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Albertus Christian
Member since 2024
Diamond League
49140 points
Cloud 安全風險管理策略
Earned Dec 16, 2025 EST
使用 Security Command Center 緩解威脅及修復安全漏洞
Earned Aug 23, 2024 EDT
開始使用 Sensitive Data Protection
Earned Aug 20, 2024 EDT
BigQuery for Data Analysts
Earned Aug 8, 2024 EDT
在 BigQuery 執行預測資料分析
Earned Aug 8, 2024 EDT
Strategies for Cloud Security Risk Management
Earned Aug 7, 2024 EDT
Looker 資料模型管理
Earned Aug 6, 2024 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI
Earned Aug 2, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Aug 1, 2024 EDT
DEPRECATED Build Google Cloud Infrastructure for Azure Professionals
Earned Aug 1, 2024 EDT
使用 Document AI 大規模自動擷取資料
Earned Jul 31, 2024 EDT
在連結試算表中分析 BigQuery 資料
Earned Jul 31, 2024 EDT
在 Agent Platform 探索生成式 AI
Earned Jul 30, 2024 EDT
DEPRECATED Build LangChain Applications using Vertex AI
Earned Jul 30, 2024 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jul 29, 2024 EDT
雲端架構：設計、實作與管理
Earned Jul 29, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Jul 28, 2024 EDT
基本概念：資料、機器學習和 AI
Earned Jul 25, 2024 EDT
Deploying SAP on Google Cloud
Earned Jul 21, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jul 16, 2024 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jul 16, 2024 EDT
The Arcade Trivia June 2024 Week 3
Earned Jul 15, 2024 EDT
Level 2: Develop and Deploy
Earned Jul 14, 2024 EDT
The Arcade Trivia June 2024 Week 1
Earned Jul 13, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned Jul 11, 2024 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jul 11, 2024 EDT
Launching into Machine Learning
Earned Jun 30, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jun 30, 2024 EDT
Cloud SQL
Earned Jun 30, 2024 EDT
Vertex AI Studio 簡介
Earned Jun 29, 2024 EDT
建立圖像說明生成模型
Earned Jun 28, 2024 EDT
Transformer 和 BERT 模型
Earned Jun 28, 2024 EDT
編碼器-解碼器架構
Earned Jun 28, 2024 EDT
注意力機制
Earned Jun 28, 2024 EDT
圖像生成簡介
Earned Jun 28, 2024 EDT
在 Google Cloud 使用 TensorFlow 分類圖像
Earned Jun 28, 2024 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Jun 25, 2024 EDT
生成式 AI 簡介
Earned Jun 8, 2024 EDT
這是 Google Cloud 網路安全專業證書五堂課程中的第二堂。本課程將介紹廣泛使用的雲端風險管理架構，探討安全領域、法規遵循生命週期，以及 HIPAA、NIST CSF 和 SOC 等業界標準。您將學會識別風險、實作安全控管措施、評估法規遵循情形，以及管理資料保護作業。此外，您還將實際操作 Google Cloud 和多雲端工具，瞭解如何因應風險和法規遵循需求。本課程也納入求職和面試準備技巧，提供全方位基礎知識，協助學員瞭解並有效應對雲端風險管理的複雜現況。
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完成使用 Security Command Center 緩解威脅及修復安全漏洞技能徽章中階課程，即可證明您具備下列技能： 防範及管理環境威脅、找出並修復應用程式安全漏洞，以及應對安全異常狀況。
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完成「開始使用 Sensitive Data Protection」 技能徽章入門課程，證明您具備下列技能：使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。
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This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.
This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
Earn a skill badge by completing the Build Google Cloud Infrastructure for Azure Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing. 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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完成使用 Document AI 大規模自動擷取資料課程，即可獲得入門級技能徽章。在本課程中，您將瞭解如何使用 Document AI 擷取、處理及提取資料。
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完成「在連結試算表中分析 BigQuery 資料」技能徽章，即可證明您能使用連結試算表，在 Google 試算表中存取、分析及共用數十億列的 BigQuery 資料，還能以圖表呈現。
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完成「在 Agent Platform 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。
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Complete the introductory Build LangChain Applications using Vertex AI skill badge to learn how to build Generative AI applications using LangChain and the Retrieval Augmented Generation (RAG) technique for text-based content, powered by Vertex AI's advanced Generative AI capabilities. Discover how to integrate powerful large language models (LLMs) with search and retrieval workflows, boosting the accuracy and relevance of your generated content. Earn a Google Cloud skill badge and showcase your expertise by completing the course and its final assessment challenge lab.
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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。
This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題，但這些領域相當專業，就算想要入門 也難以取得教材或資料。幸好，Google Cloud 提供了此領域的多種服務，而且容易使用。 參加這堂入門課程，您就能踏出第一步， 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。
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This course provides a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are, leaving the course with actionable experience to configure SAP on Google Cloud and run SAP workloads on Google Cloud.
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完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
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完成 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 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 Managed Service for Apache Spark 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。
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
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Hey there! You're invited to game on with the 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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Bring your ideas to life by gaining hands-on experience in application development and deployment on Google Cloud Platform. Master security, traffic management, and learn to use development frameworks while earning a Google Cloud Credential. No prior experience needed!
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Hey there! You're invited to game on with the 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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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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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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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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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。
本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
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完成「在 Google Cloud 使用 TensorFlow 分類圖像」技能徽章中階課程， 瞭解如何使用 TensorFlow 和 Vertex AI 建立及訓練機器學習模型， 即可獲得技能徽章。在 Vertex AI Workbench 中，你主要會和使用者自行管理的筆記本 互動。
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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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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。
Cloud 安全風險管理策略
Earned Dec 16, 2025 EST
使用 Security Command Center 緩解威脅及修復安全漏洞
Earned Aug 23, 2024 EDT
開始使用 Sensitive Data Protection
Earned Aug 20, 2024 EDT
BigQuery for Data Analysts
Earned Aug 8, 2024 EDT
在 BigQuery 執行預測資料分析
Earned Aug 8, 2024 EDT
Strategies for Cloud Security Risk Management
Earned Aug 7, 2024 EDT
Looker 資料模型管理
Earned Aug 6, 2024 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI
Earned Aug 2, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Aug 1, 2024 EDT
DEPRECATED Build Google Cloud Infrastructure for Azure Professionals
Earned Aug 1, 2024 EDT
使用 Document AI 大規模自動擷取資料
Earned Jul 31, 2024 EDT
在連結試算表中分析 BigQuery 資料
Earned Jul 31, 2024 EDT
在 Agent Platform 探索生成式 AI
Earned Jul 30, 2024 EDT
DEPRECATED Build LangChain Applications using Vertex AI
Earned Jul 30, 2024 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jul 29, 2024 EDT
雲端架構：設計、實作與管理
Earned Jul 29, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Jul 28, 2024 EDT
基本概念：資料、機器學習和 AI
Earned Jul 25, 2024 EDT
Deploying SAP on Google Cloud
Earned Jul 21, 2024 EDT
在 Google Cloud 使用機器學習 API
Earned Jul 21, 2024 EDT
使用 Gemini 和 Streamlit 開發生成式 AI 應用程式
Earned Jul 17, 2024 EDT
在 Looker 建構 LookML 物件
Earned Jul 17, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jul 16, 2024 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jul 16, 2024 EDT
The Arcade Trivia June 2024 Week 3
Earned Jul 15, 2024 EDT
Level 2: Develop and Deploy
Earned Jul 14, 2024 EDT
The Arcade Trivia June 2024 Week 1
Earned Jul 13, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned Jul 11, 2024 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jul 11, 2024 EDT
Launching into Machine Learning
Earned Jun 30, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jun 30, 2024 EDT
Cloud SQL
Earned Jun 30, 2024 EDT
Vertex AI Studio 簡介
Earned Jun 29, 2024 EDT
建立圖像說明生成模型
Earned Jun 28, 2024 EDT
Transformer 和 BERT 模型
Earned Jun 28, 2024 EDT
編碼器-解碼器架構
Earned Jun 28, 2024 EDT
注意力機制
Earned Jun 28, 2024 EDT
圖像生成簡介
Earned Jun 28, 2024 EDT
在 Google Cloud 使用 TensorFlow 分類圖像
Earned Jun 28, 2024 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Jun 25, 2024 EDT
生成式 AI 簡介
Earned Jun 8, 2024 EDT