Udemy – Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith 2025-7

Udemy – Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith 2025-7 Downloadly IRSpace

Aug 19, 2025 - 16:10

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Udemy – Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith 2025-7

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith, This bootcamp offers a comprehensive, hands-on journey into Retrieval-Augmented Generation (RAG), a cutting-edge technique used to build intelligent AI systems. It starts with traditional RAG pipelines and progresses to advanced architectures, including hybrid search, multimodal processing, and persistent memory. Learners will explore how to use LangChain for building RAG workflows, LangGraph for designing multi-agent autonomous systems, and LangSmith for tracking, debugging, and optimizing performance. The course is designed for both beginners and experienced developers, with no prior RAG knowledge required.

Unlike typical courses that skim the surface, this bootcamp dives deep into real-world applications. Participants will learn to build domain-specific chatbots, multimodal assistants, and collaborative AI agents capable of reasoning and planning. The curriculum emphasizes practical deployment, guiding learners through every step from data ingestion and vector database selection to full-scale implementation. By the end, students will be equipped to design and deploy robust, production-grade RAG systems using the latest AI tools and frameworks.

What you’ll learn

Build traditional RAG pipelines for accurate and efficient information retrieval.
Implement advanced retrieval methods like hybrid search, multimodal RAG, and persistent memory.
Design multi-agent and autonomous RAG systems using LangGraph for collaborative AI reasoning.
Use LangSmith for tracking, debugging, and optimizing RAG workflows in real-world projects.
Integrate LangSmith for tracking, debugging, and optimizing RAG performance.
Use vector databases like FAISS, Pinecone, and Weaviate efficiently.
Build domain-specific knowledge chatbots with hybrid search.
Develop multimodal AI assistants that process both text and images.

Who this course is for

AI developers & ML engineers who want to master RAG from basics to advanced agentic systems.
Data scientists aiming to integrate retrieval systems into AI workflows.
Software developers building intelligent assistants, chatbots, or research tools.
Researchers exploring advanced RAG workflows and multi-agent AI pipelines.
AI enthusiasts & beginners who want a hands-on, step-by-step approach to RAG without prior experience.