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AI for Data Management Driving Trust, Quality, and Efficiency

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AI for Data Management Driving Trust, Quality, and Efficiency
Released 9/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 47m | Size: 374.52 MB
Learn how to use AI tools to investigate data systems, troubleshoot incidents, write and optimize SQL, monitor data quality, and apply responsible AI practices as a data manager.​

Course details
AI is transforming how data managers work, from diagnosing failed pipelines to generating documentation and validating SQL. In this course, discover practical, hands-on techniques for using AI to investigate unfamiliar data systems, troubleshoot operational incidents, optimize queries, and maintain data quality at scale. Explore responsible AI practices-addressing bias, hallucinations, privacy, and human oversight-so you can use AI confidently without compromising trust or security. By the end of this course, you'll be equipped with cutting-edge strategies to incorporate AI into your current data lifecycle.
Skills covered
SQL, Data Management, Artificial Intelligence (AI)
Homepage
Code:
https://www.linkedin.com/learning/ai-for-data-management-driving-trust-quality-and-efficiency

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