Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith — 90% Off Coupon

Build powerful RAG pipelines: Traditional, Advanced, Multimodal & Agentic AI with LangChain,LangGraph and Langsmith

4.6 14,079 students enrolledCreated by KRISHAI Technologies Private Limited, Krish NaikLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith
•Provider: Udemy (listed via CourseSpeak)
•Instructor: KRISHAI Technologies Private Limited, Krish Naik
•Coupon Verified On: December 12, 2025
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Retrieval Augmented Generation (RAG)
•Duration: 29h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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.
•Prerequisites: Basic understanding of Python programming (variables, loops, functions). · No prior knowledge of RAG is required — everything will be taught from scratch.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Basic understanding of Python programming (variables, loops, functions).
•No prior knowledge of RAG is required — everything will be taught from scratch.
•Familiarity with AI concepts like LLMs is helpful
•Basic Knowledge Of Langchain

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by KRISHAI Technologies Private Limited, Krish Naik. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: KRISHAI Technologies Private Limited, Krish Naik
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith Coupon Worth It?

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith is a development course offered on Udemy by instructor KRISHAI Technologies Private Limited, Krish Naik, spanning 29h 30m of on-demand content. It holds a 4.6/5 rating from over 14,079 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on December 12, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.6/5) and enrollment numbers (14,079 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of December 2025. For individual student reviews, visit the course page directly.

4.6
14,079 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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