Build AI-powered applications locally using Qwen 2.5 & Ollama. Learn Python, FastAPI, and real-world AI development
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
Why take this course?
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 tasksβall while keeping data private and secure. In this course, youβll 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 tasksβall 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 APIsβkeep your AI applications private & secure
– Future-proof skills for working with open-source LLMs
– Fast, efficient AI deployment with Ollamaβs 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?