Managing a data team means staying ahead of the technology curve while ensuring your team has the practical skills to implement cutting-edge solutions. The new Claude & Dremio University course offers exactly what you need.
The new Claude & Dremio course on Dremio University is designed for data managers who need to understand both the technical implementation and team management aspects of integrating AI capabilities with modern data infrastructure.
Perfect for Your Team Development Goals:
MCP Interoperability Mastery: Your team will discover how MCP connects Claude to virtually any data system—databases, APIs, files, and cloud services
Live Data Ingestion Experience: Watch real-time data ingestion from multiple sources through MCP's universal connectivity
Advanced Query Capabilities: See natural language transform into complex queries across different data formats and locations
Cross-Platform Integration: Understand how MCP eliminates vendor lock-in by creating consistent AI interfaces across diverse data infrastructure
This hands-on course takes you through a complete end-to-end implementation in four practical steps: setting up Dremio in Docker, configuring sample data with secure access tokens, establishing the MCP server connection, and finally experiencing Claude's direct interaction with your data infrastructure.
You'll witness the complete integration workflow from infrastructure setup to AI-powered querying—exactly what you need to implement in production environments.
p.s. You can easily get started building your own free Apache Iceberg Lakehouse to implement AI-ready data. You can self-deploy with Docker on your laptop and get up and running in less than 15 minutes.