Asynchronous AI Image Processing with Azure in ASP.NET Core

[Courses2024 0]

Free Download Asynchronous AI Image Processing with Azure in ASP.NET Core
Published 10/2024
Created by Sandeep MVN
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 50m ) | Size: 1.14 GB

Case Study:- Master the art of building asynchronous background processing systems with Azure and other cloud services.
What you'll learn
Introduction to Azure and Asynchronous Architecture
Setting Up and Understanding Blob Storage & Queue Triggers
Real-life case studies on asynchronous processes and image analysis
Enhancing Image Processing with AI Analysis
Requirements
C#
ASP NET Core
MVC
Description
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?
Who this course is for
Cloud Developers: Developers who want to learn how to build scalable, efficient asynchronous systems using Azure Functions and other cloud services.
Software Engineers: Engineers seeking to expand their knowledge of cloud architecture, image processing, and handling large datasets asynchronously.
Aspiring Cloud Architects: Individuals who are looking to design cloud-based solutions with a focus on performance optimization and scalable workflows.
IT Professionals: Those in the IT field who are responsible for deploying, managing, or optimizing cloud infrastructure and services on Azure.
Web Developers: Developers looking to integrate Azure services, such as blob storage, queue triggers, and serverless functions, into their web applications.
Students and Enthusiasts: Those interested in learning about cloud computing and gaining hands-on experience with Azure technologies.
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