In this video, you’ll learn **how to install Ollama on Windows 11 step by step** and start running powerful AI models **locally on your own PC**. Ollama makes it incredibly easy to download, manage, and run large language models (LLMs) without relying on cloud services, subscriptions, or constant internet access. If you’re interested in **local AI**, **privacy-focused AI workflows**, or experimenting with **open-source AI models**, this tutorial is perfect for you.
We’ll walk through the complete installation process of Ollama on Windows 11, including system requirements, downloading Ollama, verifying the installation, and running your first AI model locally. You’ll also see how to interact with models directly from the command line and understand how Ollama handles model management behind the scenes.
Running AI models locally has several advantages: better privacy, lower long-term costs, faster responses (depending on your hardware), and full control over your data. In this tutorial, I’ll explain how Ollama allows you to run popular models like LLaMA-based models efficiently on Windows, making it an excellent choice for developers, AI enthusiasts, students, and creators.
This video is beginner-friendly and does not require prior experience with AI or machine learning. Even if you’ve never worked with local AI models before, you’ll be able to follow along and get Ollama running smoothly on your Windows 11 machine. If you’re a developer, you’ll also appreciate how Ollama ca
|
🔥Cyber Security Expert Masters Program -...
🔥Data Analyst Masters Program (Discount ...
Digital sovereignty is now a board‑level...
🔥Cyber Security Expert Masters Program -...
🔥 Explore Certifications by Simplilearn ...
How to Install Flutter on Windows 11 | A...
Want to make real money with coding? I s...
Download your free Python Cheat Sheet he...
How to Install & Run Claude Code on Wind...
Download your free Python Cheat Sheet he...
This talk was recorded at NDC London in ...
Building a Carbon Impact Agent: Boosting...
This talk was recorded at NDC London in ...
This talk was recorded at NDC London in ...