Ghostuniversity

FEB 2027 · 3 TO 4:30PM CT

How to Become a Production-Ready AI Engineer

It's not just building AI systems. It's using AI to build anything: traditional workflows, data pipelines, software, and websites, on reliable, repeatable infrastructure that covers security, data, ops, and compliance.

You produce a real project for your resume and portfolio.

6 live Tuesdays · recordings · Ghostuniversity

Looking for the AI Agency cohort? See the November program.

NEXT 15 SEATS

$1,498

$1,298

Code AIENGFEB27FIRST15

$200 off the first 15

Feb 2 to Mar 9 2027 · 3 to 4:30pm CT

What you'll build

Ship real work on infrastructure that holds up

Leave with the judgment and patterns to stand up production-ready systems, not one-off demos.

  • Reliable AI-backed workflows

    Replace fragile manual processes with repeatable automations you can monitor and hand off.

  • Data pipelines and software

    Use AI to move faster on pipelines, services, and product surfaces without skipping security or ops.

  • Sites and internal tools

    Ship websites and tools on the same disciplined stack: environments, secrets, logging, and rollback.

The 6 weeks

  1. Week 1 · Tue Feb 2

    The Infrastructure

    DRAFT: Lay down the foundation every production system needs: environments, secrets, networking, and the defaults that keep AI-assisted builds from becoming fragile one-offs.

  2. Week 2 · Tue Feb 9

    The System

    DRAFT: Design the system shape before the prompts. How services talk, where state lives, and how you use AI to build traditional software and workflows on that spine.

  3. Week 3 · Tue Feb 16

    The Data and Security

    DRAFT: Treat data and security as first-class. Access control, retention, redaction, and the patterns that keep customer data safe when AI is in the loop.

  4. Week 4 · Tue Feb 23

    The Ops

    DRAFT: Run what you ship. Logging, alerts, deploys, rollback, and the ops loop that makes AI-built systems operable on a Tuesday night, not only in a demo.

  5. Week 5 · Tue Mar 2

    The Compliance

    DRAFT: Local AI, regulations, and practical compliance. When to keep models and data on your metal, and how to document controls buyers and auditors actually ask for.

  6. Week 6 · Tue Mar 9

    The End Goal

    DRAFT: Put it together. A production-ready path from idea to running system, with a clear bar for "done" and a backlog you can keep shipping after the cohort.

Included

  • 6 live sessions (Tue · 3 to 4:30pm CT)
  • Recordings of every session
  • Week-by-week production curriculum (infra → compliance)
  • Ghostuniversity framing: foundations and electives, real projects, pass by providing value
  • A real project for your resume and portfolio: proof of production work

For you if…

  • You want to use AI to build real systems, not only chat demos
  • You care about security, data, ops, and compliance as part of the build
  • You can join live Tuesdays or work from recordings
  • You want Ghostuniversity-style training: no gen eds, real projects, value as the bar
  • You want a real project that strengthens your resume and portfolio

Skip if…

  • You only want a done-for-you build with no learning
  • You want prompt tips without infrastructure
  • You need weekly 1:1 (see 1:1 coaching on /shop)

Schedule

  • Six Tuesdays: Feb 2, Feb 9, Feb 16, Feb 23, Mar 2, Mar 9 2027
  • 3 to 4:30pm CT each session
  • All sessions fall before the Mar 14 2027 US DST change, so CT = CST for this cohort
Feb 2Feb 9Feb 16Feb 23Mar 2Mar 9

FAQ

Ghostuniversity

Ready to build production-ready systems with AI?

NEXT 15 SEATS

$1,498

$1,298

Code AIENGFEB27FIRST15

$200 off the first 15

Feb 2 to Mar 9 2027 · 3 to 4:30pm CT

Secure your seat Book a 15 min call for any questions

You produce a real project for your resume and portfolio.

All purchases are final. There are no refunds.

Prefer go-to-market training first? See the AI Agency cohort.

Secure your seat

You produce a real project for your resume and portfolio.

All purchases are final. There are no refunds.

Book a 15 min call for any questions