Welcome to this hands-on series on building local LLM applications with Ollama!
In this guide, you’ll discover how to leverage Ollama to run, customize, and experiment with powerful large language models (LLMs) directly on your own machine — completely free of charge.
Whether you're a developer, AI engineer, machine learning practitioner, or just curious about how LLMs work under the hood, this series will walk you through every essential step — from setup to building real-world applications.
Table of Contents
Install and Set Up Ollama
Install and Set Up Ollama
Using Ollama via CLI and REST API
Common Ollama CLI Commands => Using Common Ollama CLI Commands
Downloading and Testing Models with Ollama
Using Multimodal Models for Image Captioning
Customizing Models with Modelfile => Customizing Models with a Modelfile
Generating and Chatting with REST API Endpoints => Generating and Chatting via REST API Endpoints
User Interfaces for Ollama Models
Integrating Ollama with Third-Party Frontend Tools
Working with Ollama in Python
Using Python to Call Ollama REST API
Using Python Functions with the Ollama Library
This isn’t just theory — it’s a hands-on, step-by-step journey into building real local AI applications. You’ll not only learn how LLMs work, but actually build something meaningful using open tools and your own machine.