Enterprise Data Foundations for AI
Data quality, lineage, governance, privacy, and the platform pattern that makes AI possible — not the platform that promises it.
Last updated: 2026-05-22
Take the interactive courseWhat you'll learn
By the end of this course you'll be able to:
- The data-quality reality most AI vendors won't tell you about
- The lineage + governance pattern auditors and regulators actually accept
- The platform discipline — pick the pattern that makes AI possible, not the platform that promises it
- The 4 production-readiness checks for AI data pipelines
- The hard line between data engineering and ML engineering — and the handoff that works
Who this is for
Chief Data Officers, data platform leads, data engineering managers, and CIOs accountable for the data foundation AI initiatives depend on. Especially useful for orgs whose AI proofs-of-concept ship but never scale because the data underneath isn't production-grade.
Curriculum
8 chapters · 1 hands-on exercises · capstone challenge
Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.
1. Data foundations landscape
2. Data quality reality
3. Lineage + provenance
4. Governance + privacy
5. Platform pattern
6. Storage + retrieval architecture
7. Operations + monitoring
8. Roadmap + handoff to AI teams
Interactive Course · Free
Full web-rendered experience available now.
All 8 chapters live with interactive slides, audio narration, mock-exam practice, and cross-device progress tracking. The first two chapters are accessible without an account.
References & sources
Built on cited sources — not vibes.
Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:
Course details
Track
Builder
Level
Intermediate
Audience
Director, Technical practitioner
Function
IT & Engineering
Industry
Cross-Industry
Stack
Microsoft, AWS, Google Cloud, Stack-agnostic
Paired Gennoor Way phase
diagnose, build
Format
interactive, reading
You finished the course. Now what?
From course to outcome.
Reading this course is step one. The next step is applying it where you work. Here's how Gennoor helps — without the deck, without the pitch.
Run this for your team
A 2-day workshop or virtual cohort for up to 25 of your people, with exercises run on your data and a 30-day adoption plan.
From $5k · 2 weeks · function-specific
Apply this to your data
A 4–6 week pilot that takes what you learned and ships a working system inside your environment. Fixed scope, fixed price, code transferred day one.
From $25k · 6 weeks · production-grade
Just want to talk?
Free 30-minute call. No deck, no pitch. We listen to your situation and tell you honestly what makes sense — even if it isn't us.
Free · no commitment · 30 minutes
Or just keep learning. We recommend next:
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