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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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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