Setup Your Environment
Stop fighting dependency hell. Master the modern, high-speed Python workflow using uv, Docker, and Git. Initialize your workspace and verify it with a data processing test.
You cannot build robust AI systems on a fragile foundation.
As a developer, you can lose hours fighting "dependency hell" - conflicting Python versions, broken environments, and the classic "it works on my machine" bug. Let's skip that phase entirely.
In this tutorial, you will configure a real-world development environment. We are discarding legacy tools for the modern high-speed stack: uv for instant package management, Docker for production parity, and Git for version control.
This is the foundation that will power every project you build in this Academy.
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
Let's Get You Set Up
- 01All 6 modules · 40+ hands-on tutorials
- 02Source code, repositories, and architecture diagrams
- 03Portfolio artifacts: apps, APIs, eval reports, dashboards, capstones
- 04Live sessions + every recording
- 05Discord community access
- 06Certificate of completion with public verification URL
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