Building AI-enabled .NET Applications
Learn to integrate AI with .NET apps! Practical examples show you how to easily add artificial intelligence to your .NET development.
Course Content
Building AI-enabled .NET Applications is an intermediate-level Pluralsight course taught by Gill Cleeren. It runs 2h 45m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 39 reviews. It is a paid course, first published December 2024.
Unlock the power of artificial intelligence in your .NET applications with our comprehensive course, Building AI-enabled .NET Applications. Learn practical strategies to seamlessly integrate AI and solve real-world problems within your .NET projects.
This course guides you through various methods for incorporating AI, starting with:
- Integrating OpenAI: Discover how to easily leverage the capabilities of OpenAI within your .NET apps using the intuitive OpenAI SDK for .NET. We'll cover best practices for utilizing this powerful tool.
- Azure AI Services Integration: Enhance user experiences by integrating common Azure AI services directly into your .NET applications. Learn to leverage features like natural language processing, computer vision, and more.
- Semantic Kernel for LLM Interaction: Explore Semantic Kernel, an abstraction layer that simplifies interaction with various Large Language Models (LLMs). Interact with LLMs in a natural and intuitive way, regardless of the underlying model.
By the end of this course, you'll gain the essential skills and knowledge to effectively integrate AI into your .NET apps, boosting functionality and creating innovative solutions. Master the different AI options in .NET and transform your applications with intelligent features. Learn to build modern, AI-powered .NET solutions.
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