Data Governance & AI Governance: The Complete Guide — 93% Off Coupon

Design governance, policies and controls, govern data quality, ML lifecycles and GenAI — with ready-to-use templatates

⭐ 4.7 out of 5 Rating (21 students) Created by Dr. Florian Detzel | BI Academy Updated: April 21, 2026 🌐 English

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Course Title: Data Governance & AI Governance: The Complete Guide

Provider: Udemy (Listed via CoursesWyn)

Instructor: Dr. Florian Detzel | BI Academy

Coupon Verified On: April 21, 2026

Difficulty Level: All Levels

Category: Business

Subcategory: Business Analytics & Intelligence

Duration: 14h 30m of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Design a data governance operating model (federated, centralized, or hub-and-spoke) with a RACI, council charter, and decision rights · Write policies, standards, and controls across the full policy hierarchy — corporate to system level · Build a business glossary and metadata catalog with naming standards and curation workflows

Prerequisites: Familiarity with analytics or machine learning is helpful but not required · No coding or tooling knowledge required — this course is tool-agnostic

Price: $9.99 with coupon / Regular Udemy price: $149.99. Applying this coupon saves you $140.00 (93% OFF).

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What You'll Learn

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

Design a data governance operating model (federated, centralized, or hub-and-spoke) with a RACI, council charter, and decision rights
Write policies, standards, and controls across the full policy hierarchy — corporate to system level
Build a business glossary and metadata catalog with naming standards and curation workflows
Define data quality rules, thresholds, and SLAs; manage issues with ownership and remediation workflows
Apply data classification, access governance, DPIA/PIA, and retention standards to meet GDPR and privacy requirements
Build an AI governance program: impact assessments, model cards, data cards, risk registers, and human oversight plans
Govern the ML lifecycle and GenAI deployments: approval gates, RAG corpus policies, prompt safety, and hallucination evaluation frameworks
Walk away with 15+ production-ready templates you can adapt and deploy immediately

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Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

Familiarity with analytics or machine learning is helpful but not required

No coding or tooling knowledge required — this course is tool-agnostic

About This Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

Your organization is deploying AI. Data teams are growing. Regulations are tightening. And someone has to make sure the data can be trusted and the models can be explained. That's what this course is about.

Data Governance has expanded well beyond traditional data management and this course reflects that reality.

The course is built in two halves. The first builds your core governance program: operating model, policies and controls, business glossary, data quality, privacy, and lineage. The second covers AI governance: assessing and documenting AI risk, governing ML pipelines, and writing GenAI-specific policies for RAG ingestion, prompt safety, and response governance.

The labs are real governance work. Every module has a hands-on assignment built on EasyCar,  a realistic car rental case study that runs through the entire course. You'll draft business glossary terms with ownership and exclusions, write testable data quality rules with severity levels, produce an AI Impact Assessment, fill in a model card and data card, design a human oversight plan for a fraud detection model, and define GenAI prompt logging standards.

What makes this course different:
  • End-to-end scope: From writing your first governance charter to governing ML pipelines, RAG corpora, and LLM prompt safety
  • 14 hands-on lab assignments: One per module, all built on the same EasyCar case study that runs continuously from Module 1 to Module 14, so context and decisions compound as you progress rather than starting over each time
  • 15+ ready-to-use templates included: charters, RACI matrices, policy catalogs, model cards, AI risk registers, data cards, incident runbooks, and more — ready to adapt and deploy
  • Regulatory alignment: Modules map to EU AI Act, NIST AI RMF, ISO/IEC 42001, and GDPR so you know where your controls map to real obligations
  • Vendor-agnostic: All principles and templates work regardless of your tooling stack
You'll finish with a governance charter, a policy catalog, a data quality rulebook, an AI risk register, a model card, a data card, and a GenAI policy; artifacts you can put in front of your organization immediately.

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

D

Dr. Florian Detzel | BI Academy

Verified Architect

A global leader with specialized excellence in Business. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.

Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

AD
Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Data Governance & AI Governance: The Complete Guide stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.7
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

Frequently Asked Questions

Curated answers to the most frequent learner inquiries regarding availability, certification, and enrollment logic protocols.

Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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