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Coming SoonIntermediateEst. 6–8 weeks

DataNova Academy Learning Path

Data & AI Governance

Build the trust layer that makes enterprise Data and AI sustainable, secure, and accountable.

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Data & AI Governance course preview

Coming Soon

This learning experience is currently in development.

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What You'll Learn

  • Microsoft Purview and data catalog concepts
  • Responsible AI principles in practice
  • AI Governance operating models
  • Data Governance, metadata, and lineage
  • Security and compliance considerations
  • Enterprise trust and accountability frameworks

Who It's For

  • Data stewards and governance leads
  • Risk, compliance, and security stakeholders
  • AI program owners
  • Public-sector and regulated-industry teams

Skills You'll Gain

  • Governance framework design
  • Purview literacy
  • Responsible AI practices
  • Lineage and metadata thinking
  • Trust-centered delivery habits

Prerequisites

  • Interest in enterprise Data or AI programs
  • No advanced engineering background required

Expected Learning Outcomes

  • Explain Data and AI Governance clearly
  • Apply Responsible AI in real programs
  • Support Purview-centered governance conversations
  • Help organizations scale AI with accountability

FAQ

Frequently Asked Questions

  • Is this technical or strategic?

    Both. You will learn practical governance tooling concepts and the operating models leaders need to scale responsibly.

  • Is this useful for government teams?

    Yes. Governance, compliance, and Responsible AI are especially important in public-sector environments.

  • How do I join early access?

    Use the waiting list form on this page to register your interest.

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