Master Retrieval-Augmented Generation (RAG) by building complete file-based AI systems using embeddings and vector databases. This instructor-led course goes beyond basic prompt engineering to teach you how to connect LLMs with enterprise documents, design intelligent search pipelines, and deploy real-world GenAI applications through hands-on, step-by-step training.
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Build Real-World RAG Pipelines: Develop end-to-end systems from scratch, moving from document ingestion to live deployment.
Master Embeddings & Vector Search: Learn to convert text into numerical representations and implement high-performance similarity search.
Enterprise File-Based AI: Gain hands-on experience building chatbots that securely interact with PDF, DOCX, and TXT files.
Enterprise training for teams:
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FREEConsultation
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+1,200 Enrolled
