Run GPT-OSS Locally with Ollama: A Practical Guide

About this course

Artificial Intelligence is no longer just a cloud-based service — with the right tools, you can run powerful AI models directly on your own computer. In this course, you’ll learn how to set up, run, and customize Llama 3.2 and other open-source GPT-style models locally using Ollama.

We’ll start with the basics — installing Ollama, downloading and running different AI models, and understanding how local AI works compared to cloud-based solutions. Then, we’ll move into practical skills like prompt engineering, model configuration, and hardware optimization so you can get the best performance from your setup.

You’ll also learn how to integrate these models into your own applications, from simple scripts to full AI-powered tools. The course covers real-world examples, troubleshooting tips, and customization options that allows you to tailor the AI’s behavior to your needs.

By the end of this course, you will:

• Confidently run Llama 3.2 and other models locally
• Customize models for speed, accuracy, and task-specific results
• Build AI-powered applications without relying on cloud APIs
• Build RAG based chatbot
• Learn different types of vector database like Pinecone
• Learn the concepts of RAG and embedding models

Whether you’re a developer, AI enthusiast, or researcher, this course will give you the hands-on experience you need to master local AI and start building intelligent applications — all from your own machine.

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