Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
在 Google Cloud 控制台中运用您的技能
Nikola Domazet
成为会员时间：2024
黄金联赛
11200 积分
图像生成简介
Earned Jul 9, 2024 EDT
Vertex AI Search for Commerce
Earned Jul 9, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Jul 3, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 3, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned Jul 1, 2024 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Jun 2, 2024 EDT
在 Vertex AI 中设计提示
Earned May 30, 2024 EDT
负责任的 AI 简介
Earned May 30, 2024 EDT
大型语言模型简介
Earned May 29, 2024 EDT
生成式 AI 简介
Earned May 29, 2024 EDT
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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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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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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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.
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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 在 Vertex AI 中设计提示入门技能徽章课程，展示以下方面的技能： Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示，指导生成式 AI 输出， 以及将 Gemini 模型应用于真实的营销场景。
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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。
图像生成简介
Earned Jul 9, 2024 EDT
Vertex AI Search for Commerce
Earned Jul 9, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Jul 3, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 3, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned Jul 1, 2024 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Jun 2, 2024 EDT
在 Vertex AI 中设计提示
Earned May 30, 2024 EDT
负责任的 AI 简介
Earned May 30, 2024 EDT
大型语言模型简介
Earned May 29, 2024 EDT
生成式 AI 简介
Earned May 29, 2024 EDT