🎥 Session 3 – End-to-End RAG Deployment and 2025 Industry Use Cases | AI Engineer Training

Описание: Take your AI skills to the next level in Session 3 of the AI Bootcamp 2025 —
where we dive into real-world RAG (Retrieval-Augmented Generation) deployment and explore how top industries are implementing it today.

This session will walk you through building and deploying a full RAG pipeline, connecting LLMs with external knowledge bases, and integrating retrieval systems into real applications.
Learn how global companies in finance, healthcare, and enterprise AI are using RAG to make intelligent, explainable, and scalable AI systems.

By the end of this session, you’ll understand not only how RAG works, but how to deploy and optimize it end-to-end using modern AI tools and frameworks.

🚀 Topics Covered

Building an end-to-end RAG pipeline
Integrating vector databases & APIs with LLMs
Deploying RAG applications in production
Real-world industry case studies (2025 trends)
Performance optimization and cost efficiency

🧩 Problems Solved

✅ How to deploy a complete RAG system
✅ Connecting LLMs with external real-time knowledge
✅ Scaling RAG pipelines for enterprise use
✅ Understanding modern AI deployment workflows

📘 Session Highlights

Practical walkthroughs with examples
Industry case studies and best practices
Step-by-step RAG deployment explained clearly
Designed for AI engineers and enthusiasts

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