Pluralsight – Building AI-enabled .NET Applications 2024-12

Pluralsight – Building AI-enabled .NET Applications 2024-12 Downloadly IRSpace

Pluralsight – Building AI-enabled .NET Applications 2024-12
Pluralsight – Building AI-enabled .NET Applications 2024-12

Building AI-enabled .NET Applications course. This course teaches you how to easily integrate AI into your .NET applications using practical, real-world examples. AI has revolutionized the world of technology, but how can it be implemented in practical applications? In this course, you will learn how to integrate AI in various ways into .NET applications to solve real-world problems. First, you will learn how to integrate OpenAI very easily using the OpenAI SDK for .NET. Then, you will discover how to integrate common Azure AI services into the same application to improve the user experience. Finally, you will learn how to use the Semantic Kernel as an abstraction layer over different models, allowing you to interact naturally with LLMs. After completing this course, you will gain the skills and knowledge of various AI options in .NET to enhance your .NET applications with AI.

What you will learn:

  • Easily integrate AI into .NET applications
  • Using the OpenAI SDK to integrate OpenAI
  • Integrate Azure AI services to improve user experience
  • Using Semantic Kernel to interact with LLMs

Who is this course suitable for?

  • .NET developers who want to integrate artificial intelligence into their applications.
  • People interested in learning how to use OpenAI, Azure AI, and Semantic Kernel in .NET.

Building AI-enabled .NET Applications course details

  • Publisher: Pluralsight
  • Instructor: Gill Cleeren
  • Education level: Intermediate
  • Training duration: 2 hours and 45 minutes

Course headings

Building AI-enabled .NET Applications

Course images

 

Building AI-enabled .NET Applications

Sample course video

Installation Guide

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Subtitles: English

Quality: 720p

Download link

Download file – 352 MB

File(s) password: www.downloadly.ir

File size

352 MB