Hands-On RAG with LangChain: Build Real-World Projects — 93% Off Coupon

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

⭐ 4.5 out of 5(2,181 students enrolled)Created by Bharath ThippireddyLast updated: 🌐 English

Course Summary & Verified Data

Here are the verified details for this course — pricing, instructor, duration, and coupon validity. All data checked on .

•Course Title: Hands-On RAG with LangChain: Build Real-World Projects
•Provider: Udemy (listed via CoursesWyn)
•Instructor: Bharath Thippireddy
•Coupon Verified On: July 25, 2026
•Difficulty Level: Advanced
•Category: IT & Software
•Subcategory: Retrieval Augmented Generation (RAG)
•Duration: 3h of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by the provider upon finishing all course requirements
•Top Learning Outcomes: 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.
•Prerequisites: Basic Python knowledge (functions, imports, virtual environments). · Familiarity with APIs and JSON is helpful but not mandatory.
•Price: $9.99 with coupon / Regular price: $149.99. Applying this coupon saves you $140.00 (93% OFF).
•Coupon: Click REDEEM COUPON below to apply discount

Learning Objectives

By the end of this course, you will be able to:

✓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.

Prerequisites & Preparation

Before enrolling, 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

Full Course Description

The official description from Udemy — what's covered, how it's taught, and who it's for:

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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Side-by-Side Comparison

Compare this course side by side with a similar alternative to find the best fit.

FeatureHands-On RAG with LangChain: Build Real-World ProjectsCURRENTAdvanced RAG: Build & Deploy Production GenAI Apps
ProviderUdemyUdemy
Price$9.99 $149.99 -93%$9.99 $149.99 -93%
Rating⭐ 4.5 (2.2k)⭐ 4.6 (581)
Duration3h11h
Coupon✅ Active✅ Active
ActionView DealView Deal

Our Expert Assessment

Expert review by Andrew Derek, Deal CuratorUpdated Jul 25, 2026

We have reviewed this course based on its curriculum, student feedback, and current pricing. Taught by Bharath Thippireddy on Udemy, this 3h course covers practical skills you can apply immediately. At $9.99 ($93% off $149.99), this is a cost-effective way to build skills in IT & Software.

Pros

  • ✓Verified 93% price reduction.
  • ✓High learner satisfaction (4.5/5).
  • ✓Trusted by 2,181 students.
  • ✓Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
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"Given the 93% price reduction and verified 4.5-star rating, Hands-On RAG with LangChain: Build Real-World Projects is a strong value in IT & Software on Udemy. Enrollment recommended while the coupon is active."

✓
Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified July 25, 2026.Udemy coupons are time-limited — redeem as soon as possible.

Student Ratings Breakdown

Rated 4.5/5 by 2,181 students on Udemy. The estimated breakdown:

4.5
2,181 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. Last verified: July 25, 2026.

Meet Your Instructor

Learn more about Bharath Thippireddy, the instructor behind this course on Udemy.

BT
Bharath Thippireddy
Udemy Instructor
Full Profile ↗
Subject Area
IT & Software
Total Students
2,181+ enrolled
Rating
4.5 / 5.0
Course Duration
3h
Teaching Approach
Practical, project-based instruction focused on real-world application of IT & Software skills. This course provides structured progression from foundational concepts to advanced techniques.

Common Questions

Quick answers about this course, the coupon, and enrollment. Based on data from Udemy as of July 25, 2026.

About the Editor

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