RANAJIT DHAR
成为会员时间:2025
钻石联赛
18083 积分
成为会员时间:2025
Hey there! You're invited to game on with Google Skills Arcade Trivia for December 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 December Trivia Week 4 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December 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 December Trivia Week 3 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December 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 December Trivia Week 2 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December 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 December Trivia Week 1 badge!
Every day, millions of apps depend on fast data reads, stable networks, and reliable backend logic to keep users connected. Delivering that experience starts with strong development and foundational skills. In this challenge, you’ll level up through ACE App Dev labs, write to Firestore using Python and TypeScript, and build confidence with essential Linux commands. You’ll also strengthen your networking basics. These labs give you the core abilities every cloud developer needs—clean app logic, solid network understanding, and command-line fluency.
Organizations today rely on secure data controls, resilient network design, and AI-driven insights to operate confidently at scale. In this challenge, you’ll manage Vault policies and tokens, validate SQL Server workloads, and visualize security alerts using Google SecOps. You’ll also establish VPC-to-VPC and hybrid connectivity with NCC and steer global traffic with Cloud DNS geolocation policies. On the AI side, you’ll improve speech recognition accuracy and extract, analyze, and translate text using Cloud ML and Natural Language tools. These labs show how modern cloud systems stay protected, connected, and intelligent in an ever-evolving environment.
Intelligent systems today process everything from scanned invoices to massive data lakes, all while powering apps that users expect to work instantly. Handling that complexity calls for advanced AI, strong governance, and dependable cloud architecture. In this challenge, you’ll extract insights from documents with Document AI, organize and manage distributed data using Dataplex, and secure sensitive information with Cloud KMS. You’ll also deploy containerized apps on Kubernetes Engine, build real-time backends with Firebase, create no-code chat apps with AppSheet, and monitor live activity through Streamlit. These labs show how modern cloud solutions combine intelligence and architecture to stay efficient, secure, and ready for anything.
Over 90% of enterprises rely on APIs to accelerate innovation and streamline connectivity across systems. In this challenge, you’ll learn how Apigee X helps modernize, publish, and secure APIs—enabling seamless communication between applications and services. You’ll also explore Looker, Cloud SQL, and Database Migration Service to transform raw data into actionable insights and migrate workloads securely to the cloud. Together, these labs highlight how intelligent integration powers agility, scalability, and smarter decision-making in today’s digital ecosystem.
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。
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October 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 October Trivia Week 1 badge!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October 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 October Trivia Week 2 badge!
Every minute, people upload more than 500 hours of video to YouTube, while apps worldwide handle millions of users at once. Managing that kind of demand requires powerful, scalable cloud solutions. In this challenge, you’ll store and serve media in Cloud Storage, deploy apps on Kubernetes Engine, and connect networks with VPC peering. You’ll also explore Cloud Functions, Cloud Run, IAM, and load balancing for secure, reliable systems—plus dive into Dataproc and Video Intelligence for smarter data insights. These labs show how today’s apps scale, stay secure, and keep delivering when demand never slows down!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October 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 October Trivia Week 3 badge!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October 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 October Trivia Week 4 badge!
Modern applications rely on scalable infrastructure, secure identity management, and real-time monitoring to perform reliably. In this challenge, you’ll learn to configure Cloud Storage buckets for website hosting, deploy containers with Google Kubernetes Engine, and manage authentication and authorization with Vault. Explore Cloud Spanner for highly available databases, troubleshoot data models in Looker, and improve LookML projects for usability. You’ll also monitor logs, create alerts, and dive into Cloud Functions across Go, Node.js, .NET, and PHP to build responsive, secure, and scalable cloud applications.
本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具,可協助您透過 Google Cloud 使用 Google 產品和服務,開發、測試、部署及管理應用程式。有了 Gemini 的協助,您會學到如何開發和建構網頁應用程式、修正應用程式中的錯誤、開發測試及查詢資料。在實作研究室中,您也會體驗到 Gemini 如何改良軟體開發生命週期 (SDLC)。 Duet AI 已更名為 Gemini,這是我們的新一代模型。
Nearly 1 in 3 people worldwide already use AI chatbots in their daily lives, and more than 90% of companies are exploring generative AI for work and learning. In this challenge, you’ll chat with bots that can talk about movies and music, and help you practise French, Spanish, Hindi, Mandarin, and Portuguese. You’ll also explore AI study partners designed for cloud roles like architect, engineer, and digital leader. These labs show how AI can make learning easier, more interactive, and a lot more fun.
This course is designed for Google Cloud developers and DevOps engineers who have basic knowledge of the Google Cloud console and are responsible for configuring Gemini Code Assist for an organization. The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions. The course also shows you how to configure and manage Gemini Code Assist within an organization.
AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.
本課程將複習 Model Armor 的基本安全功能,讓您具備使用這項服務的能力。您將瞭解 LLM 的相關安全風險,以及 Model Armor 如何保護 AI 應用程式。
人工智慧 (AI) 帶來轉型可能,但全新資安挑戰也隨著出現。本課程介紹資料安全和保護的策略,可幫助相關領域的領導者,在企業內部安全地管理 AI。您可以瞭解如何建立框架,主動辨別和減輕 AI 特有的風險、保護機密資料、確實法規遵循,並打造堅韌的 AI 基礎架構。我們提供四個不同產業的案例,帶您探索如何實際應用這些策略。
本課程涵蓋「AI 隱私權」和「AI 安全性」這兩個重要主題。我們將介紹實用的方法和工具,協助您運用 Google Cloud 產品和開放原始碼工具,導入 AI 隱私權和安全性的建議做法。
本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具,有助於讓資料和 AI 模型透明且可解釋。
本課程旨在說明負責任 AI 技術的概念和 AI 開發原則,同時介紹各項技術,在實務上找出公平性和偏誤,減少 AI/機器學習做法上的偏誤。我們也將探討實用方法和工具,透過 Google Cloud 產品和開放原始碼工具,導入負責任 AI 技術的最佳做法。
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。
本課程旨在提供必要的知識和工具,協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰,並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序,打造成效非凡的生成式 AI 專案。
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
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。
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。
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。
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.
This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.
This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
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.
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.
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.
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.
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.
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.
This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
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.
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.
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.
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.
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.
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.
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!
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.
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.
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.
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.
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.
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.
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.
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
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。
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。
完成 使用 Gemini 多模態功能和多模態 RAG 檢查複合型文件 技能徽章中階課程,即可證明您具備下列技能: 透過 Gemini 多模態功能,使用多模態提示從文字和影像資料擷取資訊、生成影片說明,以及擷取影片以外的額外資訊; 透過 Gemini 的多模態檢索增強生成 (RAG) 功能,為含有文字和圖片的文件建構中繼資料、取得所有相關文字分塊,以及顯示引用資料。
完成 使用 Gemini 和 Streamlit 開發生成式 AI 應用程式 技能徽章中階課程,即可證明您具備下列技能: 生成文字、透過 Python SDK 和 Gemini API 呼叫函式,以及運用 Cloud Run 部署 Streamlit 應用程式。 您將瞭解如何以不同方式透過提示請 Gemini 生成文字、使用 Cloud Shell 測試及疊代 Streamlit 應用程式,隨後封裝成 Docker 容器並在 Cloud Run 中部署。
完成「Gemini 和 Imagen 實務應用:建構 AI 應用程式」技能徽章入門課程,即可證明您具備下列技能:圖片辨識、自然語言處理、 使用 Google 強大的 Gemini 和 Imagen 模型生成圖片,以及在 Vertex AI 平台上部署應用程式。
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。