By Published On: May 30, 2026Categories:

Data Governance & AI Governance

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

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What our students say:

Excellent Course Structure! Congratulations for the very interesting subjects!

– Willian

This course is vital to AI production. I’m ready to learn about Data Governance and AI Governance.
– Milagros

Essential for AI in production – great intro to Data Governance.

– Marc

Data Governance Fundamentals

All the fundamentals: Data Governance, Lineage, Data Catalog and operational models

Production-ready AI

Learn how to make your AI production ready, governed and secure!

Operational templates

Walk away with ready-to-use templates

  • Design and implement a practical data governance operating model with clear roles, responsibilities, and decision rights

  • Create governance policies, standards, and controls that align data management across the organization

  • Build trusted data foundations through metadata management, business glossaries, and data quality frameworks

  • Apply data privacy, classification, access management, and GDPR compliance practices effectively

  • Establish governance frameworks for AI, machine learning, and Generative AI solutions

  • Accelerate implementation with 15+ ready-to-use templates, frameworks, and governance artifacts

What you will learn:

Learn how to design governance structures, define roles and responsibilities, and establish decision-making processes that scale across your organization.

Develop a complete governance policy framework, from enterprise-level principles to practical standards and system-level controls.

Build business glossaries, metadata catalogs, naming conventions, and stewardship processes that create a shared understanding of data.

Define quality rules, ownership structures, SLAs, and remediation workflows that improve trust in data and reporting.

Apply data classification, access governance, retention policies, and GDPR requirements through practical governance mechanisms.

Create AI governance processes covering risk assessments, model documentation, human oversight, and responsible AI principles.

Accelerate implementation using practical templates, examples, and governance artifacts that can be adapted to real-world environments.

About your instructor:

Hi, I’m Dr. Florian Detzel — BI architect, reporting pro, data governance expert, and Udemy instructor. I hold a PhD in Information Systems and bring teaching skills and practical industry experience into my courses.
I specialize in Power BI, Microsoft Fabric, Process Mining, and data governance with Purview.
My goal is to teach modern analytics in a clear, practical, and accessible way.

Perfect Companion Courses

Data Modeling in the Age of AI

Microsoft Purview: Data Governance & Data Catalog

Master business intelligence fundamentals, data warehouse & ETL. Use AI tools like ChatGPT & Copilot for data modeling!

Strong analytics relies on trusted data. If you want to build governance, data quality, and lineage that supports your AI work in Power BI & Fabric, this course is the ideal next step.