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The AI Reliability System

Cohort-based Course

A step-by-step system for fixing and preventing AI hallucinations. Build the reliable, production-grade AI systems.

Course overview

From an AI Janitor to an AI Architect

This course transforms you from a reactive AI Janitor, constantly cleaning up the messes of an unpredictable model, into a proactive AI Architect.


You will go from the frustrating guesswork of debugging a black box to confidently implementing a systematic process for building trustworthy, production-grade AI. You'll stop being the person who 'fixes things' and become the go-to technical leader who architects reliable systems, leads mission-critical projects, and accelerates your career.


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

01

For experienced Senior AI/ML & Software Engineers (5-10 yrs) building production AI.

02

You're tired of the frustrating 'black box' debugging. You're stuck firefighting and wasting days on manual verification.

03

Your goal is to become an AI Architect of trustworthy systems, lead high-impact projects, and earn a promotion to a Principal role.

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

A step-by-step Black Box Debugging System to find the root cause of any AI hallucination in minutes, not days.

Production Guardrail Blueprint

The complete Production Guardrail Blueprint for building automated safety checks that prevent catastrophic failures and ensure compliance.

Reliability Automation Blueprint

A proven Reliability Automation Blueprint, including code repositories, to eliminate the tedious, manual work of verifying AI outputs.

"Sleep-Through-the-Night" Protocol

The "Sleep-Through-the-Night" Protocol of proactive monitoring and recovery techniques to build resilient AI systems that don't require late-night emergency fixes.

The AI Troubleshooting Collective

Direct access to me and a community of elite peers in The AI Troubleshooting Collective to solve your specific challenges in real-time via our private community and weekly group coaching calls.

"Code & Architecture" Hot Seat Review

The "Code & Architecture" Hot Seat Review, a monthly opportunity to get your specific system reviewed directly by me in a group setting.

What’s included

Bartosz Mikulski

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.

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

Week 1

Oct 31—Nov 2
    Nothing scheduled for this week

Week 2

Nov 3—Nov 9
    Nothing scheduled for this week

Week 3

Nov 10—Nov 16
    Nothing scheduled for this week

Week 4

Nov 17—Nov 23
    Nothing scheduled for this week

Week 5

Nov 24—Nov 29
    Nothing scheduled for this week

What people are saying

        Bartosz is superb in sharing knowledge and solving problems. I appreciate a lot his value oriented approach. He simplifies what's complicated and he puts focus into things that matter the most.
Lukasz Bakula

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 

Martyna Urbanek-Trzeciak 

Data Engineering Manager

Meet your instructor

Bartosz Mikulski

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.

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Be the first to know about upcoming cohorts

The AI Reliability System

Learning is better with cohorts

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

A pattern of wavy dots

Be the first to know about upcoming cohorts

The AI Reliability System

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