Getting Started with AI Engineering
Welcome to the world of AI Engineering! This guide will help you set up your first production-ready AI pipeline.
Prerequisites
- Basic understanding of Python
- Familiarity with machine learning concepts
- Git installed on your system
Step 1: Set Up Your Environment
# Create a new virtual environment
python -m venv ai-venv
source ai-venv/bin/activate # On Windows: .\ai-venv\Scripts\activate
# Install essential packages
pip install pandas scikit-learn tensorflow torch
Step 2: Create Your First Pipeline
- Set up a new project structure
- Create a basic data loading module
- Implement a simple model training script
- Add evaluation metrics
Next Steps
- Explore our AI Engineering section for advanced topics
- Check out our case studies
- Learn about deployment best practices