Build Intelligent AI Applications Locally with Qwen 2.5

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.

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, on the other hand, 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. 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?

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

Course Content:

• Sections: 2
• Lectures: 11
• Duration: 1h 27m

Requirements:

• Basic Python knowledge (variables, functions, and loops)
• 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)

Who is it for?

• 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

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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