Improving Data Quality with Generative AI
Free Download Improving Data Quality with Generative AI
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Improving Data Quality with Generative AI, 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 8/2026
By Nicolae Caprarescu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 59m 21s | Size: 339 MB
Generative AI can support data quality work, but data engineers need clear ways to decide where LLMs fit and how their outputs should be validated.
Generative AI can support data quality work, but data engineers need clear ways to decide where LLMs fit and how their outputs should be validated. In this course, Improving Data Quality with Generative AI, you'll gain the ability to use LLMs for data quality workflows while keeping results grounded in source data, statistical checks, and contract validation. First, you'll explore how LLM-assisted work compares with rule-based validation and established data quality checks. Next, you'll discover how to use sample data to produce anomaly explanations, stakeholder-ready summaries, and severity triage. Finally, you'll learn how to generate and maintain data contracts when upstream schemas change. When you're finished with this course, you'll have the skills and knowledge of generative AI for data quality needed to evaluate LLM-assisted findings, reduce hallucination risk, and protect downstream data work from unsupported outputs.
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