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望儒 林

成为会员时间：2023

青铜联赛

62490 积分
Conversational AI on Vertex AI and Dialogflow CX徽章 Conversational AI on Vertex AI and Dialogflow CX Earned May 7, 2024 EDT
Gemini in Google Meet - 繁體中文徽章 Gemini in Google Meet - 繁體中文 Earned Mar 2, 2024 EST
Gemini in Google Slides - 繁體中文徽章 Gemini in Google Slides - 繁體中文 Earned Mar 2, 2024 EST
Use Machine Learning APIs on Google Cloud徽章 Use Machine Learning APIs on Google Cloud Earned Mar 2, 2024 EST
Network Performance and Optimization徽章 Network Performance and Optimization Earned Mar 2, 2024 EST
Exploring APIs徽章 Exploring APIs Earned Feb 28, 2024 EST
Security & Identity Fundamentals徽章 Security & Identity Fundamentals Earned Feb 27, 2024 EST
Baseline: Deploy & Develop徽章 Baseline: Deploy & Develop Earned Feb 22, 2024 EST
Google Cloud Fundamentals for AWS Professionals徽章 Google Cloud Fundamentals for AWS Professionals Earned Feb 20, 2024 EST
Google Cloud Fundamentals: Core Infrastructure - 繁體中文徽章 Google Cloud Fundamentals: Core Infrastructure - 繁體中文 Earned Feb 20, 2024 EST
Data Lake Modernization on Google Cloud: Migrate Workflows徽章 Data Lake Modernization on Google Cloud: Migrate Workflows Earned Jan 1, 2024 EST
Intro to ML: Image Processing徽章 Intro to ML: Image Processing Earned Jan 1, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals徽章 Google Cloud Big Data and Machine Learning Fundamentals Earned Jan 1, 2024 EST
Introduction to AI and Machine Learning on Google Cloud - 繁體中文徽章 Introduction to AI and Machine Learning on Google Cloud - 繁體中文 Earned Jan 1, 2024 EST
Language, Speech, Text, & Translation with Google Cloud APIs徽章 Language, Speech, Text, & Translation with Google Cloud APIs Earned Jan 1, 2024 EST
Intro to ML: Language Processing徽章 Intro to ML: Language Processing Earned Dec 31, 2023 EST
Build a Website on Google Cloud徽章 Build a Website on Google Cloud Earned Dec 30, 2023 EST
Prepare Data for ML APIs on Google Cloud徽章 Prepare Data for ML APIs on Google Cloud Earned Dec 30, 2023 EST
Gemini for DevOps Engineers徽章 Gemini for DevOps Engineers Earned Dec 29, 2023 EST
Gemini for end-to-end SDLC徽章 Gemini for end-to-end SDLC Earned Dec 29, 2023 EST
Networking Fundamentals in Google Cloud 徽章 Networking Fundamentals in Google Cloud Earned Dec 29, 2023 EST
Gemini for Data Scientists and Analysts徽章 Gemini for Data Scientists and Analysts Earned Dec 28, 2023 EST
Gemini for Network Engineers徽章 Gemini for Network Engineers Earned Dec 28, 2023 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud徽章 Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned Dec 28, 2023 EST
Baseline: Data, ML, AI徽章 Baseline: Data, ML, AI Earned Dec 28, 2023 EST
Advanced ML: ML Infrastructure徽章 Advanced ML: ML Infrastructure Earned Dec 27, 2023 EST
Gemini for Security Engineers徽章 Gemini for Security Engineers Earned Dec 26, 2023 EST
Gemini for Cloud Architects徽章 Gemini for Cloud Architects Earned Dec 26, 2023 EST
Gemini for Application Developers徽章 Gemini for Application Developers Earned Dec 26, 2023 EST
Create Image Captioning Models - 繁體中文徽章 Create Image Captioning Models - 繁體中文 Earned Dec 25, 2023 EST
Transformer Models and BERT Model - 繁體中文徽章 Transformer Models and BERT Model - 繁體中文 Earned Dec 25, 2023 EST
Encoder-Decoder Architecture - 繁體中文徽章 Encoder-Decoder Architecture - 繁體中文 Earned Dec 25, 2023 EST
Attention Mechanism - 繁體中文徽章 Attention Mechanism - 繁體中文 Earned Dec 25, 2023 EST
Introduction to Image Generation - 繁體中文徽章 Introduction to Image Generation - 繁體中文 Earned Dec 25, 2023 EST
Generative AI Explorer - Vertex AI徽章 Generative AI Explorer - Vertex AI Earned Dec 25, 2023 EST
Website on Google Cloud徽章 Website on Google Cloud Earned Dec 22, 2023 EST
Introduction to Generative AI Studio - 繁體中文徽章 Introduction to Generative AI Studio - 繁體中文 Earned Dec 21, 2023 EST
Build a Secure Google Cloud Network徽章 Build a Secure Google Cloud Network Earned Dec 20, 2023 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud徽章 Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned Dec 20, 2023 EST
Set Up an App Dev Environment on Google Cloud徽章 Set Up an App Dev Environment on Google Cloud Earned Dec 19, 2023 EST
Develop your Google Cloud Network徽章 Develop your Google Cloud Network Earned Dec 19, 2023 EST
Kubernetes in Google Cloud徽章 Kubernetes in Google Cloud Earned Dec 18, 2023 EST
Cloud Engineering徽章 Cloud Engineering Earned Dec 18, 2023 EST
Baseline: Infrastructure徽章 Baseline: Infrastructure Earned Dec 17, 2023 EST
Gemini in Google Sheets - 繁體中文徽章 Gemini in Google Sheets - 繁體中文 Earned Dec 16, 2023 EST
Gemini in Google Docs - 繁體中文徽章 Gemini in Google Docs - 繁體中文 Earned Dec 16, 2023 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud徽章 Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned Dec 14, 2023 EST
Responsible AI: Applying AI Principles with Google Cloud - 繁體中文徽章 Responsible AI: Applying AI Principles with Google Cloud - 繁體中文 Earned Dec 11, 2023 EST
Gemini in Gmail - 繁體中文徽章 Gemini in Gmail - 繁體中文 Earned Dec 11, 2023 EST
Introduction to Gemini for Google Workspace - 繁體中文徽章 Introduction to Gemini for Google Workspace - 繁體中文 Earned Dec 11, 2023 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals徽章 Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned Dec 10, 2023 EST
Level 3: GenAIus Chatbots徽章 Level 3: GenAIus Chatbots Earned Dec 10, 2023 EST
Generative AI Fundamentals - 繁體中文徽章 Generative AI Fundamentals - 繁體中文 Earned Dec 9, 2023 EST
Introduction to Responsible AI - 繁體中文徽章 Introduction to Responsible AI - 繁體中文 Earned Dec 9, 2023 EST
Introduction to Large Language Models - 繁體中文徽章 Introduction to Large Language Models - 繁體中文 Earned Dec 9, 2023 EST
Introduction to Generative AI - 繁體中文徽章 Introduction to Generative AI - 繁體中文 Earned Dec 9, 2023 EST
Implement Load Balancing on Compute Engine徽章 Implement Load Balancing on Compute Engine Earned Dec 7, 2023 EST
Deploy Kubernetes Applications on Google Cloud徽章 Deploy Kubernetes Applications on Google Cloud Earned Dec 6, 2023 EST
Google Cloud Essentials徽章 Google Cloud Essentials Earned Dec 4, 2023 EST

In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.

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Gemini 版 Google Workspace 是一項外掛程式，可讓使用者存取生成式 AI 功能。本課程會使用影片、實作活動和練習範例，深入介紹 Gemini 版 Google Meet 的功能。您會學到如何透過 Gemini 生成背景圖片、提升視訊品質及翻譯字幕。本課程結束後，您將具備 Gemini 版 Google Meet 的知識及技能，安心運用這項工具提高視訊會議的效率。

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Gemini 版 Google Workspace 是一項外掛程式，可讓客戶在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Google 簡報善用這些功能，提高生產力和效率。

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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. 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 course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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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.

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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.

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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections. 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.

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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.

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Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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Google Cloud 基礎知識：「核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作研究室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。

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Welcome to Migrate Workflows, where we discuss how to migrate Spark and Hadoop tasks and workflows to Google Cloud.

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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.

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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.

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本課程介紹 Google Cloud 中的人工智慧 (AI) 和機器學習 (ML) 服務。這些服務透過 AI 基礎、開發和解決方案，支援「從資料到 AI」的生命週期。本課程討論的技術、產品和工具，可根據數據資料學家、AI 開發人員和機器學習工程師等不同使用者的目標，用於建構機器學習模型、機器學習管道和生成式 AI 專案。

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In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.

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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of 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 language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.

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Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate from a monolithic application to a microservices architecture using Cloud Build. 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 skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API. 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 course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC). Duet AI was renamed to Gemini, our next-generation model.

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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 quest 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, Networking Fundamentals in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks. Duet AI was renamed to Gemini, our next-generation model.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.

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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.

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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow. Duet AI was renamed to Gemini, our next-generation model.

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本課程說明如何使用深度學習來建立圖像說明生成模型。您將學習圖像說明生成模型的各個不同組成部分，例如編碼器和解碼器，以及如何訓練和評估模型。在本課程結束時，您將能建立自己的圖像說明生成模型，並使用模型產生圖像說明文字。

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這堂課程將說明變換器架構，以及基於變換器的雙向編碼器表示技術 (BERT) 模型，同時帶您瞭解變換器架構的主要組成 (如自我注意力機制) 和如何用架構建立 BERT 模型。此外，也會介紹 BERT 適用的各種任務，像是文字分類、問題回答和自然語言推論。課程預計約 45 分鐘。

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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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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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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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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.

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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.

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本課程將介紹 Vertex AI 上的 Generative AI Studio，說明如何用此產品設計生成式 AI 模型的原型及自訂生成式 AI 模型，以利您在應用程式中使用模型的功能。課程中，您可以透過 Generative AI Studio 示範教學逐步認識 Generative AI Studio，並瞭解產品功能、選項與使用方式。課程最後，您可以在實作研究室應用所學，並進行測驗來評估學習成果。

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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications 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 the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This third course covers cloud automation and management tools and building secure networks.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. 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 skill badge that you can share with your network.

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Earn a skill badge by completing the Develop your Google Cloud Network course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM rols and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches. A skill badge is an exclusivedigital 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 skill badge that you can share with your network.

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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. 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 the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.

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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 Associate Cloud Engineer 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.

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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.

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安裝 Gemini 版 Google Workspace 外掛程式後，客戶就能在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Google 試算表善用這些功能，提高生產力和效率。

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使用者將能透過 Gemini 版 Google Workspace 外掛程式運用生成式 AI 功能。本課程會使用影片、實作活動和練習範例，深入介紹 Gemini 版 Google 文件的功能。您將學到如何透過 Gemini 使用提示生成撰寫內容、編輯寫好的文字，以提升整體工作效率。本課程結束後，您將具備 Gemini 版 Google 文件的知識及技能，可自信地運用這項工具提升寫作品質。

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

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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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Gemini 版 Google Workspace 是一項外掛程式，可讓客戶在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Gmail 善用這些功能，提高生產力和效率。

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客戶能透過 Gemini 版 Google Workspace 外掛程式在 Google Workspace 使用生成式 AI 功能。本學習路徑會介紹 Gemini 的主要功能，並說明如何在 Google Workspace 善用這些功能，提高生產力和效率。

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.

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With each passing day, Generative AI becomes more integral, offering fresh perspectives and transformative possibilities. We invite you to join us and see for yourself how Gen AI shapes tomorrow and be a part of it by gaining hands-on experience with Google Cloud’s powerful Gen AI tools and techniques and earn your first Google Cloud Gen AI credential!

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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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這堂入門微學習課程說明大型語言模型 (LLM) 的定義與用途，以及如何調整提示來提高 LLM 成效。這堂課程也會介紹多項 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。

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完成 Implement Load Balancing on Compute Engine 技能徽章入門課程，即可證明您具備下列技能： 編寫 gcloud 指令和使用 Cloud Shell、在 Compute Engine 建立及部署虛擬機器， 以及設定網路和 HTTP 負載平衡器。 「技能徽章」是 Google Cloud 核發的 獨家數位徽章，用於肯定您在 Google Cloud 產品與服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關 知識。完成這個課程及挑戰研究室 最終評量，即可取得技能徽章並與親友分享。

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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge to demonstrate skills in the following: configuring and building Docker container images, creating and managing Google Kubernetes Engine (GKE) clusters, utilizing kubectl for efficient cluster management, and deploying Kubernetes applications with robust continuous delivery (CD) practices. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner - you will come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features. 1-minute videos walk you through key concepts for each lab.

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