Live & Virtual · Small Groups · Led by an ex-Google Quality Leader

AI finds patterns in seconds. If that's the depth of your role, you're replaceable.

Every problem starts with a fault: a failure, a drift, a number that moved. The value is in going deeper: cutting through the noise, finding the true cause, and fixing it so it doesn't come back. That's the skill that keeps you essential.

Over a decade of root-cause investigations across Google's data center fleet, wafer fabs, and automotive manufacturing, and the method never changed. I'll teach it to you so you can lean into the part of your job AI can't do.

Live & virtual · Small groups · Free 30-min call to start

The fault: something's off A failure, a drift, a KPI shift AI ZONE AI does this in seconds Find patterns Trends, anomalies, correlations If your role stops here, AI will inevitably replace you YOUR ZONE Trim the noise, isolate Many possibilities, down to 1–2 Prove and act Confirm the cause, close the loop The cause, fixed And prevented from returning Where you stay essential loop closed

Who you'll learn from

Adnan Chowdhury
Adnan Chowdhury
Ex-Google Cloud / Continental Automotive / NXP Semiconductors
Six Sigma Black Belt — Practitioner & Instructor · MS Electrical Engineering · Silicon Valley
Former hardware quality & reliability leader for Google's AI data center fleets.
Nearly a decade at NXP & Continental — Principal Quality Engineer & Senior Quality Manager across fabs, supplier chains, and automotive lines, including serving as a Six Sigma instructor training engineers at NXP.
Multiple Google Cloud Tech Impact Award winner and Google Platinum Award recipient, internal honors recognizing exceptional technical impact.
Dataiku Frontrunner Award winner (2021) for a machine-learning model that predicts production quality in real time, qualified as an official process control step.
Not a career trainer — every method in this training was built under real operational pressure, where a missed root cause meant direct revenue impact.

The method's field results

Semiconductor +2% Yield recovered permanently
Semiconductor 90% defect reduction
Data Center 50% MTBF fleet improvement
Automotive Tier 1 10% PPM field failure reduction

The industry doesn't matter. The fault changes; the method doesn't.

Every Operation Is Adding AI. Few People Can Explain What It Finds.

A flagged pattern isn't a fix. Someone has to cut through the noise, prove the true cause, and make sure it doesn't come back. That person is becoming the most essential one in any operation.

Oil, Gas & Process
Data Centers, Cloud & Telecom
Manufacturing & EV
Analysts & Operations

Built for roles like

Quality & Reliability Engineers Process & Manufacturing Engineers Site Reliability Engineers (SRE) Production Software Engineers Data & BI Analysts Operations & Supply Chain Analysts Test & Validation Engineers Technical Leads & Managers Students & New Grads

The Method You'll Master

From fault to proven cause, and a system hardened so it doesn't return.

THE FAULT FAULT DYNAMICS loop closed 01Characterize02Hypothesize03Confirm04Root cause05Predict06FMEA ISOLATE PROVE & ACT PREDICT & PREVENT See the week-by-week breakdown ↓

AI can surface the patterns. You own every judgment from fault to cause.

The full loop with every underlying tool, print-ready. Drop your email and it's yours.

What You'll Master — Week by Week

6 weeks · live sessions + office hours · full template suite included · no software required

Wk 0Primer (Live, Optional)A live foundations week on the statistics every step builds on, for anyone who wants a refresher before starting.+

New to the analytics side? Start here — the working fundamentals, without academic fluff:

  • Populations & inference · distributions & visualizing your data · mean, median, standard deviation
  • Real or chance? Significance, p-values & why small samples mislead
ISOLATEWeeks 1–2
Wk 1Deep Problem CharacterizationTurn a vague pattern into a precisely defined fault.+
  • A pattern is not yet a finding: separate real signal from noise before chasing it
  • Contain first — protect the customer, then investigate. And before trusting any data: sanity-check the measurement
  • Define the fault precisely: what, when, where, who, how much
  • Map the fault's boundaries across time, location, and batch — where it is and where it isn't
  • Use Pareto to decide which problem to chase first, and see where the variation lives
  • Build the characterization that makes the root cause findable instead of guessable
Wk 2Hypothesis AnalysisFormulate potential hypotheses and narrow down to the most plausible.+
  • Convert observations into quantifiable facts — the raw material of a real investigation
  • Build the fact–theory matrix: test every candidate root cause against every fact
  • Prove which differences are real, not chance, a small sample, or a hidden factor (comparative analysis and correlation)
  • Go from many possibilities to one or two survivors — deduction, not guesswork
PROVE & ACTWeeks 3–4
Wk 3Causal ConfirmationProve the cause by reproducing the fault on demand or confirming it with data.+
  • From the 1–2 causes that survived the fact–theory matrix, reproduce the fault on demand — modulate the suspect factor (basic DOE), including causes that only act together
  • When reproduction isn't possible, converge with statistical evidence at scale
  • Know when the evidence is strong enough to stand behind the conclusion
Wk 43-Dimensional Root CausingUse the 3-Dimensional 5-Why to fix why it happened, why it escaped, and why it was possible at all.+
  • Run the 3-Dimensional 5-Why across all three dimensions:
  • Occurrence — why it happened
  • Non-Detection — why nothing caught it
  • Systemic — why it was possible at all, including organizational causes: schedule pressure, bypassable steps, culture
  • Error-proof the fix so the wrong thing becomes impossible, not just discouraged
  • Close all three dimensions — this is why faults you close stay closed
PREDICT & PREVENTWeek 5
Wk 5Predictive Analytics & FMEAConfirm the fix held, enable early detection, and harden the system against future faults.+
  • Verify the fix held — before/after evidence over a sustained window, not a one-week victory lap
  • Anomaly detection and SPC as predictive methods — see the next excursion coming before it propagates
  • Watch the leading indicators that move before failure, and act on the early signal
  • Quantify the cost of poor quality (COPQ), the number that gets action funded
  • What an FMEA actually is, how to build a good one, and how to keep it alive instead of letting it rot in a compliance folder
  • Feed everything you confirmed back into the FMEA — hardening the system against the entire fault class. Loop closed.
APPLYWeek 6 · Capstone
Wk 6Capstone: 1:1 Session on Your Own CaseA private 1:1 session where we take your own case through the full method, and shape it into a story leadership acts on.+
  • In a private 1:1 session, take an ongoing fault from your own work through the full method with Adnan
  • Executive storytelling: condense everything — problem, root cause, corrective actions — into a story leadership acts on
  • The career lever: this is how people come to see you as the one who finds the cause
  • Leave with your case advanced and a brief you could present the following week

Proven in the Field — A Few Examples

A few investigations from my career. In every case, the patterns were there, but no one had taken them the next step to the true cause. You don't need to know these industries. The fault changes; the method doesn't.

Select a case to read it, or use the arrows below

Case 01 — New Technology Launch · Semiconductor

A Make-or-Break Product Launch Blocked by a Recurring Defect

A brand-new technology was six months from its qualification deadline with a chronic defect no one had cracked. Instead of more trial-and-error, the failure was systematically characterized — exactly where it appeared, when, and how much — and controlled testing confirmed the true mechanism: a routine process step far upstream was quietly creating the conditions for the defect. One recipe correction eliminated it permanently.

The universal pattern: the cause sat two steps upstream of where everyone was looking.

Result

90%

particle reduction

Deliverable

On Time

qualification — and every NPI behind it

1 / 5

What Makes This Training Different

Other programs teach dozens of tools. This one is distilled from real investigations down to the few concepts that actually solve problems.

Dimension Typical Certification Course Fault Dynamics
Focus Dozens of tools and methods, mostly taught as theory The legwork is done for you: distilled to the core handful of methods that are most practically applicable. Applied, not theory, from fault to proven cause
Instructor Career trainer who has studied the frameworks Engineering leader who ran these methods on hyperscale fleets and fabs — live, every session

From People I've Worked With

"
"He is a master at challenging entrenched engineering assumptions while remaining deeply collaborative, earning the trust and respect of senior engineering leaders across multiple partner organizations… Adnan drives teams to embrace a culture of disciplined root cause analysis and execution."

Joyce Witowski

Senior Director of Manufacturing Quality · Top Global Chip Manufacturer · Former Colleague

What You Get

The Method

The closed-loop framework and full template suite — a repeatable system you keep for the rest of your career. No software required.

The Practice

You bring a real fault from your own work and take it through the method live during the training — you leave with it characterized, not with theory notes.

The Access

Weekly direct time with Adnan — during the training and for a full month after, so your real industry issue gets worked to closure, not dropped at graduation.

Everything included

  • 6 weeks of live instruction, scheduled around working professionals
  • +1 month of weekly office hours after the training ends
  • Optional live Week 0 primer, for anyone who wants a refresher
  • A private 1:1 capstone session on your own case

Pricing: Pricing depends on whether you're joining individually or bringing a team. Founding participants get a reduced rate in exchange for honest feedback. Book a free 30-minute call and we'll figure out what fits.

FAQ

"How much does it cost?"+

It depends on whether you're joining individually or bringing a team. Founding participants get a reduced rate. Book a free 30-minute call and we'll figure out what fits.

"Can my employer cover this?"+

Many employers have training or professional development budgets, and this is job-relevant professional training. I'll help you make the request: you'll get an invoice, a course outline, a certificate of completion, and a short summary of the training's relevance you can share with your manager. Most approvals go smoothest when requested before you start.

"What if I don't have a technical background?"+

That's what the optional Week 0 is for. It's a live session covering the working fundamentals, without the academic fluff. If you work with data or processes and are expected to explain why something happened, you already have the prerequisites.

"I'm an analyst or software engineer, not in manufacturing. Is this for me?"+

Yes. If you're asked why a KPI moved, a cost spiked, or a service degraded, the method applies directly. Is / Is-Not mapping becomes which versions, regions, or hosts are affected. Reproducing a fault becomes a staging repro or a config toggle. The method is the same.

"I'm a student or new grad. Is there an option for me?"+

Yes. There's a dedicated student cohort, with a practice case and a session on launching your career in quality, reliability, and process roles. Book a free call to learn more.

"How is this different from a certification course?"+

No theory decks, no exam cram. You work real failure cases — including one from your own operation — with the engineer who ran these investigations at hyperscale. You leave with a method and templates, not just a certificate.

"What's the time commitment?"+

Two sessions per week (live session + optional office hours) for 6 weeks — scheduled around working professionals. Sessions are recorded if you miss one.

"What language is it taught in?"+

Live instruction is in English. All templates are jargon-light and immediately usable in multilingual workplaces.

Don't Stop at the Pattern. Find the Cause.

Bring a fault you're working on. In 30 minutes, we'll characterize it together, and you'll leave with a clearer next step, whether or not you enroll.

Not ready for a call? — no booking needed. Or if no listed time works, and Adnan will find a time with you.