Google Professional Data Engineer Readiness: Design Data Systems at Professional Level
Signature Course No. 414 — A Signature AI Socratic Coaching Course.
No experience needed — your coach starts where you are.
A New Kind of Learning
Socratic coaching, delivered by an agentic AI coach.
Not a course you watch. An AI coach you work with.
The Lighthouse Coach begins by discovering how you think about the subject, teaches what is missing, and gives you realistic practice before asking you to prove that you can use it. You may test out of concepts you already understand, while capstones turn the learning into a practical plan, decision, conversation, or other real-world result.
The curriculum is deliberately authored; the AI delivers it through coaching. It is not an AI randomly generating lessons.
A coach that teaches by asking — not by lecturing
The Lighthouse Coach is an AI Socratic coach built on Cognosco Learning's Google Professional Data Engineer Readiness: Design Data Systems at Professional Level course, in the Personal Effectiveness & Well-Being category. It does not play videos at you. It holds a conversation: it asks you a question, listens to your answer, names the misconception it hears, affirms what you got right, and asks the next question — the way a great coach works in the room.
Readiness, honestly framed — never a guaranteed pass. A data system is decided long before it is built: where data will live, how fresh it must be, what a failure is allowed to cost, who may see what, and what the whole estate will charge the business every month. This course teaches that design work on Google Cloud at the level the Professional Data Engineer credential examines — architecture selection under competing constraints, governance and security designed in rather than inspected in, reliability designed before the first incident, migration designed before the first record moves — and it certifies the narrower, more useful thing a course honestly can: that you have practiced, repeatedly and under judgment, reading a brief, naming its real constraints, choosing an architecture under competing pressures, and defending that choice to a skeptical reviewer.
It starts at the blueprint seat. Every professional design begins with a brief that is not ready to design from — symptoms, wishes, and slogans — and the first professional move is translation: constraints with sources, non-functional requirements carrying a number and a consequence, a decision record with its reversal condition, and an owned open-questions list with labeled assumptions, all kept free of service names so the architecture argument that follows stays honest.
It works in two movements. First, Module 1 — Designing the System on Paper First — work through Concepts 1–9, finishing with The Qiruna Platform, Designed; then, Module 2 — Defending, Migrating, and Evolving the Design — work through Concepts 10–18, finishing with The Qiruna Platform, Defended and Evolved.
Both capstones produce real artifacts — a complete design dossier for Qiruna Logistics' new platform: the translation, the architecture and data model with the temperature-evidence copy separated from the operational copy, the ingestion guarantees and processing contracts, the reliability targets and the cost architecture computed from the case's own volumes, and the security and privacy design closed by its residual-risk statement; and a defended redesign and migration plan for the same company under changed constraints — governance and observability for the running estate, a migration with numeric reconciliation gates and stated points of no return, an acquisition absorbed with volumes recomputed, the estate made model-ready without leakage, and a readiness statement signed exactly as far as its evidence supports.
The honesty standard is part of the course. This course promises readiness, never a pass. It teaches to the published Professional Data Engineer skills outline at the level that outline is published, claims no knowledge of actual examination content beyond that published outline, and flags every point where an outline, a service name, or a platform behavior could change and must be verified against current Google documentation before you rely on it. The running case, Qiruna Logistics, is invented for teaching; its figures are stated once and used consistently, and you are invited to recompute them.
The course is self-paced and always on — roughly 30 minutes per concept, about 9 hours in full, taken in as many sittings as you like. You can type your answers, or talk out loud: the Voice Coach speaks its questions and listens to your spoken replies. Learners who already know the material can test out concept by concept.
Google Professional Data Engineer Readiness: Design Data Systems at Professional Level is part of The Lighthouse Signature Series — the online counterpart to the one-day, in-person learning Cognosco Learning has delivered since 2002.
Course Facts
One full concept, coached end to end — free: verify your email and we’ll send you a link to start.
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Diagnose → Learn & Practice → Prove → Capstone
Every learner moves through the same discipline a Cognosco instructor would insist on in the room.
Diagnose
The Coach starts where the course starts: at the blueprint seat. Take the last design you worked on and say which of its requirements had a number and a consequence, and which were slogans you designed from anyway; say where in that design the reversal condition is written — the fact that, if it changed, would change your main architecture choice; name one assumption in a current system that everyone downstream treats as a fact, who originally assumed it, and whether it is labeled anywhere. Every concept opens with three questions that locate where you actually stand, and your answers shape how deeply the Coach works the concept with you. Everyone begins with Module 1 — no skipping the translation you only think you have done.
Learn & Practice
Work each concept in conversation with the Coach — spoken or written — then practice it against realistic situations until it holds up.
Prove
Every concept ends in proof: answer the check cold and demonstrate the skill. Know it already? Test out and take credit immediately.
Capstone
Finish with two capstones — The Qiruna Platform, Designed for Module 1 and The Qiruna Platform, Defended and Evolved for Module 2 — that pull the whole course together, and earn the certificate.
What You'll Learn
Translate first, design second, defend always. Every skill in this course is the same discipline at a different depth: refuse to design from slogans, state every choice with its trade-off and its price attached, rank constraints by what their violation costs, and word every signed claim exactly as far as its evidence supports.
Module 1 designs the system on paper first. The Blueprint Seat; The Running Design Case; Architecture Selection; Storage and Data Model Design; Ingestion Architecture Design; Processing Architecture Design; Reliability Design; Cost Architecture; and Security and Privacy by Design — the front half of professional design taught as one discipline: read the brief like an examiner, learn the running case in full, then make the system-level choices one at a time, each with its trade-off attached.
Module 2 defends, migrates, and evolves the design. Governance Design; Observability and Operability Design; Migration Design; Serving and Consumption Design; The ML-Ready Estate; Scalability and Evolution Design; Validation Design; The Design Review; and The Professional's Standard — what happens next in the life of every real system, in the order of widening responsibility: governed, observed, moved, served, learned from, grown, validated, reviewed, and signed.
And it holds its boundary throughout. Doing the work — building batch and streaming pipelines, operating BigQuery, orchestrating a running estate — is taught in its own neighboring course, No. 217, Data Engineering on Google Cloud, whose fluency this course assumes. This course sits one step up and one step earlier: should this system exist in this shape at all, what does it cost in latency, money, reliability, and risk, and how would you prove that to a reviewer who prefers a different answer?
What you will learn
- Translate a vague brief into constraints, non-functional requirements, and a decision record a reviewer can test
- Select an architecture — warehouse, lakehouse, operational store, stream, batch, or hybrid — from the access pattern and the constraints, and defend the selection
- Design storage, data models, ingestion, and processing at system level, with cost, latency, and failure stated as part of the design
- Design reliability, security, privacy, and governance into a system before it is built
- Design observability, operability, migration, and cutover so a system can be run and moved without heroics
- Design serving, data products, and a machine-learning-ready estate without leakage or silent version drift
- Defend a complete design under challenge, revise it when the challenge is right, and state plainly how far it should be trusted
Everything in the course
- All 18 concepts of Google Professional Data Engineer Readiness: Design Data Systems at Professional Level, in 2 modules
- A starting-point check first — the Coach finds where you actually stand before teaching
- Learn, Practice, Prove for every concept — no passive video watching
- A test-out on every concept: prove you know it and move on
- The Voice Coach: talk with the Coach out loud — it speaks, listens, and replies
- A personal Learner Record of your work across the course
- Two capstone exercises: The Qiruna Platform, Designed and The Qiruna Platform, Defended and Evolved
- A printable session summary whenever you pause
- The Lighthouse Coach completion certificate (Signature Series)
- Your progress is saved as you go — stop anytime, resume where you left off
Built for the people who sign the design
Data engineers preparing for the Professional Data Engineer credential — who can already build on Google Cloud and now need the design-and-judgment seat the professional blueprint examines; and senior data engineers and data architects who own system-level choices and must defend them to finance, compliance, and product reviewers.
Platform leads — who set the patterns other teams build inside, and whose design defaults become everyone else's costs.
Consultants and solutions engineers — who walk into an unfamiliar estate and must produce a defensible design from a partial brief in limited time. This course assumes 217-level fluency: you can already build a batch and a streaming pipeline, operate BigQuery, explain partitioning and clustering as mechanics, and run an orchestrated estate — and you can read a brief, do arithmetic with volumes and unit costs, and write a paragraph a non-engineer can follow.
Prefer to learn live and in person? The same material anchors Cognosco's one-day programs — browse the in-person catalog.
Start with The Blueprint Seat
$195 — introductory price. One payment. No subscription, no password to manage.
Here is exactly what happens when you enroll:
- Pay securely with Stripe — you are taken straight into the course
- Create your learner profile and begin the Module 1 starting-point check
- Save the access key you are given — it restores your enrollment on any device
- Learn at your pace; your progress is stored in your browser on your device
For the full voice experience, use Chrome and allow the microphone when asked. Typing your answers works everywhere, all the time. Questions before you enroll? Email hello@cognoscolearning.com.
Before you enroll
What is a Socratic coaching session?
A conversation, not a video. Your coach asks a question; you answer — out loud by voice, or by typing — and the coach responds to what you said: naming the misconception it hears, affirming what you got right, and asking the next question. You advance only when you have mastered each concept, so a finished course means the learning held.
How long does it take — and how long do I have?
About 30 minutes per concept. Learn in sittings of any length; your progress is saved as you go. You have a full year from purchase to finish, and you can revisit and retake within that year.
What does the certificate verify?
That you completed every concept and both capstones of this course. Anyone can confirm a Cognosco certificate online — enter its certificate ID on our verification page.
What if it isn't for me — what are the refunds?
If you have not started, cancel for a full refund within seven days of purchase. Once you have started, there is no cash refund — stop before finishing and we credit the full amount you paid toward any other course in the library (credit valid one year from your original purchase). Once you complete the course, no refund or credit applies.
More Signature Courses are coming
Google Professional Data Engineer Readiness: Design Data Systems at Professional Level is Signature Course No. 414. Leave your email and we'll send you news of future Signature Courses and Lighthouse updates as they are announced — nothing else.