Skip to content
Write a review
UdemyData SciencePaid courseAll LevelsCertificate

Build local LLM applications using Python and Ollama (Udemy.com)

Learn to create LLM applications in your system using Ollama and LangChain in Python | Completely private and secure

4.5
1,026 reviews

Created by: Start-Tech Academy

Last updated September 2026

icon
What you will learn

  • Download and install Ollama for running LLM models on your local machine
  • Set up and configure the Llama LLM model for local use
  • Customize LLM models using command-line options to meet specific application needs
  • Save and deploy modified versions of LLM models in your local environment
  • Develop Python-based applications that interact with Ollama models securely
  • Call and integrate models via Ollama’s REST API for seamless interaction with external systems
  • Explore OpenAI compatibility within Ollama to extend the functionality of your models
  • Build a Retrieval-Augmented Generation (RAG) system to process and query large documents efficiently
  • Create fully functional LLM applications using LangChain, Ollama, and tools like agents and retrieval systems to answer user queries

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews1,026#150 of 462 by number of reviews
  • Length2 hoursshorter than 89% of them
  • Last updatedSeptember 2026more recently than 93% of them

icon
Course Description

If you are a developer, data scientist, or AI enthusiast who wants to build and run large language models (LLMs) locally on your system, this course is for you. Do you want to harness the power of LLMs without sending your data to the cloud? Are you looking for secure, private solutions that leverage powerful tools like Python, Ollama, and LangChain? This course will show you how to build secure and fully functional LLM applications right on your own machine.

In this course, you will:

  • Set up Ollama and download the Llama LLM model for local use.

  • Customize models and save modified versions using command-line tools.

  • Develop Python-based LLM applications with Ollama for total control over your models.

  • Use Ollama's Rest API to integrate models into your applications.

  • Leverage LangChain to build Retrieval-Augmented Generation (RAG) systems for efficient document processing.

  • Create end-to-end LLM applications that answer user questions with precision using the power of LangChain and Ollama.

Why build local LLM applications? For one, local applications ensure complete data privacy—your data never leaves your system. Additionally, the flexibility and customization of running models locally means you are in total control, without the need for cloud dependencies.

Throughout the course, you’ll build, customize, and deploy models using Python, and implement key features like prompt engineering, retrieval techniques, and model integration—all within the comfort of your local setup.

What sets this course apart is its focus on privacy, control, and hands-on experience using cutting-edge tools like Ollama and LangChain. By the end, you’ll have a fully functioning LLM application and the skills to build secure AI systems on your own.

Ready to build your own private LLM applications? Enroll now and get started!
Read More All Levels All Levels product length iconTime: 2h

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Get the Udemy discount

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

Start-Tech Academy

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. 
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. 

Founded by Abhishek Bansal and Pukhraj Parikh.

Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.

Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.


Read More

icon
More courses by Start-Tech Academy

$109.99

$129.99

$19.99

$84.99

$14.99

$109.99

All courses by Start-Tech Academy

icon
More Data Science courses

Free

Free

Free

Free

$124.99

Free

All Data Science courses

icon
Reviews

4.5

1,026 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Norman Pepe on 6/21/2026

Ive studied cloud computing but I needed something local in the field that I'm in. This is well presented so far and exactly what I was looking for.

By Kimberly Brown on 5/28/2026

Lectures were right-sized for learning consumption. I did not get lost from one lecture to the next. Choices in the learning examples, such as building a tool that did not require an API key, was helpful in understanding why code snippets were crafted as they were for instruction. Explanation of why code examples were built in the sequence was also helpful.

By Tim De Raeve on 5/20/2026

Great course for the basics of running a local llm, only hoped it would go a little deeper into what more possibilities are

By Michael Nierla on 5/10/2026

I really liked this course. It had a good mix of theory and practice. The explanations were easy to follow and the exercise made fun. My only point of critique are the outdated Jupyter-notesbooks. I had several issues with deprecated packages and api-issues with wikipedia. So please, keep the notebooks up-to-date.

By S. Smith on 4/8/2026

This was an excellent intro for Ollama and Langchain. All code, examples and instructions worked well and matched the available software versions (reviewed April 2026.)

By Bikash Kumar Sinha on 3/21/2026

I would like to suggest using a dark background color in your slides. It helps when we are going through the course at night.

By Daniel McEwan on 12/29/2025

A lot of the syntax is out of date. Also sometimes he tells you to use a library that has not been installed.

By Anonymized User on 12/8/2025

This course is golden, it explains key topics to get started with python and AI. ie. it contains simple minimal python code to demostrate on how use python for various AI use cases. After this course, I feel confident for the way forward with python and AI.

By Anonymized User on 11/20/2025

Good explanation of how we can make use of Ollama to create our local RAG model, AI agent and tools. Easy to follow for a beginner.

By George Hansper on 11/12/2025

This course was exactly what I needed to de-mystify all the popular jargon around AI tools - it explained Small Language Models, RAG, Lang-Chain, and got me started with using ollama to run AI models locally Everything was described straight and to the point. Well done.

Showing all 10 reviews on CourseDuck

Read all 1,026 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 90 / 100

Build local LLM applications using Python and Ollama
Visit course on Udemy Write a review
  • Video Duration: icon 2h
  • Price: $54.99
  • Provider: icon Udemy
  • Updated: icon September 2026
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
30-day money-back guarantee on most paid courses

Udemy Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com