Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith94% OFF Discount Coupon

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

4.6 out of 5
22,582 students
Created by KRISHAI Technologies Private Limited, Krish Naik
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith before you enroll:

Course Name: Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith
Platform: Udemy
Instructor: KRISHAI Technologies Private Limited, Krish Naik
Coupon Last Verified: April 21, 2026
Level: Advanced
Topic: Development
Subtopic: Retrieval Augmented Generation (RAG)
Total Time: 29h 30m of video content
Language: English
Access Type: Unlimited lifetime access + updates
Certificate: Included upon completion from Udemy
Main Skills: 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.
Requirements: Basic understanding of Python programming (variables, loops, functions). · No prior knowledge of RAG is required — everything will be taught from scratch.
Current Price: $10.99 (was $169.99). You save $159.00 with 94% discount.
How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith, you'll have these practical skills:

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.

What You Need Before Starting

Before enrolling in Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith, make sure you have:

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

The following is the full official course description for Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith as published on Udemy by instructor KRISHAI Technologies Private Limited, Krish Naik:

Unlock the Power of Retrieval-Augmented Generation (RAG) – From Traditional to Advanced Agentic AI Systems

In today’s AI-driven world, Retrieval-Augmented Generation (RAG) is one of the most impactful and in-demand techniques, powering everything from intelligent chatbots and personal assistants to automated research agents and enterprise AI systems.

The Ultimate RAG Bootcamp is your complete, step-by-step guide to mastering RAG using the latest and most powerful tools — LangChain, LangGraph, and LangSmith. Whether you’re an AI beginner or an experienced developer, this course takes you from the fundamentals of RAG pipelines all the way to advanced Agentic RAG architectures used in production by leading companies.

Why This Course?

Unlike other courses that only touch on basic RAG concepts, this bootcamp goes deeper. You will:
  • Learn traditional RAG step-by-step.
  • Master advanced retrieval strategies like hybrid search, vector optimization, and multimodal RAG.
  • Implement multi-agent, autonomous AI pipelines that can think, plan, and act collaboratively.
  • Use LangSmith for experiment tracking, debugging, and performance optimization.
  • Build real-world, deployable AI applications from start to finish.
By the end, you won’t just understand RAG — you’ll be able to design, optimize, and deploy advanced AI systems for real-world scenarios.

What You’ll Learn

1. RAG Foundations
  • What RAG is and why it matters.
  • Traditional RAG architecture: data ingestion, parsing, embeddings, and retrieval.
  • Choosing and using vector databases effectively.
  • Building retrieval + generation workflows with LangChain.
2. Advanced RAG Techniques
  • Advanced chunking strategies for precision retrieval.
  • Hybrid search: combining vector and keyword search.
  • Multimodal RAG for text, images, and more.
  • Persistent memory for context retention.
  • Self-RAG for improving retrieval quality.
  • Adaptive & Corrective RAG for dynamic and error-resistant pipelines.
3. Agentic RAG Pipelines
  • Multi-agent architectures with LangGraph.
  • Designing agents for research, summarization, and decision-making.
  • Autonomous RAG with minimal human intervention.
  • Collaborative AI reasoning with specialized agents.
4. LangSmith for RAG Evaluation & Optimization
  • Tracking and managing RAG experiments.
  • Debugging retrieval pipelines and fixing bottlenecks.
  • Running evaluation metrics to boost accuracy.
5. Real-World RAG Projects
  • Chatbot with domain-specific knowledge.
  • Multi-agent research assistant for automated reports.
  • Multimodal AI assistant with text and image retrieval.
  • Deploying RAG applications to the cloud.
Who This Course Is For
  • AI developers & machine learning engineers.
  • Data scientists integrating retrieval systems.
  • Software developers building intelligent assistants.
  • Researchers exploring advanced RAG workflows.
  • Anyone aiming to master RAG from scratch to production-ready deployment.
  • Tools & Frameworks You’ll Master
  • LangChain – Build modular RAG pipelines.
  • LangGraph – Create advanced agent-based workflows with memory.
  • LangSmith – Track, debug, and evaluate RAG systems.
  • Vector Databases – FAISS, Pinecone, Weaviate, and more.
  • Cloud Deployment – Take AI apps from development to production.
Your Learning Journey
  • Understand RAG fundamentals.
  • Build real-world retrieval pipelines.
  • Advance to agentic and autonomous AI systems.
  • Deploy and monitor in production.
  • Optimize for continuous improvement.
RAG is more than just an AI trend — it’s the foundation of intelligent, context-aware applications.

By the end of this bootcamp, you’ll have hands-on, production-ready skills to build and deploy cutting-edge RAG pipelines with LangChain, LangGraph, and LangSmith.

Join the Ultimate RAG Bootcamp today — and start building AI systems that truly understand, reason, and deliver results.

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

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.Last updated: April 21, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith is a high-value resource for learners seeking to build skills inDevelopment. Taught by KRISHAI Technologies Private Limited, Krish Naik on Udemy, the 29h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $169.99 to $10.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 22,582 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing

Course Rating Summary

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith Course holds an aggregate rating of 4.6 out of 5 based on 22,582 student reviews on Udemy.

4.6
★★★★★
22,582 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on KRISHAI Technologies Private Limited, Krish Naik, the instructor responsible for creating and maintaining Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith on Udemy.

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith is taught by KRISHAI Technologies Private Limited, Krish Naik, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

Instructor Name: KRISHAI Technologies Private Limited, Krish Naik
Subject Area: Development
Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

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