According to Andrew Ng, a new short course titled Governing AI Agents, created with Databricks and taught by Amber Roberts, teaches how to design AI agents that handle data safely, securely, and transparently across their lifecycle, with emphasis on production readiness; source: Andrew Ng on X, Oct 22, 2025. The curriculum covers four pillars of agent governance—lifecycle management, risk management, security, and observability—and skills such as defining data permissions, creating restricted views or SQL queries, anonymizing and masking sensitive data, and logging, evaluating, versioning, and deploying agents on Databricks; source: Andrew Ng on X, Oct 22, 2025. Ng highlights that governance prevents agents from autonomously accessing sensitive data, exposing personal information, or modifying sensitive records, positioning governance as key to safe, production-grade deployments; source: Andrew Ng on X, Oct 22, 2025. The sign-up link is hosted by DeepLearning.AI, confirming availability of this governance-focused training for practitioners deploying AI agents; source: DeepLearning.AI short course page link shared by Andrew Ng on X, Oct 22, 2025.