AI for Data Management Driving Trust, Quality, and Efficiency
AI for Data Management Driving Trust, Quality, and Efficiency
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With AI for Data Management Driving Trust, Quality, and Efficiency, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
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
https://www.linkedin.com/learning/ai-for-data-management-driving-trust-quality-and-efficiency
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