AI for Data Management: Driving Trust, Quality, and Efficiency

Course Overview

This course teaches practical techniques for using AI tools to investigate data systems, troubleshoot incidents, write and optimize SQL queries, monitor data quality, and apply responsible AI practices in data management. It equips learners with strategies to incorporate AI into the data lifecycle while maintaining trust, security, and quality.

Key Takeaways

• Use AI to explore and understand unfamiliar data systems.
• Troubleshoot operational incidents and diagnose failed data pipelines with AI assistance.
• Generate, optimize, debug, and refactor SQL queries using AI tools.
• Create data documentation, lineage narratives, and operational runbooks with AI support.
• Monitor data quality and detect anomalies using AI-assisted workflows.
• Apply responsible AI practices addressing bias, hallucinations, privacy, and human oversight.

Target Learners

Intermediate-level data managers and professionals who want to leverage AI to improve data management processes, enhance data quality, and ensure responsible AI usage in enterprise environments.