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

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

⭐ 4.7 out of 5 Rating (1,139 students) Created by Bharath Thippireddy Updated: April 5, 2026 🌐 English

Key Takeaways

A summarized snapshot of the essential course data, author credentials, and live coupon verification statistics from our manual technical audit.

Course Title: Hands-On RAG with LangChain: Build Real-World Projects

Provider: Udemy (Listed via CoursesWyn)

Instructor: Bharath Thippireddy

Coupon Verified On: April 5, 2026

Difficulty Level: All Levels

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 Udemy 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. · 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

Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).

Coupon: Click REDEEM COUPON below to apply discount

⚠️

To ensure the discount appears as $0, please use a standard browser window. Private or incognito modes may interfere with instructor verification cookies and prevent successful code activation.

What You'll Learn

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

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.

How to Redeem

Official authorized step-by-step procedure to ensure your 100% OFF discount protocol is successfully activated at the Udemy checkout.

1

Click Redeem

Use our authorized link to visit the official course dashboard via our secure gateway.

2

Validate Price

Verify the $0 price status appears in your enrollment cart before proceeding.

3

Gain Access

Finalize enrollment to gain permanent lifetime ownership and certificate rights.

Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

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 Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

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.

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

B

Bharath Thippireddy

Verified Architect

A global leader with specialized excellence in IT & Software. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.

Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

AD
Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Hands-On RAG with LangChain: Build Real-World Projects stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.7
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

Frequently Asked Questions

Curated answers to the most frequent learner inquiries regarding availability, certification, and enrollment logic protocols.

Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

Contact Andrew Verified by CoursesWyn Editorial Team
Discovery Engine

Browse Supportive Categories

Explore related professional domains and specialized curriculum hubs from our verified academic library.

Stay Ahead with Our Knowledge Intel

Every 24 hours, we filter 5,000+ courses to deliver only the top 10 verified premium coupons directly to your inbox.

Discovery Module

Highly Recommended Active Offerings

Discover additional professional verified deals within the same academic category from Bharath Thippireddy.

2026-End to End Test Automation with Playwright (TS/C#/Java)

2026-End to End Test Automation with Playwright (TS/C#/Java)

Verified Offer Active
AI: Certified AI Foundations Professional | Accredited

AI: Certified AI Foundations Professional | Accredited

Verified Offer Active
Building Gen AI App 12+ Hands-on Projects with Gemini Pro

Building Gen AI App 12+ Hands-on Projects with Gemini Pro

Verified Offer Active
Linux Shell Scripting: A Project-Based Approach to Learning

Linux Shell Scripting: A Project-Based Approach to Learning

Verified Offer Active