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在 Google Cloud 控制台中运用您的技能

Sany Ahmed

成为会员时间：2019

白银联赛

6255 积分
使用 Gemini 和 Imagen 构建实用 AI 应用 Earned Sep 30, 2025 EDT
使用 Google Vids 制作引人入胜的视频 Earned Aug 26, 2025 EDT
矢量搜索和嵌入 Earned Aug 23, 2025 EDT
适用于端到端 SDLC 的 Gemini Earned Aug 22, 2025 EDT
生成式 AI 简介 Earned Jul 20, 2025 EDT
Security on AWS Earned Jan 17, 2021 EST
Serverless Web Apps using Amazon DynamoDB Earned Oct 16, 2019 EDT
Advanced Operations Using Amazon Redshift Earned Jun 18, 2019 EDT
Solutions Architect - Professional Earned Apr 29, 2019 EDT
Storage & CDN Earned Apr 29, 2019 EDT
Big Data on AWS Earned Apr 27, 2019 EDT
Solutions Architect - Associate Earned Apr 24, 2019 EDT
Websites & Web Apps Earned Apr 20, 2019 EDT
Compute & Networking Earned Apr 20, 2019 EDT

完成“使用 Gemini 和 Imagen 构建实际 AI 应用”技能徽章入门课程，展示您在以下方面的技能：图像识别、自然语言处理、 使用 Google 强大的 Gemini 和 Imagen 模型生成图像、在 Vertex AI 平台上部署应用。

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在本课程中，您将了解 Google Vids，这是一款面向特定 Google Workspace 用户的在线视频制作与编辑应用。通过课程讲解和演示，您将学习如何在工作中通过视频来制作和讲述引人入胜的故事。您还将了解如何无缝整合媒体、音频和视频片段，自定义风格，并轻松分享您的作品。 Vids 的部分功能借助生成式 AI 来帮助您更高效地进行创作。请注意，包括 Gemini 在内的生成式 AI 工具可能会提供不准确或不恰当的信息。请勿将 Gemini 功能提供的信息作为医疗、法律、财务或其他专业领域的建议。另需注意，Gemini 功能提供的建议不代表 Google 的观点，Google 对此概不负责。

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在本次课程中，探索 AI 赋能的搜索技术、工具和应用。学习利用向量嵌入的语义搜索、融合语义和关键字的混合搜索方法，以及检索增强生成 (RAG) 技术，以打造基于事实的 AI 智能体，尽可能减少 AI 幻觉。获取 Vertex AI Vector Search 实战经验，打造您自己的智能搜索引擎。

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在本课程中，您将了解 Gemini（Google Cloud 推出的一款依托生成式 AI 的协作工具）如何帮助您使用 Google 产品和服务开发、测试、部署和管理应用。在 Gemini 的协助下，您可以学习如何开发和构建 Web 应用、修复应用中的错误、开发测试和查询数据。您可以通过实操实验了解如何利用 Gemini 来改进软件开发生命周期 (SDLC)。 Duet AI 已更名为 Gemini，这是我们的新一代模型。

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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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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.

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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.

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In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.

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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Professional Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.

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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.

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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with advanced services for Big Data.

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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.

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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.

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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).

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