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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-asynchronous-imagebackground-processing-with-azure/
课程评论：没有评论
课程名称：ASP.NET Core 异步 AI 图像处理 Azure 项目 课程概述：本课程将深入探讨如何使用 Azure 函数、Azure Blob 存储及其他关键云服务构建异步图像处理系统。随着企业和应用越来越依赖于处理大量数据集，掌握异步管理这些工作负载的能力变得至关重要。本课程提供了一种逐步的方法，从基础的函数和 Blob 存储（上传图像）开始，逐步深入到更高级的概念，如队列触发器和异步工作流。 课程内容包括： - 探索实际案例，构建可扩展的异步图像上传处理系统，提高性能和处理大量数据的能力。 - 使用 Azure Key Vault 来保护敏感信息，并整合数据库存储图像元数据。 - 优化和扩展工作流，以高效处理成千上万的请求，利用 AI 工具进行图像分析。 - 部署 Azure 函数并进行性能监控。 无论你是刚刚接触 Azure，还是希望提升云计算技能，这门课程都将为你提供成为熟练构建基于 Azure 的后台处理系统所需的所有知识与技能。同时，课程还将介绍如何设置 Azure 函数进行图像处理，以及使用 Blob 存储的最佳实践。
In this course, you will dive deep into building asynchronous image processing systems using Azure Functions, Azure Blob Storage, and other key cloud services. As businesses and applications increasingly rely on processing large datasets, understanding how to manage these workloads asynchronously is crucial. This course offers a step-by-step approach, starting with the basics of Functions and blob storage for uploading images and moving on to advanced concepts such as queue triggers and asynchronous workflows.We will explore real-world case studies, such as building scalable systems to process image uploads in an asynchronous manner, enhancing performance, and managing large volumes of data. You'll learn to secure sensitive information using Azure Key Vault and integrate databases for storing image metadata. The course also covers optimizing and scaling workflows to handle thousands of requests efficiently, leveraging AI tools for image analysis, and deploying Azure Functions with monitoring for performance.Whether you're just starting out with Azure or want to take your cloud computing skills to the next level, this course offers everything you need to become proficient in building cloud-based background processing systems on Azure.How do you set up Azure functions for image processing and best practices for using blob storage and?
