Mastering Ollama: Build Private Local LLM Apps with Python

Run custom Ollama LLMs privately on your system—Use ChatGPT-like UI—Hands-on projects—No cloud or extra costs required
4.68 (273 reviews)
Udemy
platform
English
language
Data Science
category
Paulo Dichone | Software
instructor
Mastering Ollama: Build Private Local LLM Apps with Python
2 292
students
3.5 hours
content
Nov 2024
last update
$84.99
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, allowing you to interact with models locally.

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

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

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

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

Implement tools and function calling to enhance model interactions for advanced workflows.

Set up a user-friendly UI frontend to allow users to interface and chat with different Ollama models.

Course Gallery

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Enrollment Distribution
6123319
udemy ID
12/08/2024
course created date
19/10/2024
course indexed date
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Mastering Ollama: Build Private Local LLM Apps with Python - | Comidoc