Agentic AI: Performing T-SQL Database Development with Microsoft AutoGen

This presentation will commence with a practical exploration of real-life database project development. I will solicit insights from volunteers on their methodologies for addressing this job requirement.

Subsequently, I will elucidate the critical importance of precise contextual knowledge transfer from human experts to AI systems, which is essential for fully harnessing the capabilities of Agentics AI. This approach underscores the necessity of sophisticated human-AI interaction to optimize the deployment and functionality of advanced AI-driven database solutions.

I will demonstrate how to craft prompts for creating Agentics AI, which will autonomously generate the entire database schema for a bicycle data project and load data into SQL Server databases using the Microsoft AutoGen framework. This approach underscores that Agentics AI, not humans, will handle the tasks, highlighting efficiency, accuracy, and reduced manual effort. This ensures a thorough and robust end-to-end database development and deployment process, ultimately streamlining the workflow and enhancing the overall quality and maintainability of your database solutions.

Discover how Microsoft AutoGen is not just a tool, but a game changer in database development. Join us to learn, explore, and revolutionize your T-SQL Database Development with Microsoft AutoGen.