Construct AI-powered purposes domestically utilizing Qwen 2.5 & Ollama. Study Python, FastAPI, and real-world AI growth
What you’ll be taught
Arrange and run Qwen 2.5 on an area machine utilizing Ollama
Perceive how massive language fashions (LLMs) work
Construct AI-powered purposes utilizing Python and FastAPI
Create REST APIs to work together with AI fashions domestically
Combine AI fashions into internet apps utilizing React.js
Optimize and fine-tune AI fashions for higher efficiency
Implement native AI options with out cloud dependencies
Use Ollama CLI and Python SDK to handle AI fashions
Deploy AI purposes domestically and on cloud platforms
Discover real-world AI use circumstances past chatbots
Why take this course?
Are you able to construct AI-powered purposes domestically with out counting on cloud-based APIs? This hands-on course will educate you find out how to develop, optimize, and deploy AI purposes utilizing Qwen 2.5 and Ollama, two highly effective instruments for operating massive language fashions (LLMs) in your native machine.
With the rise of open-source AI fashions, builders now have the chance to create clever purposes that course of textual content, generate content material, and automate duties—all whereas retaining knowledge non-public and safe. On this course, you’ll learn to set up, configure, and combine Qwen 2.5 with Ollama, construct FastAPI-based AI backends, and develop real-world AI options.
Why Study Qwen 2.5 and Ollama?
Qwen 2.5 is a robust massive language mannequin (LLM) developed by Alibaba Cloud, optimized for pure language processing (NLP), textual content era, reasoning, and code help. In contrast to conventional cloud-based fashions like GPT-4, Qwen 2.5 can run domestically, making it excellent for privacy-sensitive AI purposes.
Ollama is an AI mannequin administration instrument that enables builders to run and deploy LLMs domestically with excessive effectivity and low latency. With Ollama, you may pull fashions, run them in your purposes, and fine-tune them for particular duties—all with out the necessity for costly cloud assets.
This course is sensible and hands-on, designed that can assist you apply AI in real-world initiatives. Whether or not you need to construct AI-powered chat interfaces, doc summarizers, code assistants, or clever automation instruments, this course will equip you with the mandatory abilities.
Why Take This Course?
– Fingers-on AI growth with real-world initiatives
– No reliance on cloud APIs—preserve your AI purposes non-public & safe
– Future-proof abilities for working with open-source LLMs
– Quick, environment friendly AI deployment with Ollama’s native execution
By the top of this course, you’ll have AI-powered purposes operating in your machine, a deep understanding of LLMs, and the abilities to develop future AI options. Are you prepared to begin constructing?
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