Milvus Vector AI Database – Administration, Deployment, Performance & Troubleshooting

This course provides comprehensive theoretical and hands-on training on Milvus Vector Database, covering architecture, deployment, administration, data management, indexing, search, performance optimization, monitoring, backup, troubleshooting, scaling, and production deployment. The course focuses specifically on Milvus as a Vector Database.

• Explain the architecture, core components, and deployment models of Milvus Vector Database.
• Install, configure, and deploy Milvus in both Standalone and Distributed environments.
• Create, manage, and administer databases, collections, schemas, partitions, and vector data.
• Configure and optimize vector indexing strategies to improve search performance and resource utilization.
• Perform vector similarity searches, hybrid searches, and metadata filtering using Milvus.
• Monitor, troubleshoot, and optimize Milvus environments using administrative and monitoring tools.
• Implement backup, recovery, high availability, and scaling strategies to support production-ready Milvus deployments.