Zero to Hero in Ollama: Create Local LLM Applications

Zero to Hero in Ollama: Create Local LLM Applications

Course Overview

This course is designed to take you from a complete beginner to a proficient user of Ollama, an open-source framework for running and deploying local large language models (LLMs) efficiently. You will learn how to install, configure, and use Ollama to build AI-powered applications without relying on cloud-based services. By the end of this course, you will be able to integrate local LLMs into your own projects and deploy them with Web UIs, APIs, and automation tools.

What You'll Learn

✅ Introduction to Ollama – Understanding local LLMs, advantages, and use cases
✅ Installing and Configuring Ollama – Setting up your environment on Windows, macOS, and Linux
✅ Running Local LLMs – Loading and using models such as Llama, Mistral, Gemma, and Mixtral
✅ Interacting with LLMs – Running models via the command line, API calls, and Python scripts
✅ Building AI Applications – Creating chatbots, document analyzers, and AI-powered tools
✅ Deploying a Web UI – Setting up an open-source Web UI to interact with local models
✅ Optimizing Performance – Managing GPU acceleration, quantization, and memory usage
✅ Integrating with Other Tools – Using Ollama with LangChain, Open Web UI, and FastAPI

Course Modules

Module 1: Introduction to Local LLMs & Ollama

• What is a Local LLM?
• Introduction to Ollama
• Benefits of Running LLMs Locally

Module 2: Setting Up Ollama

• Installing Ollama on macOS, Windows, and Linux
• Downloading and Running Pre-trained Models
• Configuring Hardware for Optimal Performance

Module 3: Using Ollama for AI Tasks

• Running Models from the Command Line
• Querying Models via API Requests
• Writing Python Scripts to Interact with Ollama

Module 4: Building Applications with Local LLMs

• Creating a Local AI Chatbot
• Document Summarization and Question-Answering
• Image & Text Generation with Local Models

Module 5: Deploying a Web UI for LLMs

• Setting Up Ollama Web UI
• Using Open Web UI for Interaction
• Customizing Web Interfaces

Module 6: Advanced Topics

• Using Ollama with LangChain & FastAPI
• Fine-tuning Local LLMs
• Automating AI Workflows

Resources & Links

• Ollama Official Website: https://ollama.com
• Ollama GitHub: https://github.com/ollama/ollama
• Open Web UI (for LLMs): https://github.com/open-webui/open-webui

How to Open Web UI for Ollama

1. Install Open Web UI

   git clone https://github.com/open-webui/open-webui.git
   cd open-webui
   docker compose up -d
   

2. Access the Web UI

   • Open your browser and go to:
     http://localhost:3000

3. Connect to Ollama

   • Go to Settings and set Ollama as the backend.
   • Start chatting with your local LLM!

Who Should Take This Course?

✔️ Developers & AI Enthusiasts who want to run local LLMs
✔️ Privacy-focused users who prefer offline AI applications
✔️ Engineers looking to integrate AI-powered tools into their projects
✔️ Anyone interested in LLMs without cloud dependencies

Enroll Now & Go from Zero to Hero in Ollama!