The Command-Line Toolkit
Install the essential system-level tools for modern AI engineering: Git for version control and Docker for reproducible environments
Before you write your first line of Python code, you need to establish a rock-solid foundation of system-level tools. Trust me on this - trying to build complex AI applications without a proper, reproducible environment is like trying to build a house on sand. You'll save yourself countless hours of frustration by getting this right from the start.
This tutorial will walk you through installing three absolutely essential command-line tools. We'll set up Git (your safety net for all code changes), Docker (your secret weapon for consistent environments). Each tool solves a critical problem you'll face as an AI engineer, and together they form the backbone of a professional workflow.
Tutorial Goals
- Understand why Git and Docker are essential for AI development
- Install the complete command-line toolkit for professional AI engineering
- Verify everything works with simple commands
- Build the foundation that every other academy tutorial depends on