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Google Cloud Skills Boost

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Kenneth Mascarenhas

成为会员时间：2018

钻石联赛

34245 积分
Accelerate knowledge exchange with Agentspace Earned Mar 17, 2025 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps Earned Jan 5, 2025 EST
Boost Productivity with Gemini in BigQuery - 简体中文 Earned Jan 2, 2025 EST
Generative AI Fundamentals Earned Dec 5, 2024 EST
Text Prompt Engineering Techniques Earned Dec 5, 2024 EST
Recommendations with AI Applications Earned Nov 30, 2024 EST
Vertex AI Search for Commerce Earned Nov 29, 2024 EST
Search with AI Applications Earned Jun 5, 2024 EDT
Vector Search and Embeddings - 简体中文 Earned Jun 5, 2024 EDT
Introduction to Image Generation - 简体中文 Earned May 21, 2024 EDT
Introduction to Vertex AI Studio - 简体中文 Earned May 21, 2024 EDT
Generative AI for Business Leaders Earned May 15, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - 简体中文 Earned May 15, 2024 EDT
Introduction to Responsible AI - 简体中文 Earned May 14, 2024 EDT
Introduction to Large Language Models - 简体中文 Earned May 14, 2024 EDT
Mitigate Threats and Vulnerabilities with Security Command Center Earned May 9, 2024 EDT
Security Best Practices in Google Cloud Earned May 7, 2024 EDT
Google Kubernetes Engine Best Practices: Security Earned May 3, 2024 EDT
Application Modernization - GKE multi-cluster multi-region infrastructure Earned Apr 10, 2024 EDT
Infra Foundations - Implementing Least Privilege for Service Accounts Earned Mar 12, 2024 EDT
Infra Foundations - Implementing Private Google Access for VPC Service Controls Earned Mar 8, 2024 EST
Introduction to Generative AI - 简体中文 Earned Jan 22, 2024 EST
Building Batch Data Pipelines on Google Cloud Earned Jan 11, 2024 EST
Modernizing Data Lakes and Data Warehouses with Google Cloud Earned Jan 3, 2024 EST
Preparing for your Professional Data Engineer Journey Earned Dec 27, 2023 EST
Preparing for your Professional Cloud Architect Journey Earned Nov 19, 2022 EST
#GoogleClout Set 6 (5/10) Earned Sep 11, 2022 EDT
#GoogleClout Set 5 (4/10) Earned Sep 11, 2022 EDT
#GoogleClout Set 4 (3/10) Earned Sep 11, 2022 EDT
#GoogleClout Set 3 (2/10) Earned Sep 10, 2022 EDT
#GoogleClout Set 2, 1/10 Earned Sep 10, 2022 EDT
#GoogleClout Set 1 Earned Apr 16, 2022 EDT
Serverless Data Processing with Dataflow: Foundations Earned Dec 19, 2021 EST
Google Cloud Big Data and Machine Learning Fundamentals Earned Dec 17, 2021 EST
Work and Play: Healthcare with Google Cloud Earned Mar 7, 2021 EST
Build a Secure Google Cloud Network Earned Dec 16, 2020 EST

Unite Google’s expertise in search and AI with Agentspace, an enterprise tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Agentspace assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.

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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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此课程将探索如何使用 AI 功能套件 Gemini in BigQuery 为“数据到 AI”工作流提供助力。其中涉及到的功能包括数据探索和准备、代码生成和问题排查，以及工作流发现和可视化。此课程包含概念解释、真实使用场景以及实操实验等内容，可帮助数据从业者提升效率并加快流水线开发速度。

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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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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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(Previously named "Recommendations with Vertex AI Agent Builder". Please note that AI Applications was previously named Agent Builder and there maybe instances in this course where references are made to "Agent Builder") Do you want to keep your users engaged by suggesting content they'll love? This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.

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This on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.

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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used) 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 AI Applications to integrate enterprise-grade generative AI search.

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本课程介绍 Vertex AI Vector Search，并说明如何使用它来通过嵌入大语言模型 (LLM) API 构建搜索应用。本课程包括以下内容：讲解矢量搜索和文本嵌入概念的讲座、关于如何在 Vertex AI 上构建矢量搜索的实际演示，以及一项实操实验。

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本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。

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本课程介绍 Vertex AI Studio，这是一种用于生成式 AI 模型原型设计和自定义的工具。通过沉浸式课程、互动式演示和实操实验，您将探索生成式 AI 工作流，了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计和模型调优。本课程的目的在于帮助您利用 Vertex AI Studio，在自己的项目中充分发掘这些模型的潜力。

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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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随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。 本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。

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这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。

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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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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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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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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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