Building AI-enabled .NET Applications
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.

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What You'll Master in this Course
Course Curriculum47 Lectures
7 sections • 3.5 hours total length
Requirements
- Basic enthusiasm to learn and follow along with lessons
- A computer or mobile device with a modern internet connection
Description
Instructor
Gill Cleeren
Specialist in AI, Machine Learning & Data Science
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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