What you'll learn

Moving GenAI prototypes into production requires robust platform engineering, multi-tenant design, and enterprise-grade governance — areas where many teams lack proven patterns.

In this course, Platform and Governance for GenAI Systems, you'll gain the ability to architect, govern, and operationalize GenAI systems at enterprise scale.

First, you'll explore deployment frameworks, CI/CD pipelines, infrastructure-as-code strategies, and developer platform patterns purpose-built for GenAI workloads.

Next, you'll discover how to design multi-tenant architectures with proper isolation, resource allocation, and automated tenant management, followed by enterprise governance frameworks covering access controls, compliance tracking, and model governance processes.

Finally, you'll learn how to implement auditability and transparency features — including audit trails, explainability, and compliance reporting — and how to design architectures that adapt to emerging AI regulations like the EU AI Act and US state-level requirements.

When you're finished with this course, you'll have the skills and knowledge of GenAI platform engineering and governance needed to design, deploy, and manage production-grade GenAI systems that are scalable, compliant, and audit-ready.