4 hours ago
[center]![[Image: ede1b36ea21532fb96f67f2671080581.jpg]](https://i127.fastpic.org/big/2026/0607/81/ede1b36ea21532fb96f67f2671080581.jpg)
Building Ai-Powered Blazor Applications
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 16h 42m | Size: 38.99 GB[/center]
A Practical and Beginner-Friendly Guide to Modern .NET AI Development using OpenAI, Local LLMs and MS Agent Framework
What you'll learn
Learn to create simple Blazor Hybrid (.NET MAUI) applications , extending the capabilities of .NET developers beyond the Web into desktop and mobile development
Learn about the concept of Localization. The the process of customizing applications to display and operate in the culture of the user.
Create simple applications that integrates Localization into Blazor WebAssembly, Server and .NET MAUI Blazor
Learn about the latest features and enhancements to Blazor in .NET 9
Learn how to Integrate the OpenAI API within Blazor Applications and Implement the .NET Smart Components - AI powered UI Controls
Learn how to use Open Source Tools (Ollama) to Run Large Language Models in Blazor
Learn how to perform AI Image Analysis and connect the results to a Database
Learn how to perform AI Video Analysis from various sources including using a Webcam
Learn how to Record Audio and convert it to Text (transcription/translation) and take Text and convert it to Speech using OpenAI's Whisper model
Learn how to implement real-time speech-to-text capabilities in a Blazor Web App and send the transcribed text to other users via Email
Learn how to Scrape a Website and analyze the contents using AI in a Blazor Application
Learn how to implement AI in Blazor Hybrid Applications (Windows Desktop/Android/IOS)
Learn how to Generate SQL Queries via AI for use in Blazor Database Applications (Natural Language to SQL)
Learn how to implement RAG (Retrieval Augmented Generation) within a simple Blazor AI application
Learn how to implement the new Microsoft Agent Framework and work with Multi-Agent Workflows scenarios
Learn how to implementing Human in the Loop AI Agents using the Microsoft Agent Framework
Learn how to implement the new OpenAI Responses API
Learn how to add custom memory to the Microsoft Agent Framework. It enables AI agents to recall user preferences, and past interactions
Learn how to implement the Google Gemini LLM into a .NET MAUI Blazor Hybrid application which then allows you to integrate the Google Maps Tool
Learn about Authentication and Authorization in a .NET MAUI Blazor Hybrid Application
Learn about AG-UI (Agent User Interaction Protocol) and how to implement it in a Blazor Web App
Requirements
You should have a basic understanding of how to create simple web pages using HTML
Having some knowledge of CSS will help but it's not required
You should have a basic beginners understanding of C# (STRONGLY recommended)
You should have Beginners knowledge of ASP.NET and specifically the Blazor Framework
You should have access to the Visual Studio IDE for Windows ... Community Edition Version 2022/2026 (freely downloadable)
Description
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.
Who this course is for
Beginner ASP.NET developers who want to extend their skills related to implementing AI in Blazor specific applications
Experienced Developers who want to gain expertise in more advanced topics like Hybrid Applications (mobile/desktop/web) and AI implementations
Building Ai-Powered Blazor Applications
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 16h 42m | Size: 38.99 GB[/center]
A Practical and Beginner-Friendly Guide to Modern .NET AI Development using OpenAI, Local LLMs and MS Agent Framework
What you'll learn
Learn to create simple Blazor Hybrid (.NET MAUI) applications , extending the capabilities of .NET developers beyond the Web into desktop and mobile development
Learn about the concept of Localization. The the process of customizing applications to display and operate in the culture of the user.
Create simple applications that integrates Localization into Blazor WebAssembly, Server and .NET MAUI Blazor
Learn about the latest features and enhancements to Blazor in .NET 9
Learn how to Integrate the OpenAI API within Blazor Applications and Implement the .NET Smart Components - AI powered UI Controls
Learn how to use Open Source Tools (Ollama) to Run Large Language Models in Blazor
Learn how to perform AI Image Analysis and connect the results to a Database
Learn how to perform AI Video Analysis from various sources including using a Webcam
Learn how to Record Audio and convert it to Text (transcription/translation) and take Text and convert it to Speech using OpenAI's Whisper model
Learn how to implement real-time speech-to-text capabilities in a Blazor Web App and send the transcribed text to other users via Email
Learn how to Scrape a Website and analyze the contents using AI in a Blazor Application
Learn how to implement AI in Blazor Hybrid Applications (Windows Desktop/Android/IOS)
Learn how to Generate SQL Queries via AI for use in Blazor Database Applications (Natural Language to SQL)
Learn how to implement RAG (Retrieval Augmented Generation) within a simple Blazor AI application
Learn how to implement the new Microsoft Agent Framework and work with Multi-Agent Workflows scenarios
Learn how to implementing Human in the Loop AI Agents using the Microsoft Agent Framework
Learn how to implement the new OpenAI Responses API
Learn how to add custom memory to the Microsoft Agent Framework. It enables AI agents to recall user preferences, and past interactions
Learn how to implement the Google Gemini LLM into a .NET MAUI Blazor Hybrid application which then allows you to integrate the Google Maps Tool
Learn about Authentication and Authorization in a .NET MAUI Blazor Hybrid Application
Learn about AG-UI (Agent User Interaction Protocol) and how to implement it in a Blazor Web App
Requirements
You should have a basic understanding of how to create simple web pages using HTML
Having some knowledge of CSS will help but it's not required
You should have a basic beginners understanding of C# (STRONGLY recommended)
You should have Beginners knowledge of ASP.NET and specifically the Blazor Framework
You should have access to the Visual Studio IDE for Windows ... Community Edition Version 2022/2026 (freely downloadable)
Description
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.
Who this course is for
Beginner ASP.NET developers who want to extend their skills related to implementing AI in Blazor specific applications
Experienced Developers who want to gain expertise in more advanced topics like Hybrid Applications (mobile/desktop/web) and AI implementations
Code:
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