Hands-On RAG with LangChain: Build Real-World Projects — 90% OFF Discount Coupon

Master Retrieval-Augmented Generation by building practical, production-ready applications with LangChain

★4.7 out of 5
1,139 students
Created by Bharath Thippireddy
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Hands-On RAG with LangChain: Build Real-World Projects before you enroll:

•Course Name: Hands-On RAG with LangChain: Build Real-World Projects
•Platform: Udemy
•Instructor: Bharath Thippireddy
•Coupon Last Verified: April 5, 2026
•Level: Advanced
•Topic: IT & Software
•Subtopic: Retrieval Augmented Generation (RAG)
•Total Time: 3h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Set up PostgreSQL with the pgvector extension to enable efficient vector search · Build an end to end RAG pipeline connecting Large Language Models LLMs with PostgreSQL · Implement a RAG pipeline step-by-step: retrieval, context injection, and grounded LLM responses.
•Requirements: Basic Python knowledge (functions, imports, virtual environments). · Familiarity with APIs and JSON is helpful but not mandatory.
•Current Price: $9.99 (was $99.99). You save $90.00 with 90% 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 Hands-On RAG with LangChain: Build Real-World Projects, you'll have these practical skills:

✓Set up PostgreSQL with the pgvector extension to enable efficient vector search .
✓Build an end to end RAG pipeline connecting Large Language Models LLMs with PostgreSQL .
✓Implement a RAG pipeline step-by-step: retrieval, context injection, and grounded LLM responses. .
✓Explore vector indexes (HNSW, IVFFlat) and learn how they improve retrieval speed and accuracy. .
✓Apply semantic caching to reduce cost and latency while improving response times. .
✓Evaluate RAG systems using RAGAS metrics like faithfulness, context recall, and precision. .
✓Enhance retrieval quality with re-ranking and metadata filtering. .
✓Deploy APIs for ingestion and RAG Q&A to make your projects production-ready and testable.

What You Need Before Starting

Before enrolling in Hands-On RAG with LangChain: Build Real-World Projects, make sure you have:

•Basic Python knowledge (functions, imports, virtual environments).
•Familiarity with APIs and JSON is helpful but not mandatory.
•An OpenAI API key
•Docker basics are a plus, but we’ll cover the commands you need.
•Curiosity to build real-world AI apps using vector databases and LLMs.
•Visual Studio Code,Docker,PGAdmin

About This Udemy Course

The following is the full official course description for Hands-On RAG with LangChain: Build Real-World Projects as published on Udemy by instructor Bharath Thippireddy:

Retrieval-Augmented Generation (RAG) is one of the most powerful ways to make Large Language Models (LLMs) smarter, more reliable, and production-ready. Instead of depending only on what the model “knows,” RAG allows us to fetch relevant knowledge from external sources and provide precise, up-to-date answers.

In this hands-on course, you’ll go beyond the basics and actually build RAG pipelines step by step using LangChain, the leading framework for LLM applications. Whether you are a developer, data scientist, or AI enthusiast, this course will give you the practical skills to design, implement, and optimize real-world RAG projects.

What You’ll Learn
  • Real-World Project: Build two end-to-end RAG Projects on Company Data and E-Commerce Semantic Search.
  • Caching Strategies: Use embedding and response caching to reduce cost, latency, and improve efficiency.
  • Indexing: Explore Flat, IVF Flat, HNSW, and disk-based indexes; learn which one to use for your dataset.
  • Reranking: Improve answer precision using similarity scores, cross-encoders, and LLM-based reranking.
  • Evaluations (Evals & Ragas): Measure faithfulness, relevance, and retrieval quality with Ragas metrics.
  • Metadata: Use metadata filters to make retrieval precise, context-aware, and production-ready.

Why Take This Course?
  • It’s hands-on — you won’t just learn theory; you’ll build working RAG pipelines.
  • You’ll learn best practices for scaling from demo to production.
  • Content is designed for real-world applications in enterprise, startups, and research.
  • You’ll walk away with code, skills, and confidence to build your own RAG-powered apps.

Who This Course Is For
  • Developers and data scientists interested in LangChain and LLM applications.
  • AI/ML engineers who want to deploy production-ready RAG systems.
  • Professionals curious about vector databases, embeddings, and retrieval systems.
  • Anyone who wants to go beyond ChatGPT and build AI that leverages their own data.

By the end of this course, you’ll have the knowledge and hands-on experience to design and implement efficient RAG pipelines with LangChain — and the skills to apply them to your own projects or business use cases.

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Is the Hands-On RAG with LangChain: Build Real-World Projects Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 5, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Hands-On RAG with LangChain: Build Real-World Projects is a high-value resource for learners seeking to build skills inIT & Software. Taught by Bharath Thippireddy on Udemy, the 3h 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 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 1,139 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 Hands-On RAG with LangChain: Build Real-World Projects:

  • The depth of IT & Software 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

Hands-On RAG with LangChain: Build Real-World Projects Course holds an aggregate rating of 4.7 out of 5 based on 1,139 student reviews on Udemy.

4.7
★★★★★
1,139 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 Bharath Thippireddy, the instructor responsible for creating and maintaining Hands-On RAG with LangChain: Build Real-World Projects on Udemy.

Hands-On RAG with LangChain: Build Real-World Projects is taught by Bharath Thippireddy, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Bharath Thippireddy
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Hands-On RAG with LangChain: Build Real-World Projects, 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.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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