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Kenneth Mascarenhas

成为会员时间：2018

钻石联赛

24815 积分
Developing apps with Vertex AI Agent Builder: Search徽章 Developing apps with Vertex AI Agent Builder: Search Earned Jun 5, 2024 EDT
Vector Search and Embeddings - 繁體中文徽章 Vector Search and Embeddings - 繁體中文 Earned Jun 5, 2024 EDT
Introduction to Image Generation - 繁體中文徽章 Introduction to Image Generation - 繁體中文 Earned May 21, 2024 EDT
Introduction to Vertex AI Studio - 繁體中文徽章 Introduction to Vertex AI Studio - 繁體中文 Earned May 21, 2024 EDT
Generative AI for Business Leaders徽章 Generative AI for Business Leaders Earned May 15, 2024 EDT
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 May 15, 2024 EDT
Introduction to Responsible AI - 繁體中文徽章 Introduction to Responsible AI - 繁體中文 Earned May 14, 2024 EDT
Introduction to Large Language Models - 繁體中文徽章 Introduction to Large Language Models - 繁體中文 Earned May 14, 2024 EDT
Mitigate Threats and Vulnerabilities with Security Command Center徽章 Mitigate Threats and Vulnerabilities with Security Command Center Earned May 9, 2024 EDT
Security Best Practices in Google Cloud徽章 Security Best Practices in Google Cloud Earned May 7, 2024 EDT
Google Kubernetes Engine Best Practices: Security徽章 Google Kubernetes Engine Best Practices: Security Earned May 3, 2024 EDT
Application Modernization - GKE multi-cluster multi-region infrastructure徽章 Application Modernization - GKE multi-cluster multi-region infrastructure Earned Apr 10, 2024 EDT
Infra Foundations - Implementing Least Privilege for Service Accounts徽章 Infra Foundations - Implementing Least Privilege for Service Accounts Earned Mar 12, 2024 EDT
Infra Foundations - Implementing Private Google Access for VPC Service Controls徽章 Infra Foundations - Implementing Private Google Access for VPC Service Controls Earned Mar 8, 2024 EST
Introduction to Generative AI - 繁體中文徽章 Introduction to Generative AI - 繁體中文 Earned Jan 22, 2024 EST
Building Batch Data Pipelines on Google Cloud徽章 Building Batch Data Pipelines on Google Cloud Earned Jan 11, 2024 EST
Modernizing Data Lakes and Data Warehouses with Google Cloud徽章 Modernizing Data Lakes and Data Warehouses with Google Cloud Earned Jan 3, 2024 EST
Preparing for your Professional Data Engineer Journey徽章 Preparing for your Professional Data Engineer Journey Earned Dec 27, 2023 EST
Preparing for your Professional Cloud Architect Journey徽章 Preparing for your Professional Cloud Architect Journey Earned Nov 19, 2022 EST
#GoogleClout Set 6 (5/10)徽章 #GoogleClout Set 6 (5/10) Earned Sep 11, 2022 EDT
#GoogleClout Set 5 (4/10)徽章 #GoogleClout Set 5 (4/10) Earned Sep 11, 2022 EDT
#GoogleClout Set 4 (3/10)徽章 #GoogleClout Set 4 (3/10) Earned Sep 11, 2022 EDT
#GoogleClout Set 3 (2/10)徽章 #GoogleClout Set 3 (2/10) Earned Sep 10, 2022 EDT
#GoogleClout Set 2, 1/10徽章 #GoogleClout Set 2, 1/10 Earned Sep 10, 2022 EDT
#GoogleClout Set 1徽章 #GoogleClout Set 1 Earned Apr 16, 2022 EDT
Serverless Data Processing with Dataflow: Foundations徽章 Serverless Data Processing with Dataflow: Foundations Earned Dec 19, 2021 EST
Google Cloud Big Data and Machine Learning Fundamentals徽章 Google Cloud Big Data and Machine Learning Fundamentals Earned Dec 17, 2021 EST
Work and Play: Healthcare with Google Cloud徽章 Work and Play: Healthcare with Google Cloud Earned Mar 7, 2021 EST
Build a Secure Google Cloud Network徽章 Build a Secure Google Cloud Network Earned Dec 16, 2020 EST

(Previously named Search on Vertex AI Agent Builder) Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities. This course teaches you to use Vertex AI Agent Builder to integrate enterprise-grade generative AI search.

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本課程旨在介紹 Vertex AI Vector Search，並說明如何透過大型語言模型 (LLM) API 生成嵌入，運用這項服務建構搜尋應用程式。這堂課程涵蓋概念課程、實際示範與實作研究室。概念課程將說明向量搜尋和文字嵌入；實際示範則會演示如何透過 Vertex AI 建構向量搜尋。

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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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Vertex AI Studio 可用於生成式 AI 模型的原型設計和自訂。本課程會介紹這項工具，並透過沉浸式課程、生動示範和實作研究室，讓您將瞭解生成式 AI 的工作流程，以及如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計和模型調整。目的是讓您能運用 Vertex AI Studio，發揮專案中這些模型的潛能。

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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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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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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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Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.

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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.

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Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.

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Earn a DRI badge by completing the Application Modernization - GKE multi-cluster multi-region infrastructure quest, where you demonstrate your understanding of GKE Best-practices GKE Networking, GKE Security, GKE multi-clusters architecture, VPC networking custom networking mode and VPC routing When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.

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Earn a DRI badge by completing the Infra Foundations - Implementing Least Privilege for Service Accounts quest, where you demonstrate your capabilities to manage service accounts, assign IAM roles, setting up and using impersonation and implementing logging sinks that target GCS buckets. When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.

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Earn a DRI badge by completing the Infra Foundations - Implementing Private Google Access for VPC Service Controls quest, where you demonstrate your capabilities implementing VPC networking custom networking mode, Private Google Access, Cloud DNS response policies, VPC routing and Service Controls. When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.

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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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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 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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This course helps learners create a study plan for the PCA (Professional Cloud Architect) 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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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each day unlocks a new cloud puzzle. Complete all five and you’ll earn the inaugural Google Cloud badge! Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each day unlocks a new cloud puzzle. Complete all five and you’ll earn the inaugural Google Cloud badge! Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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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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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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Google Cloud, in partnership with Harvard Global Health Institute, released the COVID-19 Public Forecasts to serve as an additional resource for healthcare, the public sector, and other organizations responding to the pandemic. In this edition of the Work and Play Series, we are going to learn how to use that data to make predictions and visualizations. You’ll get hands-on experience with exactly the same tools being used to help solve complex problems and keep people safe and healthy.

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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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