AI Boost Bites: Tame Your Inbox with AI
Earned Sep 3, 2025 EDT
AI Boost Bites: Gemini Slide Summaries
Earned Sep 3, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts
Earned Sep 3, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned Sep 3, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems
Earned Sep 3, 2025 EDT
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned Sep 3, 2025 EDT
AI Boost Bites: "Eat the Frog" with NotebookLM
Earned Sep 3, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned Sep 3, 2025 EDT
AI Boost Bites: Poke Holes in Your Strategy
Earned Sep 3, 2025 EDT
AI Boost Bites: NotebookLM for Competitive Edge
Earned Sep 3, 2025 EDT
AI Boost Bites: Personalization with customized prompts
Earned Sep 3, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Sep 3, 2025 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Sep 3, 2025 EDT
AI Boost Bites: Content Generation with Gemini Made Easy
Earned Sep 3, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM
Earned Sep 3, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Sep 3, 2025 EDT
使用 Gemini：DevOps 工程師
Earned Sep 2, 2025 EDT
Vertex AI Studio 簡介
Earned Sep 8, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Sep 8, 2024 EDT
Generative AI Fundamentals
Earned Sep 8, 2024 EDT
Generative AI for Business Leaders
Earned Sep 8, 2024 EDT
Text Prompt Engineering Techniques
Earned May 22, 2024 EDT
在 Vertex AI 設計提示
Earned May 4, 2024 EDT
注意力機制
Earned Jul 4, 2023 EDT
編碼器-解碼器架構
Earned Jul 4, 2023 EDT
圖像生成簡介
Earned Jul 1, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Jun 27, 2023 EDT
負責任的 AI 技術簡介
Earned Jun 11, 2023 EDT
大型語言模型簡介
Earned Jun 10, 2023 EDT
生成式 AI 簡介
Earned May 19, 2023 EDT
讓您的 Google Cloud 支出發揮最大效益
Earned Mar 1, 2022 EST
[DEPRECATED] Secure and Rate Limit API calls with API Gateway
Earned Feb 27, 2022 EST
Build Streaming Data Pipelines on Google Cloud
Earned Oct 3, 2021 EDT
Learn to Earn Cloud Challenge: Data+
Earned Oct 2, 2021 EDT
Build Batch Data Pipelines on Google Cloud
Earned Sep 26, 2021 EDT
Applying Machine Learning to your Data with Google Cloud
Earned Sep 21, 2021 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Sep 18, 2021 EDT
使用 BigQuery 進行機器學習
Earned Sep 18, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Sep 18, 2021 EDT
Cloud Hero IAM & Security Skills
Earned Sep 15, 2021 EDT
Learn to Earn Cloud Challenge: Security
Earned Sep 12, 2021 EDT
Learn to Earn Cloud Challenge: Data
Earned Sep 12, 2021 EDT
Learn to Earn Cloud Challenge: Essentials
Earned Sep 12, 2021 EDT
Learn to Earn Cloud Challenge: Architecture
Earned Sep 12, 2021 EDT
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
Earned Sep 11, 2021 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 11, 2021 EDT
Google Workspace for IT Administrators
Earned Sep 11, 2021 EDT
Cloud Hero Data Skills
Earned Sep 3, 2021 EDT
瞭解 Google Cloud 費用
Earned Sep 1, 2021 EDT
運用 Cloud Run 開發無伺服器應用程式
Earned Jul 17, 2021 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jul 11, 2021 EDT
DEPRECATED Anthos Service Mesh
Earned Jul 11, 2021 EDT
透過 Google Cloud 建構網站
Earned Jul 10, 2021 EDT
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Jul 9, 2021 EDT
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Jul 9, 2021 EDT
在 Google Cloud 設定應用程式開發環境
Earned Jul 5, 2021 EDT
基本概念：基礎架構
Earned Jul 5, 2021 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Oct 20, 2020 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Oct 19, 2020 EDT
設定 Google Cloud 網路
Earned Oct 18, 2020 EDT
建立 Google Cloud 網路
Earned Oct 18, 2020 EDT
建構安全的 Google Cloud 網路
Earned Oct 13, 2020 EDT
Intro to ML: Image Processing
Earned Oct 13, 2020 EDT
雲端架構：設計、實作與管理
Earned Oct 13, 2020 EDT
Website on Google Cloud
Earned Oct 12, 2020 EDT
Build Apps & Websites with Firebase
Earned Oct 12, 2020 EDT
Data Catalog Fundamentals
Earned Oct 11, 2020 EDT
在 Cloud Data Fusion 建構免程式碼管道
Earned Oct 10, 2020 EDT
DEPRECATED Applied Data: Blockchain
Earned Oct 3, 2020 EDT
Google Developer Essentials
Earned Sep 26, 2020 EDT
安全性與身分識別基礎知識
Earned Sep 26, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Apr 28, 2020 EDT
Google Kubernetes Engine Best Practices: Security
Earned Apr 4, 2020 EDT
Managing Cloud Infrastructure with Terraform
Earned Feb 15, 2020 EST
Google Cloud Run Serverless Workshop
Earned Feb 15, 2020 EST
Cloud Logging
Earned Feb 9, 2020 EST
Cloud Development
Earned Feb 3, 2020 EST
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Feb 2, 2020 EST
DEPRECATED Google Cloud's Operations Suite
Earned Feb 2, 2020 EST
DevOps 必備知識
Earned Feb 2, 2020 EST
Deprecated Kubernetes Solutions
Earned Jan 25, 2020 EST
DEPRECATED Network Performance and Optimization
Earned Nov 30, 2019 EST
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Nov 24, 2019 EST
Google Kubernetes Engine Best Practices
Earned Nov 23, 2019 EST
Anthos: Service Mesh
Earned Nov 21, 2019 EST
雲端工程
Earned Nov 5, 2019 EST
Google Cloud 中的 Kubernetes
Earned Nov 3, 2019 EST
Cloud Architecture - Design, Implement, and Manage
Earned Oct 12, 2019 EDT
DEPRECATED Cloud Architecture
Earned Oct 9, 2019 EDT
Scientific Data Processing
Earned Jun 23, 2019 EDT
Google Cloud 必備知識
Earned Jun 18, 2019 EDT
[DEPRECATED] Data Engineering
Earned Jun 1, 2019 EDT
DEPRECATED Application Development - Java
Earned May 19, 2019 EDT
Machine Learning APIs
Earned May 4, 2019 EDT