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Unlock Your Skills in AI Development with Qwen 2.5 & Ollama!

Enroll in this Free Udemy Course and learn to build AI applications locally with Qwen 2.5 & Ollama! Sign up now!

Welcome to the comprehensive course on AI Development with Qwen 2.5 and Ollama! This course is tailored for anyone interested in harnessing the power of AI technology to build applications locally on their machines. You will embark on a practical journey where you will learn to develop AI-driven applications without the dependency on cloud-based APIs, allowing your projects to remain private and secure. The course is designed for both beginners and those with some prior knowledge and will arm you with the skills to optimize and deploy AI solutions effectively.

Throughout the course, you will get hands-on experience with crucial tools like Python, FastAPI, and more, culminating in the ability to create REST APIs and integrate AI into your web applications using React.js. Each section is packed with video content, downloadable resources, and real-world applications, ensuring your learning is not only theoretical but practical and applicable in today’s tech landscape.

Prepare to understand how large language models (LLMs) function and learn methods to optimize these models for various applications, from chatbots to document automations. By the end of this journey, you will have developed deep insights into AI application creation, allowing you to employ these cutting-edge technologies in innovative and impactful ways.

What you will learn:

  • Set up and run Qwen 2.5 on a local machine using Ollama
  • Build AI-powered applications using Python and FastAPI
  • Deploy AI applications locally and on cloud platforms

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)

Who is it for?

  • Python developers looking to integrate AI into their projects
  • AI/ML beginners eager to learn hands-on AI development
  • Software engineers who want to build LLM-based applications
  • Tech entrepreneurs exploring AI-powered solutions

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