Generative AI succeeds or fails on the quality of your data strategy. In this hands on course, you’ll learn how to design scalable data frameworks and governance models that power LLMs, RAG, and agentic AI with reliable, ethical, and context rich information. The curriculum covers modern data strategy fundamentals, taxonomy design, and responsible AI practices—equipping you to reduce hallucinations, enforce compliance, and accelerate delivery of production ready AI solutions.

Through case studies, interactive dialogues, labs, and practice assignments, you’ll apply taxonomies, metadata, and data quality controls to real world scenarios. By the end, you’ll be able to architect enterprise data foundations that make GenAI robust, explainable, and future proof.