Building AI-Powered Blazor Applications

About this course

Artificial Intelligence is transforming software development, and Blazor developers now have access to an incredible set of tools for building intelligent, responsive, and modern applications.

In this course, you'll learn how to integrate AI capabilities directly into your Blazor applications using practical, hands-on examples designed for developers who are new to AI as well as those looking to expand their existing skills.

We'll begin by exploring AI integration fundamentals, including working with the OpenAI API, running local Large Language Models (LLMs), and using AI to analyze web content and generate SQL queries. From there, we'll dive into advanced topics such as Retrieval Augmented Generation (RAG), AI-powered data access, and Blazor Hybrid applications enhanced with intelligent features.

You'll also gain valuable experience with the latest AI development tools and frameworks, including GitHub Copilot Agent Mode, the Microsoft Agent Framework, custom tools, MCP, structured outputs, multi-agent systems, workflows, human-in-the-loop agents, and the Responses API. Along the way, we'll examine emerging technologies such as AG-UI and discuss the evolving landscape of AI development within the .NET ecosystem.

By the end of this course, you'll have the knowledge and confidence to design, build, and deploy AI-powered Blazor applications using modern techniques, tools, and best practices available today.

Update Sept 2026 Integrating a Blazor Web App with n8n Automations implementing SignalR for Real Time two way communicationn8n is a powerful, low-code automation platform that allows you to connect over 400 apps and integrate AI agents without complex coding. You build workflows using visual triggers, data transformation nodes, and action nodes, and can choose to self-host on your own infrastructure or use their cloud service. This is a highly relevant, bleeding-edge architecture. The

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