A Gentle Introduction To ASP.NET and Blazor with AI Apps (Udemy.com)

There are a number of  flavors of ASP.NET,  Web Forms (Web Sites and Web Applications),  Model-View-Controller (MVC) , Razor Pages and the newest one Blazor. This course is aimed at anyone who wants to create dynamic websites using all these models , with ASP.NET Web Forms as the starting point and Blazor as the eventual ending point receving the most emphasis.

ASP.NET is the Microsoft platform for developing Web Applications. Using ASP.NET you can create e-commerce sites, data driven portals and just about anything else you can find on the internet. Best of all, you don't need to paste together a jumble of HTML and JavaScript code. Instead you can create full scale web apps by leveraging your knowledge of C# coding and a design tool like Visual Studio.

In recent years Microsoft has added MVC (Model View Controller) and Razor pages which offer different ways to build dynamic web pages. It's good to have a strong knowledge of all of these web application programming models before moving onto the most future forward choice  Blazor.

We cover all these models at a beginners level offering a multitude of practical applications. BUT we take a really deep dive into Blazor , moving from beginners to intermediate and slightly advanced concepts including AI applications.

Our focus will be working with Visual Studio on WINDOWS machines .  All coding examples are fully compatible with the LATEST Visual Studio Editions (As of 2025 Visual Studio Community 2022 and Visual Studio 2026) for WINDOWS .

Major Course Updates:

Sept  2026-

• Integrating a Blazor Web App with n8n Automations implementing SignalR for Real Time two way communication

  • n8n 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 combination of Blazor Web Apps for interactive, responsive front-ends and n8n for back-end node-based multi-agent orchestration is an incredibly smart engineering choice. The lack of noise in the ASP.NET community is not a sign of outdated technology; it is simply a reflection of a traditional community lag and standard ecosystem silos

  • Why This Stack is Ahead of the Curve

    • Separation of Concerns: Writing multi-step, multi-agent logic entirely in C# means writing heavy boilerplate, dealing with state persistence, and constantly rewriting code when tweaking LLM prompts or agent steps. Passing orchestration to n8n keeps Blazor lightweight.

    • Rapid Iteration: n8n acts as your visual, living backend. You can modify a prompt, change an agent's tool, or swap out an LLM provider (e.g., swapping OpenAI for Claude or Gemini) on the fly in n8n without a single recompilation or redeployment of your Blazor app.

    • The "Glue" Factor: n8n has hundreds of native integrations (Google Sheets, Slack, databases, CRM systems). Building those connections natively via C# NuGet packages takes weeks; in n8n, it takes seconds

  • Sampling of Topics covered

    • Simple queries with responses directed to user specified emails

    • Sequential workflows

    • Connecting to an AirTable database and using Natural Language to  perform queries and full CRUD functionality with voice input

    • Connecting to an n8n workflow which performs RAG data ingestion using a Qdrant Vector Store and Document analysis via an AI Agent .

    • Image Analysis with Blazor and n8n:  Human in the Loop Receipt Approval

    • Web Scraping where the Blazor web app uploads a payload (user query and sessionId) to an n8n workflow that initiates a web scrape and returns the results back to Blazor  (using SignalR). The results are then deserialized according to a predefined class and be displayed in tabular form. We then use an AI Agent to answer natural language questions about the scraped content. The key here is that we are now using two unique Webhook endpoints and two unique SignalR events

    • Take our Blazor and n8n integration in an exciting new direction by bringing Telegram into the picture (mobile or desktop) . We're going to build an AI-powered assistant that goes far beyond a traditional text-based chatbot. This assistant will be able to see images, understand spoken questions, respond with both text and audio, translate languages, search the web, work with email and calendars, and much more.

  • Through practical, real-world examples, you'll see how this integration can take a traditional Blazor application and turn it into a smart, connected, and automated business application—while keeping the complexity of workflow orchestration outside your core application.

• Learn how to implement the new Microsoft Agent Framework

  • Working with Multi-Model (ChatGPT or Ollama), Multi-Agent scenarios using Sequential ,Concurrent, Handoff and Group Chat  Workflows

  • Working with the new OpenAI Responses API (designed for building advanced stateful AI agents with built in tools like Web Search and File Search) instead of the Chat Completions API.

  • Implementing Human in the Loop AI Agents using the Microsoft Agent Framework

  • Adding custom memory to the Microsoft Agent Framework. It enables AI agents to recall user preferences, past interactions, and domain-specific knowledge across sessions, moving beyond stateless, one-off conversations.

  • Implementing the Google Gemini LLM in a .NET MAUI Blazor Hybrid Application to demonstrate Google Maps Integration

• 221 Lectures

• 65+ Hours of Videos 

• 1100 + downloadable demos (fully compatible with latest Visual Studio IDE 2022/2026)

  • Sample applications specifically for the current lectures

  • PLUS hundreds of supplementary demos and exercise solutions

  • ... and more added monthly