Zero to Hero in Ollama: Create Local LLM Applications

Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python
4.47 (318 reviews)
Udemy
platform
English
language
Data Science
category
Start-Tech Academy
instructor
Zero to Hero in Ollama: Create Local LLM Applications
9 218
students
3 hours
content
May 2025
last update
$69.99
regular price

What you will learn

Install and configure Ollama on your local system to run large language models privately.

Customize LLM models to suit specific needs using Ollama’s options and command-line tools.

Execute all terminal commands necessary to control, monitor, and troubleshoot Ollama models

Set up and manage a ChatGPT-like interface using Open WebUI, allowing you to interact with models locally

Deploy Docker and Open WebUI for running, customizing, and sharing LLM models in a private environment.

Utilize different model types, including text, vision, and code-generating models, for various applications.

Create custom LLM models from a gguf file and integrate them into your applications.

Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility.

Develop a RAG (Retrieval-Augmented Generation) application by integrating Ollama models with LangChain.

Implement tools and agents to enhance model interactions in both Open WebUI and LangChain environments for advanced workflows.

Course Gallery

Zero to Hero in Ollama: Create Local LLM Applications – Screenshot 1
Screenshot 1 – Zero to Hero in Ollama: Create Local LLM Applications
Zero to Hero in Ollama: Create Local LLM Applications – Screenshot 2
Screenshot 2 – Zero to Hero in Ollama: Create Local LLM Applications
Zero to Hero in Ollama: Create Local LLM Applications – Screenshot 3
Screenshot 3 – Zero to Hero in Ollama: Create Local LLM Applications
Zero to Hero in Ollama: Create Local LLM Applications – Screenshot 4
Screenshot 4 – Zero to Hero in Ollama: Create Local LLM Applications

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6179311
udemy ID
12/09/2024
course created date
23/09/2024
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