Build AI-powered applications locally using Qwen 2.5 & Ollama. Learn Python, FastAPI, and real-world AI development
Sub Category
- Data Science
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Objectives
- 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
Pre Requisites
- 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)
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)