Skills Boost Arcade Trivia March 2025 Week 4
Earned Mar 29, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Feb 7, 2025 EST
Orchestrate LLM solutions with LangChain
Earned Dec 31, 2024 EST
在 Vertex AI 使用 Gemini API 探索生成式 AI
Earned Dec 18, 2024 EST
Google Cloud Compute 基本操作
Earned Dec 10, 2024 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Dec 10, 2024 EST
Tag and Discover BigLake Data
Earned Dec 10, 2024 EST
Get Started with Cloud Storage
Earned Dec 10, 2024 EST
Cloud Run Functions: 3 Ways
Earned Dec 10, 2024 EST
App Engine: 3 Ways
Earned Dec 10, 2024 EST
開始使用 API Gateway
Earned Dec 10, 2024 EST
Streaming Analytics into BigQuery
Earned Dec 10, 2024 EST
Get Started with Eventarc
Earned Dec 9, 2024 EST
Get Started with Looker
Earned Dec 7, 2024 EST
開始使用 Pub/Sub
Earned Dec 7, 2024 EST
Monitoring in Google Cloud
Earned Dec 6, 2024 EST
Monitor and Manage Google Cloud Resources
Earned Dec 5, 2024 EST
Integrate BigQuery Data and Google Workspace using Apps Script
Earned Dec 5, 2024 EST
Conversation Design Fundamentals
Earned Nov 23, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned Nov 23, 2024 EST
Advanced Conversation Design
Earned Nov 23, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Nov 22, 2024 EST
Advanced Performance Measurement
Earned Nov 22, 2024 EST
Basic Performance Measurement
Earned Nov 22, 2024 EST
Advanced Webhook Concepts
Earned Nov 21, 2024 EST
Webhook fundamentals
Earned Nov 21, 2024 EST
Google Cloud 基礎知識：核心基礎架構
Earned Nov 8, 2024 EST
Create and Manage Cloud Spanner Instances
Earned Nov 8, 2024 EST
使用 Dataplex 建構資料網格
Earned Nov 6, 2024 EST
透過 BigQuery 建構資料倉儲
Earned Nov 6, 2024 EST
Serverless Data Processing with Dataflow: Foundations
Earned Nov 6, 2024 EST
使用 Gemini：應用程式開發人員
Earned Nov 6, 2024 EST
Secure BigLake Data
Earned Nov 6, 2024 EST
Generative AI for Business Leaders
Earned Nov 4, 2024 EST
Migrate MySQL data to Cloud SQL using Database Migration Service
Earned Nov 1, 2024 EDT
Migrate MySQL to Cloud Spanner
Earned Oct 30, 2024 EDT
Migrate PostgreSQL to Cloud SQL
Earned Oct 30, 2024 EDT
Create and Manage AlloyDB Instances
Earned Oct 28, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Oct 26, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Oct 18, 2024 EDT
Create and Manage Bigtable Instances
Earned Oct 17, 2024 EDT
Share Data Using Google Data Cloud
Earned Oct 16, 2024 EDT
Text Prompt Engineering Techniques
Earned Aug 18, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Aug 17, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Aug 17, 2023 EDT
建立圖像說明生成模型
Earned Aug 12, 2023 EDT
Transformer 和 BERT 模型
Earned Aug 11, 2023 EDT
編碼器-解碼器架構
Earned Aug 11, 2023 EDT
注意力機制
Earned Aug 11, 2023 EDT
圖像生成簡介
Earned Aug 11, 2023 EDT
Vertex AI Studio 簡介
Earned Aug 11, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Aug 11, 2023 EDT
Generative AI Fundamentals
Earned Aug 10, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 10, 2023 EDT
大型語言模型簡介
Earned Aug 10, 2023 EDT
生成式 AI 簡介
Earned Aug 10, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned May 12, 2023 EDT
Preparing for your Professional Data Engineer Journey
Earned Sep 27, 2022 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Sep 19, 2022 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Sep 14, 2022 EDT
在 Compute Engine 實作負載平衡功能
Earned Sep 12, 2022 EDT
Serverless Data Processing with Dataflow: Operations
Earned Sep 5, 2022 EDT
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Aug 30, 2022 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Aug 23, 2022 EDT
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Aug 22, 2022 EDT
Building Batch Data Pipelines on Google Cloud
Earned Aug 16, 2022 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Aug 5, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 30, 2022 EDT
Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of agents.
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!
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Complete the Develop solutions using Model Garden APIs skill badge to demonstrate your ability to use Vertex AI Model Garden features when building gen AI solutions. You will use partner APIs such as Anthropic Claude ands Meta Llama, deploy and programatically access foundation models like Gemma and Stable Diffusion XL and access Vertex AI Endpoints.
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!
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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!
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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.
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Model Garden is a model library that helps you discover, test, and deploy models from Google and Google partners. Learn how to explore the available models and select the right ones for your use case. And how to deploy and interact with Model Garden models through the Google Cloud console and APIs.
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Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.
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Learn how to create Hybrid Search applications using Vertex AI Vertex Search to combine semantic searching with keyword search to return results based on both semantic meaning and keyword matching.
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Learn how to build your own Retrieval-Augmented Generation (RAG) solutions for greater control and flexibility than out-of-the-box implementations. Create a custom RAG solution using Vertex AI APIs, vector stores, and the LangChain framework.
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Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.
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本課程針對評估生成式和預測式 AI 模型，向機器學習從業人員介紹相關的基礎工具、技術和最佳做法。模型評估是機器學習的重要領域，確保這類系統能在正式環境中提供可靠、準確且成效優異的結果。
學員將深入瞭解多種評估指標與方法，以及適用於不同模型類型和工作的應用方式。此外，也會特別介紹生成式 AI 模型帶來的獨特難題，並提供有效的應對策略。透過 Google Cloud Vertex AI 平台，學員將瞭解在模型挑選、最佳化和持續監控方面，該如何導入穩健的評估程序。
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Generate engaging media with Google's foundation models for media. Create new images with Imagen, or edit your existing photos by adding details or outpainting to create a wider view. Replace backgrounds to put your products in new scenes. And learn the basics of generating videos with Veo!
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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!"
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An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also be referred to as tool use. Additionally, you can give a model the ability to search Google or search a data store of documents to ground its responses. In other words, to base its answers on that information. In this course, you’ll explore these concepts.
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這堂課程會說明 BigQuery 中的檢索增強生成 (RAG) 解決方案，協助您減少 AI 幻覺。當中介紹的 RAG 工作流程包含建立嵌入項目、搜尋向量空間，以及生成更符合需求的答案。另外，這堂課程會解釋這些步驟背後的概念與原因，以及實際運用 BigQuery 實作的方法。完成課程之後，學員將學會使用 BigQuery，以及 Gemini 和嵌入模型等生成式 AI 模型，建立 RAG pipeline 來處理自己的 AI 幻覺應用實例。
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Master Google Cloud from your terminal! In this course you will rapidly learn essential gcloud command-line skills through short hands-on labs. Gain practical experience managing Compute Engine, Kubernetes Engine, networking, and BigQuery with gcloud; plus, efficient Cloud Storage management with gsutil. You'll finish the entire course in 75 minutes!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for June Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for June Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for June Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 1 badge!
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Thinking about certifications or just want to see how far you've come? This challenge is your chance to sharpen your skills with help from Generative AI. Start by reflecting on where you stand in the digital space, then jump into Gen AI-powered reviews tailored to key Google Cloud certifications like Generative AI Digital, Data Practitioner, Cloud Developer, and DevOps Engineer. Wrap things up with fun, fast quizzes to test what you’ve learned and spot areas to improve. Its a smarter, more focused way to prep—and a great way to keep your journey in the cloud going strong!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the May Trivia Week 4 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the May Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the May Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the May Trivia Week 1 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 4 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 1 badge!
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Welcome to the Arcade Quiz, where every question is a chance to learn, explore, and challenge yourself. Explore a variety of intriguing topics, put your cloud knowledge to the test, and complete all the challenges to earn an exclusive Google Cloud Credential!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for March Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 4 badge!
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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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Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.
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完成「在 Vertex AI 使用 Gemini API 探索生成式 AI」技能徽章中階課程，即可證明自己具備下列技能： 可運用 Gemini API 生成文字、分析圖片和影片來強化內容創作能力，還能使用函式呼叫技巧。 本課程將帶您瞭解如何善用進階的 Gemini 技術、使用多模態內容生成功能，並提升 AI 專案的潛力。 通過實作實驗室和挑戰評量，就能獲得技能徽章，證明自己擁有特定產品的 實作知識。完成課程或直接進行挑戰實驗室， 即可取得徽章。徽章可證明您的專業能力、 提升專業形象，開創更多職涯發展機會。 已獲得的徽章會顯示在您的個人資料 中。
Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you will use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Earn a skill badge by completing the Tag and Discover BigLake Data quest, where you use BigQuery, BigLake, and Data Catalog within Dataplex to create, tag, and discover BigLake tables. 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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Earn a skill badge by completing the Get Started with Cloud Storage quest, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket. 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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Earn a skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services. It tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, including the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the App Engine: 3 ways quest, where you learn how to use App Engine with Python, Go, and PHP. 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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完成「開始使用 API Gateway」任務，即可獲得技能徽章。 瞭解如何使用 API Gateway，透過全代管閘道部署、保護及管理 API 。 技能徽章是 Google Cloud 核發的 獨家數位徽章，用於肯定您對於 Google Cloud 產品與服務的精通程度。 獲得技能徽章代表您已通過測驗，能在互動式實作環境 應用相關知識。完成這個技能徽章課程和結業評量挑戰實驗室之後， 即可取得數位徽章並與他人分享。
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Earn a skill badge by completing the Streaming Analytics into BigQuery quest, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics. 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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Earn a skill badge by completing the Get Started with Eventarc quest, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets. 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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Earn a skill badge by completing the Get Started with Looker quest, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker. 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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完成「開始使用 Pub/Sub」任務，即可獲得 技能徽章。 您將瞭解如何透過 Cloud 控制台使用 Pub/Sub，以及如何使用 Cloud Scheduler 工作節省心力，而 Pub/Sub Lite 則能為大量事件擷取作業。節省費用。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和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。完成這個技能徽章課程和結業評量挑戰實驗室之後， 即可取得技能徽章並與他人分享。
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Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.
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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.
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Earn a skill badge by completing the Integrate BigQuery Data and Google Workspace using Apps Script quest, where you learn ways to connect Workspace products with BigQuery by using App Sheet. 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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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.
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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.
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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX
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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it
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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.
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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.
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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實驗室，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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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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完成「使用 Dataplex 建構資料網格」技能徽章入門課程，即可證明您具備下列技能：使用 Dataplex 建構資料網格， 以利在 Google Cloud 維護資料安全性，並協助治理和探索資料。您將練習並測試自己的技能，包括在 Dataplex 為資產加上標記、指派 IAM 角色，以及評估資料品質。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精熟技能， 代表您已通過測驗，能在互動式實作環境應用相關知識。完成這個技能 徽章課程和結業評量挑戰實驗室，即可取得數位徽章 並與他人分享。
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助開發人員透過 Google Cloud 建構應用程式。您將瞭解如何透過提示讓 Gemini 為您解釋程式碼內容、推薦 Google Cloud 服務，以及生成應用程式的程式碼。在實作研究室中，您也會體驗到 Gemini 如何改良應用程式的開發工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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Earn a skill badge by completing the Secure BigLake Data quest, where you use IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables. 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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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.
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Complete the introductory Migrate MySQL data to Cloud SQL using Database Migration Services skill badge to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs. 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.
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This skill badge aims to provide partners a comprehensive understanding of migrating MySQL databases to Cloud Spanner, and gain hands-on experience through labs.
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This skill badge aims to provide partners a comprehensive understanding of migrating PostgreSQL databases to Cloud SQL for PostgreSQL using the Database Migration Service, and gain hands-on experience through labs.
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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
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Earn a skill badge by completing the Share Data Using Google Data Cloud course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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This content is deprecated. Please see the latest version of the course, here.
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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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。
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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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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.
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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。
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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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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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。技能 徽章是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精熟技能， 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 這個課程及結業評量挑戰實驗室，即可取得數位徽章 並與他人分享。
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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。 「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。完成本技能徽章課程及結業評量挑戰研究室， 即可取得技能徽章並與他人分享。
In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
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In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.
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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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Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
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Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
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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.
Evaluate Gen AI model and agent performance
Earned Aug 2, 2025 EDT
Build Gen AI solutions using Model Garden models and APIs
Earned Aug 2, 2025 EDT
Edit images with Imagen
Earned Aug 2, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Jul 28, 2025 EDT
Find, Explore and Deploy Model Garden Models
Earned Jul 26, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned Jul 26, 2025 EDT
Implement Hybrid Search
Earned Jul 26, 2025 EDT
Implement RAG with Vertex AI
Earned Jul 26, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Jul 26, 2025 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估
Earned Jul 26, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned Jul 25, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Jul 25, 2025 EDT
Empower Gen AI apps with tool use
Earned Jul 25, 2025 EDT
運用 BigQuery 建立嵌入項目、向量搜尋和 RAG
Earned Jul 18, 2025 EDT
Essential Google Cloud CLI Tools
Earned Jul 2, 2025 EDT
Skills Boost Arcade Trivia June 2025 Week 3
Earned Jun 21, 2025 EDT
Skills Boost Arcade Trivia June 2025 Week 2
Earned Jun 21, 2025 EDT
Skills Boost Arcade Trivia June 2025 Week 1
Earned Jun 21, 2025 EDT
Level 3: AI Readiness
Earned Jun 9, 2025 EDT
Skills Boost Arcade Trivia May 2025 Week 4
Earned May 26, 2025 EDT
Skills Boost Arcade Trivia May 2025 Week 3
Earned May 26, 2025 EDT
Skills Boost Arcade Trivia May 2025 Week 2
Earned May 26, 2025 EDT
Skills Boost Arcade Trivia May 2025 Week 1
Earned May 7, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 3
Earned Apr 26, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 4
Earned Apr 26, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 2
Earned Apr 8, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 1
Earned Apr 2, 2025 EDT
Level 3: The Arcade Quiz
Earned Apr 2, 2025 EDT
Skills Boost Arcade Trivia March 2025 Week 4
Earned Mar 29, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Feb 7, 2025 EST
Orchestrate LLM solutions with LangChain
Earned Dec 31, 2024 EST
在 Vertex AI 使用 Gemini API 探索生成式 AI
Earned Dec 18, 2024 EST
Google Cloud Compute 基本操作
Earned Dec 10, 2024 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Dec 10, 2024 EST
Tag and Discover BigLake Data
Earned Dec 10, 2024 EST
Get Started with Cloud Storage
Earned Dec 10, 2024 EST
Cloud Run Functions: 3 Ways
Earned Dec 10, 2024 EST
App Engine: 3 Ways
Earned Dec 10, 2024 EST
開始使用 API Gateway
Earned Dec 10, 2024 EST
Streaming Analytics into BigQuery
Earned Dec 10, 2024 EST
Get Started with Eventarc
Earned Dec 9, 2024 EST
Get Started with Looker
Earned Dec 7, 2024 EST
開始使用 Pub/Sub
Earned Dec 7, 2024 EST
Monitoring in Google Cloud
Earned Dec 6, 2024 EST
Monitor and Manage Google Cloud Resources
Earned Dec 5, 2024 EST
Integrate BigQuery Data and Google Workspace using Apps Script
Earned Dec 5, 2024 EST
Conversation Design Fundamentals
Earned Nov 23, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned Nov 23, 2024 EST
Advanced Conversation Design
Earned Nov 23, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Nov 22, 2024 EST
Advanced Performance Measurement
Earned Nov 22, 2024 EST
Basic Performance Measurement
Earned Nov 22, 2024 EST
Advanced Webhook Concepts
Earned Nov 21, 2024 EST
Webhook fundamentals
Earned Nov 21, 2024 EST
Google Cloud 基礎知識：核心基礎架構
Earned Nov 8, 2024 EST
Create and Manage Cloud Spanner Instances
Earned Nov 8, 2024 EST
使用 Dataplex 建構資料網格
Earned Nov 6, 2024 EST
透過 BigQuery 建構資料倉儲
Earned Nov 6, 2024 EST
Serverless Data Processing with Dataflow: Foundations
Earned Nov 6, 2024 EST
使用 Gemini：應用程式開發人員
Earned Nov 6, 2024 EST
Secure BigLake Data
Earned Nov 6, 2024 EST
Generative AI for Business Leaders
Earned Nov 4, 2024 EST
Migrate MySQL data to Cloud SQL using Database Migration Service
Earned Nov 1, 2024 EDT
Migrate MySQL to Cloud Spanner
Earned Oct 30, 2024 EDT
Migrate PostgreSQL to Cloud SQL
Earned Oct 30, 2024 EDT
Create and Manage AlloyDB Instances
Earned Oct 28, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Oct 26, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Oct 18, 2024 EDT
Create and Manage Bigtable Instances
Earned Oct 17, 2024 EDT
Share Data Using Google Data Cloud
Earned Oct 16, 2024 EDT
Text Prompt Engineering Techniques
Earned Aug 18, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Aug 17, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Aug 17, 2023 EDT
建立圖像說明生成模型
Earned Aug 12, 2023 EDT
Transformer 和 BERT 模型
Earned Aug 11, 2023 EDT
編碼器-解碼器架構
Earned Aug 11, 2023 EDT
注意力機制
Earned Aug 11, 2023 EDT
圖像生成簡介
Earned Aug 11, 2023 EDT
Vertex AI Studio 簡介
Earned Aug 11, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Aug 11, 2023 EDT
Generative AI Fundamentals
Earned Aug 10, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 10, 2023 EDT
大型語言模型簡介
Earned Aug 10, 2023 EDT
生成式 AI 簡介
Earned Aug 10, 2023 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned May 12, 2023 EDT
Preparing for your Professional Data Engineer Journey
Earned Sep 27, 2022 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Sep 19, 2022 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Sep 14, 2022 EDT
在 Compute Engine 實作負載平衡功能
Earned Sep 12, 2022 EDT
Serverless Data Processing with Dataflow: Operations
Earned Sep 5, 2022 EDT
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Aug 30, 2022 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Aug 23, 2022 EDT
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Aug 22, 2022 EDT
Building Batch Data Pipelines on Google Cloud
Earned Aug 16, 2022 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Aug 5, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 30, 2022 EDT