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