AI Janitor to AI Architect: The Production-Grade AI System

Go from unreliable prototypes to profitable, production-grade AI. The system to fix hallucinations and ship with confidence.

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Hosted by

Bartosz Mikulski

Built MLOps platform at Qwak ($230M exit) & data platform at Fandom (350M users)

Bartosz Mikulski

Built MLOps platform at Qwak ($230M exit) & data platform at Fandom (350M users)

Course overview

From AI Janitor to AI Architect

This is not a course; it's a career transformation. Go from a reactive AI Janitor, cleaning up the messes of unpredictable models, to a proactive AI Architect.

You'll master the systematic process to stop the frustrating guesswork of debugging black boxes and start building the trustworthy, production-grade AI that gets you promoted.

The official dates for this cohort will be finalized and announced exclusively to the Founding Members waitlist. The dates listed are for planning purposes only.

Who is this course for

For Senior AI/ML Engineers (5-10+ yrs exp) building production systems. If you feel more like a firefighter than an innovator, read on.

You're tired of the frustrating guesswork of 'black box' debugging. You're stuck wasting days on manual verification instead of doing R&D.

Your goal: become the AI Architect who leads mission-critical projects. This is your system to earn the promotion to Principal Engineer.

For Senior AI/ML Engineers (5-10+ yrs exp) building production systems. If you feel more like a firefighter than an innovator, read on.

You're tired of the frustrating guesswork of 'black box' debugging. You're stuck wasting days on manual verification instead of doing R&D.

Your goal: become the AI Architect who leads mission-critical projects. This is your system to earn the promotion to Principal Engineer.

Prerequisites

This is not a beginner's course. You should have professional experience building and deploying software systems in a language like Python.
Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and cloud platforms (AWS, GCP, Azure) is recommended.
You should be comfortable with software engineering fundamentals like version control (Git) and basic system design.

What you’ll get out of this course

Black Box Debugging System (Value: $1,997)

Find the root cause of any AI hallucination in minutes, not days. A step-by-step process to make the unpredictable, predictable.

Production Guardrail Blueprint (Value: $1,497)

A complete blueprint for building the automated safety checks that prevent catastrophic public failures. Ship with confidence.

Reliability Automation Blueprint (Value: $2,997)

Eliminate tedious, manual verification work with proven automation strategies and ready-to-use code repositories. Get your time back.

"Sleep-Through-the-Night" Protocol (Value: $497)

Build resilient AI that doesn't require emergency 3 AM fixes. Proactive monitoring and recovery techniques to end on-call anxiety.

The AI Troubleshooting Collective (Value: $1,997)

Get unstuck fast with direct access to me and a private community of elite peers via weekly group coaching and our private forum.

"Code & Architecture" Hot Seat Review (Value: $1,197)

Get your specific system or architecture personally reviewed by me in a live group setting. A private consultation at a group price.

Immediate Quick Win: The Production-Grade AI Pre-Flight Checklist (Value: $297)

On the first day, you'll get my private checklist to immediately audit your systems and prevent common failures.

What’s included

Live sessions

Learn directly from Bartosz Mikulski in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

My Iron-Clad Guarantee

Complete the course and attend all live sessions. If you don't get 10x value, I'll refund you in full and you can keep all the materials.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Lukasz Bakula

Business Consultant

I worked with Bartosz while he was a member of Data Engineering team at Fandom. He is very professional and open to share his knowledge with his teammates and beyond. His approach was always very data-driven and he has great knowledge in Data Engineering area what made him very valuable partner in discussions.

Martyna Urbanek-Trzeciak

Data Engineering Manager

Meet your instructor

Bartosz Mikulski

I'm not a theorist; I'm a practitioner who has been on-call at 3 AM for the exact failures this course teaches you to prevent.

I've built and debugged high-stakes systems at scale for companies like the MLOps platform at Qwak (acquired by JFrog for $230M) and the data platform at Fandom (350M+ users).

As a contributing author for O'Reilly and a speaker at international conferences like DevOpsDays and Berlin Buzzwords, my expertise is in turning unreliable AI into production-grade assets.

There are plenty of people who can explain machine learning theory. There are very few who have been on call at 3 AM because a production model they owned was failing silently. My entire career has been spent on the front lines of high-stakes, production AI.

I'm not teaching you concepts from a textbook; I'm giving you the battle-tested playbook I've built over a decade of solving these exact problems at scale. When you enroll, you get more than just content; you get access to a proven system built on years of real-world success.

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you