ed-donner/production

Repo for my course on Generative AI and Agentic AI in Production

What it solves

It addresses the challenge of moving generative AI and agentic AI from prototypes into production systems that can scale, in a structured 4-week learning path.

How it works

The repo is organized by course weeks, with each week holding day-by-day guides. It includes essential guides on topics like Git and GitHub, and a community contributions folder where students can share deployed projects. Learners are encouraged to pull updates regularly.

Who it's for

It's for developers, engineers, and technical leaders who want practical, hands-on experience deploying Gen AI and Agentic AI at scale, likely on AWS, with guidance from the instructor and community.

Highlights

  • 4-week structured curriculum broken into weekly folders with daily guides
  • Supplementary guides in the guides folder, including Git/GitHub basics
  • A community contributions folder for sharing deployed projects and experiences
  • Instructor support via Udemy and LinkedIn, with an encouragement to tag him for amplification

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