Hands-On RAG with LangChain: Build Real-World Projects
★ 4.7 rated · $9.99
Multi-Agent RAG, CrewAI, AutoGen, Microsoft Agent Framework, RAG, Langchain, Deep RAG, Production RAG, RAGWire
$9.99 with coupon (list $149.99 — save $140.00, 93% off)
Coupon Verified: August 27, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the IT & Software skills on the syllabus match what you actually want to learn. The regular price for Advanced RAG: Build & Deploy Production GenAI Apps on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 11h of on-demand video, that works out to roughly $0.91 per hour of content — cheaper than a single chapter of most printed IT & Software textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. KGP Talkie | Laxmi Kant walks you through build a production RAG pipeline with BM25 hybrid search, RRF fusion, and Qdrant vector database, build agentic RAG systems with LangChain, LangGraph self-correcting agents, and supervisor workflows, and build multi-agent RAG with CrewAI, Microsoft AutoGen, and Microsoft Agent Framework — skills meant to be used, not just watched. It has already been taken by 1,269 students and holds a 4.6-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Basic Python programming knowledge (functions, classes, pip); Familiarity with REST APIs and using a terminal or command line. Best suited to learners who already have footing in IT & Software. Plan for roughly 11h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Advanced RAG: Build & Deploy Production GenAI Apps — taken from the official Udemy syllabus for IT & Software learners.
Build a production RAG pipeline with BM25 hybrid search, RRF fusion, and Qdrant vector database.
Build agentic RAG systems with LangChain, LangGraph self-correcting agents, and supervisor workflows.
Build multi-agent RAG with CrewAI, Microsoft AutoGen, and Microsoft Agent Framework.
Deploy RAG agents to AWS ECS Fargate, GCP Cloud Run, Azure, Railway, and Render with Docker.
Build a FastAPI backend with OpenAI-compatible endpoints, SSE streaming, and Postman testing.
Build a production Chainlit chat UI with authentication, chat history, and document ingestion.
Configure RAGWire with OpenAI GPT, Groq, Google Gemini, Ollama, and HuggingFace embeddings.
Implement LLM-driven auto metadata filtering over complex nested document structures in Qdrant.
What you need before enrolling in Advanced RAG: Build & Deploy Production GenAI Apps — prerequisites as listed by the instructor on Udemy.
Basic Python programming knowledge (functions, classes, pip)
Familiarity with REST APIs and using a terminal or command line
Basic understanding of Gen AI and Langchain concepts
The full official description of Advanced RAG: Build & Deploy Production GenAI Apps — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on August 27, 2026.
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