Master the strategy, design, and governance of Retrieval-Augmented Generation to transform enterprise knowledge access
What you will learn
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Identify high-value business use cases for RAG across teams and workflows
Design a modular, scalable RAG stack for enterprise deployment
Build a content strategy for sourcing, chunking, and indexing knowledge
Establish governance practices for access, traceability, and compliance
Evaluate RAG vendors based on privacy, control, and integration options
Mitigate risks like hallucination, bias, and data exposure in RAG systems
Track and report KPIs that measure RAGβs business impact and trust
Craft a long-term RAG vision aligned with AI agents and automation
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