Requirements

• Basic Python knowledge and a computer capable of running Docker and Ollama are recommended
• but no prior AI experience is required.

Description

Are you looking to build and run customized large language models (LLMs) right on your own system, without depending on cloud solutions? Do you want to maintain privacy while leveraging powerful models similar to ChatGPT? If you're a developer, data scientist, or an AI enthusiast wanting to create local LLM applications, this course is for you!

This hands-on course will take you from beginner to expert in using Ollama, a platform designed for running local LLM models. You’ll learn how to set up and customize models, create a ChatGPT-like interface, and build private applications using Python—all from the comfort of your own system.

In this course, you will:

• Install and customize Ollama for local LLM model execution

• Master all command-line tools to effectively control Ollama

• Run a ChatGPT-like interface on your system using Open WebUI

• Integrate various models (text, vision, code generation) and even create your own custom models

• Build Python applications using Ollama and its library, with OpenAI API compatibility

• Leverage LangChain to enhance your LLM capabilities, including Retrieval-Augmented Generation (RAG)

• Deploy tools and agents to interact with Ollama models in both terminal and LangChain environments

Why is this course important? In a world where privacy is becoming a greater concern, running LLMs locally ensures your data stays on your machine. This not only improves data security but also allows you to customize models for specialized tasks without external dependencies.

You’ll complete activities like building custom models, setting up Docker for web interfaces, and developing RAG applications that retrieve and respond to user queries based on your data. Each section is packed with real-world applications to give you the experience and confidence to build your own local LLM solutions.

Why this course? I specialize in making advanced AI topics practical and accessible, with hands-on projects that ensure you’re not just learning but actually building real solutions. Whether you’re new to LLMs or looking to deepen your skills, this course will equip you with everything you need.

Ready to build your own LLM-powered applications privately? Enroll now and take full control of your AI journey with Ollama!

Who this course is for:

• AI enthusiasts who want to build and run customized LLM models privately on their local systems.
• Python developers seeking to integrate large language models into local applications for enhanced functionality.
• Data scientists who aim to create secure
• private LLM-powered tools without relying on cloud-based solutions.
• Machine learning engineers looking to explore and customize open-source models using Ollama and LangChain.
• Tech professionals who want to develop RAG (Retrieval-Augmented Generation) applications using local data.
• Privacy-conscious developers interested in running AI models with full control over data and environment.