Master Local AI Development: Qwen 2.5 & Ollama

What you will learn:

Set up and run Qwen 2.5 locally using Ollama
Master Large Language Model (LLM) fundamentals
Develop AI applications using Python and FastAPI
Create secure REST APIs for local AI model interaction
Integrate AI models into web interfaces with React.js
Optimize and fine-tune LLMs for enhanced performance
Deploy AI solutions independently of cloud platforms
Utilize Ollama's CLI and Python SDK for model management
Deploy AI applications to local and cloud environments
Explore diverse real-world AI applications beyond chatbots

Description

Revolutionize your AI development workflow! This comprehensive course empowers you to build and deploy sophisticated AI applications entirely locally, eliminating cloud API dependencies and ensuring data privacy. You'll master Qwen 2.5, a cutting-edge large language model (LLM) from Alibaba Cloud, and leverage Ollama for efficient local LLM management.

Learn to harness the power of Python and FastAPI to create robust AI backends, seamlessly integrating your models into web applications with React.js. This hands-on training delves into optimizing and fine-tuning Qwen 2.5 within Ollama for peak performance, covering everything from installation and configuration to deployment strategies for both local and cloud environments.

This course goes beyond basic chatbot creation. Discover practical applications of local AI across various domains: build intelligent automation tools, create efficient document summarizers, design advanced chat interfaces, and even craft powerful AI-driven code assistants. Unlock the potential of open-source LLMs and gain a competitive edge in the rapidly evolving field of AI.

What makes this course unique?

• Complete Local AI Development: Build, optimize, and deploy entirely on your machine.
• Secure & Private AI: Maintain complete control over your data and avoid cloud API limitations.
• Hands-On Projects: Develop real-world applications from start to finish.
• Master Qwen 2.5 & Ollama: Gain proficiency with industry-leading tools.
• Future-Proof Skills: Prepare for the latest advancements in open-source AI.

Join us and embark on your journey to becoming a proficient local AI developer! Enroll now and unlock the power of offline AI.

Curriculum

Deep Dive into Qwen 2.5 and Ollama

This foundational section begins by introducing Qwen 2.5, comparing its capabilities to other leading LLMs like Llama 3, GPT-4, and Mistral. You'll gain a thorough understanding of Ollama, its functionalities, and how it seamlessly integrates with Qwen 2.5 for efficient local execution. The lectures cover the 'why' behind using Ollama for local model deployment and how both technologies work together. A concise summary is followed by a Python refresher, ensuring all participants are prepared for the hands-on projects to come.

Building an AI-Powered Chatbot

This section focuses on the practical application of the learned concepts by guiding you through the development of a functional AI-powered chatbot. Starting with an overview, it moves to setting up the necessary development environment. You'll learn to construct a robust chatbot backend using FastAPI, the popular Python web framework, and then create a user-friendly React.js frontend for seamless interaction. This step-by-step process provides a solid foundation for building more advanced AI applications.