"Deploy Vector DBs Securely" is an intermediate course for developers and ML engineers who are ready to move their AI applications from a local machine to a production environment. Knowing how to use a vector database is one thing; deploying it securely and reliably is the critical next step. This two-hour, hands-on course provides the essential last-mile skills needed for production readiness.

Focused entirely on real-world job tasks, you will learn to lock down your data pipeline. You'll containerize a vector database like Chroma or Weaviate using Docker, push it to a registry, and secure it with TLS encryption and Role-Based Access Control (RBAC). You will then master the operational side by setting up Grafana dashboards to monitor cluster health and analyzing performance data to configure autoscaling policies. By the end, you will have the confidence to deploy, manage, and scale vector databases in line with enterprise-grade best practices.