AI Development with Qwen 2.5 & Ollama: Build AI Apps Locally

Course Overview

• Course Title: AI Development with Qwen 2.5 & Ollama: Build AI Apps Locally
• Instructor: Vivian Aranha
• Target Audience:
  • Developers
  • IT professionals
  • AI enthusiasts
  • Students with basic Python knowledge
• Prerequisites:
  • Basic Python knowledge (variables, functions, and loops)
  • 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)

Curriculum Highlights

• Key Topics Covered:
  • Setting up and running Qwen 2.5 on a local machine using Ollama
  • Understanding how large language models (LLMs) work
  • Building AI-powered applications using Python and FastAPI
  • Creating REST APIs to interact with AI models locally
  • Integrating AI models into web apps using React.js
  • Optimizing and fine-tuning AI models for better performance
  • Implementing local AI solutions without cloud dependencies
  • Using Ollama CLI and Python SDK to manage AI models
  • Deploying AI applications locally and on cloud platforms
  • Exploring real-world AI use cases beyond chatbots
• Key Skills Learned:
  • Local AI application development
  • Large language model (LLM) management
  • Python and FastAPI for AI backends
  • REST API creation for AI models
  • Integration of AI models with web applications
  • AI model optimization and fine-tuning
  • Deployment of AI applications

Course Format

• Duration: 1 hour on-demand video
• Format: Self-paced online course
• Resources:
  • 3 downloadable resources
  • Access on mobile and TV
  • Certificate of completion