Run Large Language Models Locally in Docker | How to Use Qwen 3 with .NET SK

Mon, 13 Oct 2025 05:46:07 +0000

In this video, we explore how to run Large Language Models (LLMs) locally using Docker — and connect the Qwen 3 model with .NET Semantic Kernel to build intelligent AI applications.

At CodeStreet, we focus on practical, developer-friendly tutorials that combine real-world tools with cutting-edge AI. In this hands-on session, you’ll learn exactly how to run Qwen 3 inside Docker, wire it up with .NET Semantic Kernel, and create AI-powered apps — all locally and for free.

What You’ll Learn:

✅ How to run Large Language Models (LLMs) locally using Docker
✅ How to install Qwen 3 inside a Docker container
✅ How to integrate Qwen 3 with .NET Semantic Kernel
✅ How to build intelligent apps using Qwen 3 + .NET
✅ How to use free Qwen 3 models for AI code generation and local experimentation

⚙️ Tools & Technologies Used:

Docker for containerized model deployment
Qwen 3 Model inside Docker
.NET 9 SDK
C# /.NET Console App for integration demo
Visual Studio Code

Why You Should Watch:

Running AI models locally gives you more control, privacy, and flexibility — no cloud dependencies or API rate limits.

This tutorial shows you how to bring Qwen 3 to life inside Docker and connect it seamlessly to .NET Semantic Kernel, enabling you to build local AI apps that understand, reason, and generate — without external API calls.

Resources Mentioned:

Source Code & Files: https://buymeacoffee.com/thecodestreet/e/458380
.NET Semantic Kernel Docs: https://learn.microsoft.com/semantic-kernel
Docker Desktop: https://www.docker.com

Who This Video Is For:

.NET Developers exploring AI integration
AI enthusiasts who want to run models locally
Engineers interested in open-source LLMs
Developers building AI apps with Semantic Kernel + Qwen3

How to Use QWEN 3 Coder with VS Code: Generate Note Taking App

Sun, 12 Oct 2025 04:42:44 +0000

In this video, we explore how to use Qwen 3 Coder inside Visual Studio Code to build a complete Note-Taking App — from idea to code generation!

What you’ll learn:

How to use Qwen 3 Coder effectively
How to integrate it with Visual Studio Code
How to generate apps automatically using Qwen 3 Coder (for free!)
Build your first Note-Taking App step-by-step

Perfect for developers exploring AI-powered coding and free model integrations inside VS Code.

⚙️ Tools & Technologies Used:

Visual Studio Code
Qwen 3 Coder (Open-source model)
Open Router
HTML, CSS, JavaScript

Why You Should Watch:

If you’ve ever wondered how developers are building apps faster using AI-assisted coding, this video gives you a practical demonstration — not just concepts.

You’ll learn how to leverage AI locally, improve your productivity, and generate project-ready code even without paid APIs.

Who This Video Is For:

Developers exploring AI code generation
Beginners who want to build apps with free models
Coders using VS Code and looking for productivity hacks
AI enthusiasts learning Qwen model family

Coder Legion - Recent posts tagged qwen-3-coder

Run Large Language Models Locally in Docker | How to Use Qwen 3 with .NET SK

What You’ll Learn:

⚙️ Tools & Technologies Used:

Resources Mentioned:

Who This Video Is For:

How to Use QWEN 3 Coder with VS Code: Generate Note Taking App

What you’ll learn:

⚙️ Tools & Technologies Used:

Why You Should Watch:

Who This Video Is For: