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AI Development with Qwen 2.5 & Ollama: Build AI Apps Locally (Udemy.com)

Build AI-powered applications locally using Qwen 2.5 & Ollama. Learn Python, FastAPI, and real-world AI development (AI)

Created by: School of AI

Last updated February 2026

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What you will learn

  • Set up and run Qwen 2.5 on a local machine using Ollama
  • Understand how large language models (LLMs) work
  • Build AI-powered applications using Python and FastAPI
  • Create REST APIs to interact with AI models locally
  • Integrate AI models into web apps using React.js
  • Optimize and fine-tune AI models for better performance
  • Implement local AI solutions without cloud dependencies
  • Use Ollama CLI and Python SDK to manage AI models
  • Deploy AI applications locally and on cloud platforms
  • Explore real-world AI use cases beyond chatbots

How it compares

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

  • Rating4.0 out of 5higher than 1% of them
  • Reviews167#364 of 462 by number of reviews
  • Length1.5 hoursshorter than 94% of them
  • Last updatedFebruary 2026more recently than 60% of them

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Course Description

Are you ready to build AI-powered applications locally without relying on cloud-based APIs? This hands-on course will teach you how to develop, optimize, and deploy AI applications using Qwen 2.5 and Ollama, two powerful tools for running large language models (LLMs) on your local machine.

With the rise of open-source AI models, developers now have the opportunity to create intelligent applications that process text, generate content, and automate tasks—all while keeping data private and secure. In this course, you’ll learn how to install, configure, and integrate Qwen 2.5 with Ollama, build FastAPI-based AI backends, and develop real-world AI solutions.

Why Learn Qwen 2.5 and Ollama?

Qwen 2.5 is a powerful large language model (LLM) developed by Alibaba Cloud, optimized for natural language processing (NLP), text generation, reasoning, and code assistance. Unlike traditional cloud-based models like GPT-4, Qwen 2.5 can run locally, making it ideal for privacy-sensitive AI applications.

Ollama is an AI model management tool that allows developers to run and deploy LLMs locally with high efficiency and low latency. With Ollama, you can pull models, run them in your applications, and fine-tune them for specific tasks—all without the need for expensive cloud resources.

This course is practical and hands-on, designed to help you apply AI in real-world projects. Whether you want to build AI-powered chat interfaces, document summarizers, code assistants, or intelligent automation tools, this course will equip you with the necessary skills.

Why Take This Course?

- Hands-on AI development with real-world projects
- No reliance on cloud APIs—keep your AI applications private & secure
- Future-proof skills for working with open-source LLMs
- Fast, efficient AI deployment with Ollama’s local execution

By the end of this course, you'll have AI-powered applications running on your machine, a deep understanding of LLMs, and the skills to develop future AI solutions. Are you ready to start building?

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Instructor Details

School of AI

We are your one-stop shop for all AI training needs. Since 2010, our expert instructors have been delivering top-tier education across cutting-edge technologies. Whether you’re a beginner or looking to advance your skills, our comprehensive training programs are designed to equip you with practical knowledge and real-world experience. From foundational AI concepts to advanced machine learning and deep learning techniques, we cover it all. Join us to gain hands-on expertise, guided by industry veterans committed to your success. Unlock your potential and stay ahead in the evolving world of artificial intelligence with training you can trust and results you can see.


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Reviews

4.0

167 ratings on Udemy

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By Mohsin Javaid on 6/16/2026

More details on Ollama and Qwen should have been added.

By 楚鈞 高 on 4/23/2026

對於概觀理解Ollama、Qwen 2.5、Python FastAPI、React(使用 CRA)的串接方式有幫助,但是針對後續的活用性,覺得稍嫌不足。 若是不懂 Python、FastAPI、React的人來說,可能會比較吃力一點,因為跟著老師的影片教學來做的話是可以做出來,後續能否自行做出來自己想要的內容,就得要靠個人功力了。 另外則是 React的教學仍然是使用 CRA,已經是過時了,官方貼文都改推薦使用 Vite來建立 React專案了。

By Jeremiah Juarizo Sarmiento on 1/27/2026

its good and it explains everything it shows line by line, i hope maybe slower on the coding for server.py and on the react side, it seems rushing a bit. but i guess i can watch the video over again. all in all its a great course for beginners

By Suneel Advani on 8/24/2025

I understand easily and some know knowledge about Qwen 2.5

By Abrar Bin Yousuf . on 7/14/2025

Great course with hands on stuff to get you up and running.

By Siddharth sharma on 5/11/2025

This Udemy course is excellent! The video and audio quality are both top-notch, making it easy to follow along. The instructor explains the concepts in a clear and simple manner, and I really appreciate that they get straight to the point without wasting any time. It's a fast-paced but effective way to learn. Highly recommended!

By Thansiri Paiboonwatanakul on 2/14/2025

Clear explanation, easy to understand.

By Pham Nguyen Duc Tin on 2/13/2025

Khoá học dạy những điều cơ bản, cần thiết cho người mới bắt đầu

By Hasan Maqsood on 2/11/2025

Learned so much about building AI application using LLMs. Thank you so much

By Harish kumar on 8/31/2025

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Overall Score : 80 / 100