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Dan Henderson

成为会员时间：2018

钻石联赛

18843 积分
Preparing for your Professional Cloud Architect Journey Earned Mar 17, 2026 EDT
AWS EC2 to Compute Engine Earned Mar 17, 2026 EDT
Vertex AI Search and Gemini Enterprise UI Configurations Earned Jan 2, 2026 EST
Improve Vertex AI Search and Gemini Enterprise Search Results Earned Jan 2, 2026 EST
Discover Business Value for Customers Earned Dec 23, 2025 EST
Extend Gemini Enterprise Assistant Capabilities Earned Dec 22, 2025 EST
Agent Summarization (Custom) Earned Dec 22, 2025 EST
GDC Platform Introduction Earned Dec 22, 2025 EST
L300 Google Distributed Cloud air-gapped Earned Dec 18, 2025 EST
L200 Google Distributed Cloud air-gapped Earned Dec 5, 2025 EST
Quiz: GDC Air-Gapped Practitioner Fundamentals Earned Dec 3, 2025 EST
Introduction to Google Distributed Cloud air-gapped Earned Dec 1, 2025 EST
Generate and Edit Media in Vertex AI Earned Jul 13, 2025 EDT
Extend Gemini with controlled generation and Tool use Earned Jul 13, 2025 EDT
Empower Gen AI apps with tool use Earned Jul 13, 2025 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned Feb 16, 2024 EST
Generative AI Fundamentals - 简体中文 Earned Feb 16, 2024 EST
负责任的 AI 简介 Earned Feb 16, 2024 EST
大型语言模型简介 Earned Feb 16, 2024 EST
生成式 AI 简介 Earned Feb 16, 2024 EST
Cloud Hero DevOps Skills Earned Dec 6, 2023 EST

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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Migration from AWS EC2 to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.

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Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience. In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps. (Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)

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If you've worked with data, you know that some data is more reliable than other data. In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user. (Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)

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The course aims to train Google technical sales partners on the business value discovery process using proprietary content. Course activities use an external tool (Yoodli). Refer to Yoodli's Terms of Service and Privacy Notice. Note: The Yoodli Labs in this course will be deprecated on March 31st. We encourage you to finish your remaining Yoodli Labs before the March 31 deadline.

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Complete the Extend Gemini Enterprise Assistant Capabilities skill badge to demonstrate your ability to extend Gemini Enterprise assistant's capabilities with actions, grounding with Google Search, and a conversational agent. 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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In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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This course provides an introduction to the GDC platform—which enables you to host, control, and manage infrastructure and services directly on your premises. GDC air-gapped is one component of Google Distributed Cloud offering which aligns to Google’s digital sovereignty vision. It supports public-sector customers and commercial entities that have strict data residency, security or privacy requirements.

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This L300 course explores the intricacies of the hardware and networking infrastructure, examines the role of Kubernetes in container orchestration, and how to master the deployment process. The course emphasizes critical security aspects, guiding you through defense-in-depth design, zero-trust architecture, and essential operational security measures for protecting sensitive data. You'll also gain valuable insights into operational aspects, such as resource management, upgrades, and solutions tailored for GDC customers.

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This L200 course comprehensively explores GDC air-gapped's concepts, architecture, and operational aspects, equipping learners with the knowledge to deploy and manage this solution effectively. The course delves into topics such as the roles of vendors and partners, hardware and software components, zero trust security, multi-tenancy, support and operations, observability, Identity and Access Management, managed services, and the GDC Sandbox environment. Furthermore, the course provides insights into compliance and accreditation processes, ensuring learners understand the regulatory landscape and can navigate it successfully. By the end of this course, learners will have a solid understanding of GDC air-gapped and be prepared to leverage its capabilities for their organization's needs.

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This quiz tests your GDC Air-Gapped Practitioner Fundamentals knowledge.

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In this course, you will learn about GDC air-gapped (previously known as GDC Hosted), an offering from Google Distributed Cloud. This course provides both a business and technical overview of GDC air-gapped, exploring its key features and target customers. Participants will gain insights into GDC air-gapped's value proposition and learn how to effectively communicate its benefits to potential clients, enabling them to qualify for sales opportunities.

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This course dives into the world of media creation in Vertex AI using Nano Banana and Veo. Learn to design text and image-based prompts to produce high-quality, consistent images, and captivating, cinematic video clips. You'll also learn to refine generated assets using core editing functions. Finally, this course guides you through multi-tool workflow implementations for creative control and consistency, empowering you to transform images into video clips and leverage Gemini for prompt writing assistance and feedback.

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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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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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完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。 技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。

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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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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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Welcome Gamers! Learn to navigate that iterative journey efficiently and effectively using Google Cloud's operations tools!, all while having fun! Deploy a Kubernetes cluster along with a service using Terraform. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.

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