Ai Development With Qwen 2.5 & Ollama: Build Ai Apps Locally

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

What you'll 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

Requirements

Basic Python knowledge (variables, functions, and loops) - If you do not have - we will cover basic Python

Familiarity with APIs (REST APIs, JSON data handling)

Basic command-line skills (running scripts, installing packages)

A computer with macOS, Windows, or Linux (for local AI setup)

Internet connection (to download Qwen 2.5 and dependencies)

Optional: Basic knowledge of JavaScript/React (for UI development)

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 executionBy 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?

Overview

Section 1: Deep Dive intoQwen 2.5

Lecture 1 What is Qwen 2.5?

Lecture 2 Qwen 2.5 vs. Other Models - Llama3, GPT-4, Mistral

Lecture 3 What is Ollama?

Lecture 4 Why Use Ollama?

Lecture 5 How Do Qwen 2.5 & Ollama Work Together?

Lecture 6 Summary of Deep Dive intoQwen 2.5

Section 2: AI-Powered Chatbot with Qwen 2.5 and Ollama

Lecture 7 What You Will Learn

Lecture 8 Environment Setup

Lecture 9 Building the Chatbot Backend (FastAPI)

Lecture 10 Building the React Frontend

Python developers looking to integrate AI into their projects,Software engineers who want to build LLM-based applications,AI/ML beginners eager to learn hands-on AI development,Full-stack developers wanting to integrate AI with web apps,Tech entrepreneurs exploring AI-powered solutions,Students & researchers interested in local AI model execution